The technical condition of main oil and oil product pipelines operated by Transneft PJSC organizations is characterized by a significant difference between individual sections by the period of operation, design parameters, loading, the degree of wear and tear of the electrochemical protection system, pipeline metal damage, etc. Ensuring the strength reliability (integrity) is based on the identification of those specific sections where the loss of load-bearing capacity or its reduction to a dangerous level occurred and where appropriate compensating measures are required; and in the remaining sections, the monitoring of the technical condition is organized using modern diagnostic tools. In this case, the technological efficiency of the overall package of measures taken will be determined by the reliability of the technical condition assessment and the economic efficiency, in turn, will be determined by their joint planning, which allows determining the minimum necessary impact on the pipeline to ensure reliability and safety requirements. The methodological basis of the action planning system developed by The Pipeline Transport Institute LLC is the fullest possible use of available data on the technical condition of pipelines. A complex system of interconnected multi-parameter criteria has been formed for each of the implemented compensatory measures, each of which, in fact, belongs to an independent scientific field, and to combine them within the framework of solving a single problem (ensuring economic efficiency) the common knowledge bases and data obtained as a result of research and diagnostic works are used. The next stage in the development of the integrated planning system will be the transition from a system of harmonized planning criteria to unified reliability and risk criteria for all activities, for which the necessary methodological and information base has been established.

References

1. Bezopasnost’ Rossii. Pravovye, sotsial’no-ekonomicheskie i nauchno-tekhnicheskie aspekty. Energeticheskaya bezopasnost’ (Neftyanoy kompleks Rossii) (Security of Russia. Legal, socio-economic and scientific-technical aspects. Energy security (Oil complex of Russia)), Moscow: Znanie Publ., 2000, 432 p.

2. Mazur I.I., Ivantsov O.M., Bezopasnost’ truboprovodnykh sistem (Safety of pipeline systems), Moscow: Elima Publ., 2004, 1104 p.

3. Radionova S.G., Revel-Muroz P.A., Lisin Yu.V. et al., Scientific-technical, socio-economic and legal aspects of oil and oil products transport reliability (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2016, no. 5 (25), pp. 20–31.

4. Chibara L.M., Hesterberg T.C., Mathematical statistics with resampling and R, Wiley, 2011, 440 p.

5. Altunin A.E., Semukhin M.V., Modeli i algoritmy prinyatiya resheniy v nechetkikh usloviyakh: monografiya (Models and algorithms for decision making in fuzzy conditions), Tyumen: Publ. of TSU, 2000, 352 p.

6. Milov V.R. et al., Primenenie bayesovskoy metodologii dlya prognozirovaniya sostoyaniya diskretnykh stokhasticheskikh sistem v usloviyakh neopredelennosti (Application of Bayesian methodology to forecasting the state of discrete stochastic systems under uncertainty), Proceedings of NNSTU, 2009, V. 74, no. 15, pp. 72-78.

7. Borovkov A.A., Matematicheskaya statistika. Otsenka parametrov. Proverka gipotez (Mathematical statistics. Estimation of parameters. Hypothesis testing), Moscow: Nauka Publ., 1984, 472 p.

8. Safety Guide “Metodicheskie rekomendatsii po provedeniyu kolichestvennogo analiza riska avariy na opasnykh proizvodstvennykh ob»ektakh magistral’nykh nefteprovodov i nefteproduktoprovodov” (Guidelines for conducting a quantitative analysis of the risk of accidents at hazardous production facilities of main oil pipelines and oil product pipelines), approved Order Rostekhnadzor from 29.12.2022 no. 478.

9. Anuchkin M.N., Goritskiy V.N., Miroshnichenko B.I., Truby dlya magistral’nykh truboprovodov (Pipes for main pipelines), Moscow: Nedra Publ., 1986, 231 p.

10. Lisin Yu.V., Neganov D.A., Makhutov N.A., Zorin N.E., Application of size-scale effect for main pipeline strength foundation (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2017, no. 6, pp. 112-116, DOI: http://doi.org/10.24887/0028-2448-2017-6-112-116

The system of main pipeline transportation of oil and oil products is a component of both fuel & energy and transport sectors in the Russian Federation. The constant pivotal priority of Transneft PJSC being Russia's major oil pipeline company is environmental protection and a high level of environmental safety at Transneft production facilities. In accordance with the Health Safety Environment (HSE), Energy Efficiency, and Environmental Safety Policy of Transneft PJSC, the main principles of the Company’s activities are as follows: reducing the environmental impact of production activities; counteracting climate change processes; preventing and mitigating negative impacts on the environment, rational use of natural resources; involvement of staff across all levels in improving the environmental management system; and openness of significant information on the environmental safety activities. The development of environmental protection equipment and technologies is a promising line of business for The Pipeline Transport Institute LLC in the field of environmental safety of pipeline transportation. Every year, the experts of The Pipeline Transport Institute LLC successfully solve the tasks assigned to them to protect atmospheric air and water bodies, preserve biodiversity, save energy, and counteract climate change. They regularly evaluate identified scientific and technical problems and formulate related rectification proposals.

References

1. Savost’yanova M Yu. et al., Choice of standard design solutions for block modular wastewater biological treatment plants for their implementation at transneft facilities (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2023, V. 13,

no. 1, pp. 60–71, DOI: https://doi.org/10.28999/2541-9595-2023-13-1-60-71

2. Savost’yanova M.Yu., Norina L.A., Nikolaeva A.V., The new technology of waste water treatment by using bioreactors with bio membranous movable bed - biochips (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2020, V. 10,

no. 3, pp. 276–292, DOI: https://doi.org/10.28999/2541-9595-2020-10-3-276-292

3. Vengerov A.A., Mitel’ V.I., Resursosberezhenie nefteproduktov. Ispol’zovanie vtorichnykh energoresursov (Resource conservation of petroleum products. Use of secondary energy resources), Collected papers “Neft’ i gaz Zapadnoy Sibiri” (Oil and gas of Western Siberia), Proceedings of International scientific and technical conference dedicated to the 50th anniversary of the Tyumen Industrial Institute, Tyumen, 17th October 2013, Part 1, Tyumen: Publ. of TSPU, 2013, pp. 87–90.

As part of the main oil and oil product pipeline systems, there are site facilities with fire and explosion hazardous objects, where lightning protection and grounding systems operate. Previously, materials were published addressing the scope of work to inspect lightning protection and grounding systems (LPGS) at the facilities of Transneft PJSC. Such inspections have been conducted by The Pipeline Transport Institute LLC on a regular basis for more than 10 years. During this time, a number of theoretical studies related to optimization of the technology for LPGS inspection have been carried out, and rich practical experience in performing field work and automating the processing of the obtained data has been accumulated. This article presents the results of the analysis of the state of existing LPGS taking into account the standards under which these systems were designed and constructed, as well as the new regulatory and technical documents. The trends of change in the state of lightning protection and grounding systems of site facilities and line section facilities are analyzed. It is shown that as systematized inspections of the technical condition of these systems are introduced, the culture of their maintenance by operating organizations increases. At present, there is a trend to reduce the number of non-compliances at oil pumping stations, oil depots, as well as block valve stations and other line section facilities. Inspections are carried out on the basis of prospective programs and programs for the planned calendar year.

References

1. Lurie M.V., Mastobaev B.N., Revel’-Muroz P.A., Soshchenko A.E., Proektirovanie ekspluatatsiya nefteprovodov (Design and operation of oil pipelines), Moscow: Nedra Publ., 2019, 432 p.

2. Kalmatskiy M.A., No weak points (In Russ.), Truboprovodnyy transport nefti, 2013, no. 9, pp. 24–29.

3. Mogil’ner L.Yu., Neganov D.A., Skuridin N.N., Obsledovanie metallokonstruktsiy na ploshchadochnykh ob»ektakh magistral’nykh truboprovodov (Inspection of metal structures at on-site facilities of main pipelines), Moscow: Tekhnosfera Publ., 2023, 440 p.

4. Mogil’ner L.Yu., Vladova A.Yu., Vlasov N.A., Pankratov A.N., Integral criterion for evaluation of the condition of lightning protection and grounding system of oil transfer objects (In Russ.), Bezopasnost’ truda v promyshlennosti, 2017, no. 2, pp. 40–46.

5. Kopysov A.F., Luk’yanov S.V., Mogil’ner L.Yu., Vlasov N.A., Examination of lightning protection and grounding systems for flammable and explosive objects: improvement of technology (In Russ.), (In Russ.), Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktov = Science & Technologies: Oil and Oil Products Pipeline Transportation, 2018, no. 1, V. 8, pp. 84–91.

6. Oslon A.B., About measuring ground resistance (In Russ.), Elektrichestvo, 1957, no. 2, pp. 56–59.

7. Kostruba S.I., Izmerenie elektricheskikh parametrov zemli i zazemlyayushchikh ustroystv (Measuring electrical parameters of the earth and grounding devices), Moscow: Energoatomizdat Publ., 1983, 168 p.

8. Zaborovskiy A.I., Elektrorazvedka (Electrical prospecting), Moscow: Gostoptekhizdat Publ., 1963, 424 p.

9. Khmelevskoy V.K., Kratkiy kurs razvedochnoy geofiziki (A brief course in exploration geophysics), Moscow: Publ. of MSU, 1967, 223 p.

10. Kvyatkovskiy G.I., Metod soprotivleniya zazemleniya v inzhenernoy geofizike (Ground resistance method in engineering geophysics), Moscow: Nedra Publ., 1993, 88 p.

11. Oslon A.B., Kostruba S.I., Measuring the resistance of large ground electrodes (In Russ.), Elektrichestvo, 2006, no. 8, pp. 49–56.

12. Basmanov V.G., Zazemlenie i molniezashchita (Grounding and lightning protection), Part 1. Zazemlenie (Grounding), Kirov: Publ. of VyatGU, 2009, 155 p.

13. Karyakin R.N., Zazemlyayushchie ustroystva elektroustanovok: spravochnik (Grounding devices for electrical installations: reference book), Moscow: Energoservis Publ., 2006, 519 p.

14. Petrova N.V., Cheshko I.D., Analiz ekspertnoy praktiki po issledovaniyu pozharov, proisshedshikh na ob»ektakh khraneniya nefti i nefteproduktov (Analysis of expert practice in the study of fires that occurred at oil and petroleum products storage facilities), Collected papers “Problemy i perspektivy sudebnoy pozharno-tekhnicheskoy ekspertizy“ (Problems and prospects of forensic fire-technical examination), Proceedings of International scientific and practical conference, St. Petersburg: Publ. of Saint-Petersburg University of State Fire Service of Emercom of Russia, 2015, pp. 78–81.

15. Mogil’ner L.Yu., Vlasov N.A., Bobachev A.A., Experience of the conditions monitoring of grounding devices on oil and oil product pipelines (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2024, no. 1, pp. 98-103, DOI: https://doi.org/10.24887/0028-2448-2024-1-98-103

16. NFPA 780-2011. National Fire Protection Association. Standard for the installation of lightning protection systems.

17. IEC 62305-2010. International Electrotechnical Commission. Protection against lightning.

18. Lightning risk and storage tank protection, URL: http://www.easyfairs.com/fileadmin/groups/8/Shop_2012/Day_2__12.10__Lanzoni__Mascarenas_and_Manbiar_...

19. RD 34.21.122-87. Instruktsiya po ustroystvu molniezashchity zdaniy i sooruzheniy (Instructions for lightning protection of buildings and structures), Moscow: Publ. of Ministry of Energy of the USSR, 1987, 32 p.

20. RD 153-34.0-20.525-00. Metodicheskie ukazaniya po kontrolyu sostoyanie zazemlyayushchikh ustroystv elektroustanovok (Guidelines for monitoring the condition of grounding devices in electrical installations), Moscow: Publ. of ORGRES, 2000, 64 p.

A lot of hydrocarbon traps are associated with tectonic shielding by faults. Tectonic shifts can lead to both shielding of hydrocarbon deposits and cross flows into adjacent blocks or along tectonic faults. The study considers a technology for assessing the faults fluid permeability based on the determination of hydrodynamic windows in the both hanging-wall and footwall tectonic blocks. 1D Allan sections, shale gouge ratio and different techniques of modern structural geology are discussed. Requirements for the quality of geological models based on the structural approach are considered. A workflow for the application of the technology for assessing the fluid permeability of faults and possible restrictions are proposed. The considered methodological approaches should be used for risk assessment of hydrocarbons saturation of shielded traps in the practice of geological exploration of oil and gas. The authors' researches were based on practical experience of geological exploration in the Western Caucasus and Eastern Siberia. The examples illustrated in the article came from the western part of the Vilyui syneclise, especially, for graben and half- graben zone systems. The target geological features are the Vendian-Cambrian terrigenous-carbonate traps. The risk matrix and the probable height of the hydrocarbon traps associated with shielding by normal faults are the result of the work.

References

1. Allan U.S., Model for hydrocarbon migration and entrapment within faulted structures, AAPGBull., 1989, V. 73, pp. 803-811, DOI: https://doi.org/10.1306/44B4A271-170A-11D7-8645000102C1865D

2. Knipe R.J., Juxtaposition and seal diagrams to help analyze fault seals in hydrocarbon reservoirs, AAPG Bull., 1997, V. 81, pp. 187-195, DOI: https://doi.org/10.1306/522B42DF-1727-11D7-8645000102C1865D

3. Yielding G., Freeman B., Needham D.T., Quantitative fault seal prediction, AAPG Bull., 1997, V. 81, pp. 897-917, DOI: https://doi.org/10.1306/522B498D-1727-11D7-8645000102C1865D

4. Yielding G., Shale Gouge Ratio-calibration by geohistory, Norwegian Petroleum Society Special Publications, 2002, V. 11, pp. 1-15, DOI: http://doi.org/10.1016/S0928-8937(02)80003-0

NK Rosneft-NTC LLC, being one of the leading corporate research and design institutes of Rosneft Oil Company, actively uses information modeling technologies in design, survey and scientific activities at new and existing capital construction projects. NK Rosneft-NTC LLC uses an integrated approach to 3D design of objectsat various stages of their life cycle. Software and task templates have beendeveloped for transmission to related departments and filling with attributeinformation in the environment of the Russian software package «Model Studio CS». By combining a 3D model with a point cloud, employees can analyze collisions using several parameters and quickly make adjustments. In this regard, the approach of scanning various objects at a certain frequency is being actively implemented, which allows for time analysis in the context of various factors. At any stage of the object’s life cycle, an information model created with the possibility of subsequent additions has a number of advantages and is, in essence, a digital repository of important attribute information for its subsequent qualitative modification and addition. Extending the life cycle of a 3D model together with a point cloud of an object is the key to the success of high-quality design and operation of various structures at hazardous production facilities, including reconstruction and technical re-equipment.

References

1. Certificate of official registration of a computer program no. 2024618089 RF. Rasstanovka zon deystviya porazhayushchikh faktorov dlya Model Studio CS (Arrangement of zones of action of damaging factors for Model Studio CS), Authors: Bogachev A.C., Zhukov D.V., Pisarenko A.V.

2. Certificate of official registration of a computer program no. 2021616527 RF. Svaya-OR (Pile-OR), Authors: Dubrov A.D., Poverennyy Yu.S.

3. Certificate of official registration of a computer program no. 2020618505 RF. Svaya-SAPR Pro (Pile-CAD Pro), Authors: Medyanik S.S., Kesiyan G.A., Dubrov A.D., Zenkov E.V., Zagumennikova A.V., Poverennyy Yu.S., Fedoseenko V.O., Gilev N.G.

4. Avrenyuk A.N., Didichin D.G., Pavlov V.A. et al., 3D engineering for Rosneft oil producing facilities construction (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2022, no. 11, pp. 64–67, DOI: https://doi.org/10.24887/0028-2448-2022-11-64-67

5. Sabirov R.A., Poteshkin P.V., Avrenyuk A.N., The direction of research to ensure the completeness and reliability conclusions about the technical condition of buildings (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2019, no. 8, pp. 141–144, DOI: https://doi.org/10.24887/0028-2448-2019-8-141-144

6. Avrenyuk A.N., Asadullina G.S., Timerbulatov R.M., Praktika primeneniya rezul’tatov nazemnogo lazernogo skanirovaniya kak osnovy dlya 3D proektirovaniya ploshchadnykh ob»ektov modernizatsii, rekonstruktsii i tekhperevooruzheniya mestorozhdeniy (The practice of applying the results of ground-based laser scanning as a basis for 3D design of areal facilities for the modernization, reconstruction and technical re-equipment of fields), Proceedings of scientific and practical conference “Aktual’nye zadachi neftegazokhimicheskogo kompleksa. Dobycha i pererabotka” (Actual tasks of the petrochemical complex. Extraction and processing), Moscow, 21-22 November 2019, Moscow, 2019, pp. 124–126.

One of the tasks solved by the employees of NK Rosneft-NTC LLC (a subsidiary of Rosneft Oil Company) is to improve the design technologies of structures located in the Far North. The effectiveness of the design decisions made depends on the accuracy of the results of forecasting changes in temperature distributions in the engineering and geological section. The results of forecasting depend on the correct interpretation of the engineering-geological and thermophysical characteristics of the soils of the foundations refined at the design site. Despite this, some of the characteristics that influence the results of predictive modeling are not accepted on the basis of laboratory studies, but are calculated using computational methods based on empirical dependencies. The NTC staff evaluated the calculation methodology proposed in the normative and technical documentation, which makes it possible to determine the dependence of the humidity value due to unfrozen water on the soil temperature. The effect of salinity of soil moisture for unsalted soils on the dependence under consideration was chosen as the studied parameter. In order to determine the degree of influence, predictive thermal engineering calculations were performed for a number of mine workings located in the north of the Krasnoyarsk Territory. In order to improve the accuracy of the results of forecasting changes in temperature distributions, the NTC staff proposed to improve the calculation methodology for the value of the unfrozen water curve, set out in the regulatory and technical documentation. The proposed enhancement will improve the accuracy of predictive modeling and, as a result, optimize design solutions in terms of measures for temperature stabilization of foundation soils, as well as pile foundations of buildings and structures designed in the Far North.

References

1. Rukovodstvo pol’zovatelya FROST 3D (FROST 3D User Guide), URL: https://frost3d.ru/vypolnenie-prognoznyh-raschetov-temperaturnogo-rezhima-merzlyh-gruntov/

2. Rukovodstvo pol’zovatelya Borey 3D (Borey 3D User Manual), URL: https://www.boreas3d.ru/boreas3d%20user%20manual.pdf

3. Aleksyutina D.M., Motenko R.G., Composition, structure and properties of frozen and thawed deposits on the Baydaratskaya Bay coast, Kara Sea (In Russ.), Kriosfera Zemli, 2017, V. XXI, no. 1, pp. 13–25, DOI: https://doi.org/10.21782/KZ1560-7496-2017-1(13-25)

4. Pustovoyt G.P., Grechishcheva E.S., Golubin S.I., Avramov A.V., How the type of input data affects prognostic temperature calculations for design in permafrost

(In Russ.), Kriosfera Zemli, 2018, V. XXII, no. 1, pp. 51–57, DOI: https://doi.org/10.21782/KZ1560-7496-2018-1(51-57)

5. Yadovina K.S., Mashchenko A.V., On importance of determining thermophysical properties of seasonal freezing soils (In Russ.), Vestnik Permskogo natsional’nogo issledovatel’skogo politekhnicheskogo universiteta. Stroitel’stvo i arkhitektura = Bulletin of Perm National Research Polytechnic University. Construction and Architecture, 2017, V. 8, no. 1, pp. 81–89, DOI: https://doi.org/10.15593/2224-9826/2017.1.07

6. Gorelik Ya.B., Pazderin D.S., Correctness of formulation and solution of thermotechnical problems in forecasting temperature field dynamics in the foundations of constructions on permafrost (In Russ.), Kriosfera Zemli, 2017, V. XXI, no. 3, pp. 49-59, DOI: https://doi.org/10.21782/KZ1560-7496-2017-3(49-59)

The paper presents the results of an experimental study of the influence of trace amounts of sepiolite/palygorskite clay impurities on the hydrochloric acid – dolomite reaction. Acid dissolution studies were carried out using a rotating disk reactor at a temperature of 30°C and pressure of 10 MPa, which ensured the preservation of carbon dioxide, formed during the acid–rock reaction, in dissolved form. It has been found that the acid dissolution of dolomites that do not contain clay impurities is characterized by high rates and diffusion coefficients, comparable to the characteristics for limestones. At the same time, the presence of a small amount of clay leads to a decrease in the reaction rate by an order of magnitude. Scanning electron microscopy studies showed that a layer of transformed clay residues was formed on the surface of the samples. The presence of this layer prevents acid from reaching the rock surface and significantly reduces the rate of its dissolution. The founded effect of clays on the acid dissolution of carbonates is poorly understood, and for the case of sepiolite/palygorskite is described for the first time. The data obtained can be useful in selecting candidates for acid treatments and improvement of design development. In addition, the research results are intended to stimulate the search for new acid compositions and operating regimes during carbonate rocks acidizing in the presence of clay impurities.

References

1. Hoefner M.L., Fogler H.S., Pore evolution and channel formation during flow and reaction in porous media, AIChE Journal, 1988, V. 34, no. 1, pp. 45–54,

DOI: https://doi.org/10.1002/aic.690340107

2. Fredd C.N., Fogler H.S., Influence of transport and reaction on wormhole formation in porous media, AIChE Journal, 1998, V. 44, no. 9, pp. 1933–1949,

DOI: https://doi.org/10.1002/aic.690440902

3. A.A. Meshcheryakov et al., Justification of optimal acid composition formulation and treatment parameters using physical and mathematical modeling (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2023, no. 8, pp. 104–109, DOI: https://doi.org/10.24887/0028-2448-2023-8-104-109

4. Taylor K.C., Nasr-El-Din H.A., Measurement of acid reaction rates with the rotating disk apparatus, Journal of Canadian Petroleum Technology, 2009, V. 48, no. 6,

pp. 66–70, DOI: https://doi.org/10.2118/09-06-66

5. Salimov V.G. et al., Experimental study of carbonate rocks dissolution rate acid fracturing fluids (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2013, no. 1, pp. 68–71.

6. Lund K., Fogler H.S., McCune C.C., Acidization—I. The dissolution of dolomite in hydrochloric acid, Chemical Engineering Science, 1973, V. 28, no. 3, pp. 691–700,

DOI: https://doi.org/10.1016/0009-2509(77)80003-1

7. Lund K. et al., Acidization—II. The dissolution of calcite in hydrochloric acid, Chemical Engineering Science, 1975, V. 30, no. 8, pp. 825–835,

DOI: https://doi.org/10.1016/0009-2509(75)80047-9

8. Nasr-El-Din H.A. et al., Reaction kinetics of gelled acids with calcite, SPE-103979-MS, 2006, DOI: https://doi.org/10.2118/103979-MS

9. Hyunsang Yoo et al., An experimental investigation into the effect of pore size distribution on the acid-rock reaction in carbonate acidizing, Journal of Petroleum Science and Engineering, 2019, V. 180, pp. 504–517, DOI: https://doi.org/10.1016/j.petrol.2019.05.061

10. Hyunsang Yoo et al., An experimental study on acid-rock reaction kinetics using dolomite in carbonate acidizing, Journal of Petroleum Science and Engineering, 2018, V. 168, pp. 478–494, DOI: https://doi.org/10.1016/j.petrol.2018.05.041

11. Taylor K.C., Nasr-El-Din H.A., Mehta S., Anomalous acid reaction rates in carbonate reservoir rocks, SPE Journal, 2006, V. 11, no. 4, pp. 488–496,

DOI: https://doi.org/10.2118/89417-PA

12. Levich V.G., Fiziko-khimicheskaya gidrodinamika (Physico-chemical hydrodynamics), Moscow – Izhevsk: Publ. of Institute of Computer Research, 2016.

13. Nagy B., Bradley W.F., The structural scheme of sepiolite, American Mineralogist, 1955, V. 40, no. 9–10, pp. 885–892,

DOI: https://doi.org/10.1180/claymin.1954.002.12.15

14. Alver B.E., Sakızcı M., Ethylene adsorption on acid-treated clay minerals, Adsorption Science & Technology, 2012, V. 30, no. 3, pp. 265–273,

DOI: http://doi.org/10.1260/0263-6174.30.3.265

15. Chouikhi N. et al., CO2 adsorption of materials synthesized from clay minerals: A review, Minerals, 2019, V. 9, no. 9, 514 r., DOI: https://doi.org/10.3390/min9090514

The article presents the results of correlation of the Jurassic and Cretaceous sediments of the Purpei-Vasyugan and Tazo-Khetsky region, which made it possible to detail the internal structure of the Yanovstan formation and determine the position of productive strata in its composition. The Yanovstan formation is interpreted as a geological body consisting of two sub-formations. The lower substructure of the parallel layered structure consists of basal, Tolkinskaya, Bazhenov units. The upper sub-formation, bounded by the Soryakhinskaya unit (the top of the Bazhenov horizon), has a clinoform structure. Its deposits consistently downlap to the top of the Bazhenov unit. The constructed model is in good agreement with the results of previous studies. The areas of the Yanovstan sub-formations, as well as the areas of its productive reservoirs became the basis for zoning the territory. It is proposed to divide the Tazo-Khetsky region into two sub-districts: Eastern and Western. The eastern sub-district is divided into two zones – Mangazey and Thermokarst, the western sub-district into – Novochaselskaya and Tolkinskaya. Productive reservoirs YN3, YN2 of the lower sub-formation are present in the Tolkinskaya and Thermokarst zones. In the Eastern subdistrict, the YN1 reservoir is present as part of the upper sub-formation.

References

1. Reshenie VI Mezhvedomstvennogo stratigraficheskogo soveshchaniya po rassmotreniyu i prinyatiyu utochnennykh stratigraficheskikh skhem mezozoyskikh otlozheniy Zapadnoy Sibiri (Decision VI of the interdepartmental stratigraphic meeting on the review and adoption of refined stratigraphic schemes of the mesozoic deposits of Western Siberia), Novosibirsk: Publ. of SNIIGGiMS, 2004, 113 p.

2. Nezhdanov A.A., Seysmogeologicheskiy analiz neftegazonosnykh otlozheniy Zapadnoy Sibiri dlya tseley prognoza i kartirovaniya neantiklinal’nykh lovushek i zalezhey UV (Seismogeological analysis of oil and gas bearing deposits in Western Siberia for the forecasting and mapping of non-anticlinal traps and hydrocarbon deposits): thesis of doctor of geological and mineralogical science, Tyumen’, 2004.

3. Mkrtchyan O.M., Varushchenko A.I., Potemkina S.V., Some aspects of regional geological model of Upper Jurassic deposits of West Siberia (In Russ.), Geologiya nefti i gaza = The journal Oil and Gas Geology, 2005, no. 1, pp. 30-35.

4. Ukhlova G., Varlamov S., Urasinov B., The structure of the Upper Jurassic deposits of the north-east of the West Siberian plate (In Russ.), Tekhnologii toplivno-energeticheskogo kompleksa, 2007, no. 5, pp. 10–16.

5. Karogodin Yu.N., Klimov S.V., Khramov M.F., Regional’nye stratony-sistemy kellovey-verkhneyurskogo razreza Zapadnoy Sibiri (sistemno-litmologicheskiy podkhod) (Regional stratons-systems of the Callovian-Upper Jurassic section of Western Siberia (systemic-lithological approach)), Collected papers “Yurskaya sistema Rossii: problemy stratigrafii i paleogeografii” (Jurassic system of Russia: problems of stratigraphy and paleogeography), Proceedings of Third All-Russian Conference, Saratov: Nauka Publ., 2009, pp. 83–85.

6. Borodkin V.N., Kurchikov A.R., To the problem of refining the western and eastern boundaries of the Achimov clinoform complex (West Siberia) (In Russ.), Geologiya i geofizika, 2015, V. 56, no. 9, pp. 1630–1642.

7. Zyza E.A., Khasanov T.I., Identification of Bazhenian suite analogs in the north-east areas of West Siberia (In Russ.), Izvestiya vuzov. Neft’ i gaz, 2015, no. 2, pp. 6–12.

8. Gilaev R.M., Stupakova A.V., Stafeev A.N. et al., Structure of Bazhenov horizon in the north-east of West Siberia (In Russ.), Vestnik Moskovskogo universiteta. Seriya 4. Geologiya = Moscow University Bulletin. Series 4. Geology, 2018, no. 3, pp. 41–45.

9. Naydenov L.F., Geologicheskoe stroenie i perspektivy neftegazonosnosti kellovey-verkhneyurskikh otlozheniy Bol’shekhetskoy vpadiny (Geological structure and oil and gas potential of the Callovian-Upper Jurassic deposits of the Bolshekhetskaya depression): thesis of candidate of geological and mineralogical science, Moscow, 2023.

10. Shemin G.G., Vernikovskiy V.A., Deev E.V. et al., Detailed correlation and improved facies zoning of Callovian-Upper Jurassic oil and gas bearing formations (the Siberian sector of the Arctic) (In Russ.), Geologiya nefti i gaza = Oil and gas geology, 2023, no. 1, pp. 27–51, DOI: http://doi.org/10.31087/0016-7894-2023-1-27-51

11. Staroselets D.A., Smirnov P.V., Yanovstan formation of Western Siberia: Lithology, structure, and correlation of deposits (In Russ.), Litosfera = LITHOSPHERE, 2024, V. 24, no. 1, pp. 63–80, DOI: https://doi.org/10.24930/1681-9004-2024-24-1-63-80

12. Shurygin B.N., Nikitenko B.L., Alifirov A.S. et al., Novyy razrez prigranichnykh tolshch volzhskogo i berriasskogo yarusov Bol’shekhetskoy megasineklizy (Zapadnaya Sibir’): kompleksnaya paleontologicheskaya kharakteristika, lito-, bio-, i khemostratigrafiya (New section of the boundary strata of the Volgian and Berriasian stages of the Bolshekhetskaya megasyneclise (Western Siberia): complex paleontological characteristics, litho-, bio-, and chemostratigraphy), Collected papers “Yurskaya sistema Rossii: problemy stratigrafii i paleogeografii” (Jurassic system of Russia: problems of stratigraphy and paleogeography), Proceedings of Second All-Russian Conference, Yaroslavl’: Publ. of Yaroslavl State Pedagogical University named after K.D.Ushinsky, 2007, pp. 253–255.

13. Marinov V.A., Kislukhin I.V., Merkulov V.P. et al., Kharakteristika pogranichnykh yursko-melovykh otlozheniy Bol’shekhetskoy strukturnoy terrasy (Zapadnaya Sibir’) (Characteristics of the Jurassic-Cretaceous boundary deposits of the Bolshekhetskaya structural terrace (Western Siberia)), Collected papers “Melovaya sistema Rossii i blizhnego zarubezh’ya: problemy stratigrafii i paleogeografii” (Cretaceous system of Russia and neighboring countries: problems of stratigraphy and paleogeography), Proceedings of IX All-Russian Conference, Belgorod, 17-21 September 2018, Belgorod: POLITERRA Publ., 2018, pp. 178–182.

14. Levkovich O.S., Marinov V.A., Rogov M.A., Kolmakov A.Yu., Stroenie valanzhinskogo i ryazanskikh yarusov na yugo-vostoke Yamalo-Nenetskogo avtonomnogo okruga (YaNAO) (The structure of the Valanginian and Ryazanian stages in the southeast of the Yamalo-Nenets Autonomous Okrug (YNAO)), Proceedings of “GeoSochi-2024. Novye idei i tekhnologii razvedochnoy i promyslovoy geofiziki” (GeoSochi-2024. New ideas and technologies of exploration and production geophysics), 2024, pp. 49–51.

15. Catuneanu O., Principles of sequence stratigraphy, Amsterdam: Elsevier, 2006, 375 p.

Geomechanical modeling used to study the geomechanical properties of reservoir is an important tool for improving the quality of drilling and field development, as it allows optimizing processes and prevents potential complications. Geomechanical simulation provides optimum well trajectory, optimum mud density and circular density, optimum casing depth, formation pressure and fracture gradient profiles, intervals of instability and loss of circulation. The application of computer methods in geomechanics makes it possible to adapt and disseminate methods of mathematical modeling for the study of complex geomechanical processes. Prediction of sand production in the course of the development of formation parameters is one of the important tasks for the selection of well completion system. The use of geomechanical models in hydrodynamic modeling makes it possible to predict changes in the geological characteristics of objects under development and more reliably predict development parameters. Thus, geomechanical modeling has a significant impact on the life cycle of the field as a whole. This article discusses the use of geomechanical modeling in the construction of a well with a horizontal ending to improve the efficiency of the development of a section of the Lower Miocene deposit of the White Tiger field.

References

1. Plumb R.A., Edwards S., Pidcock G., Lee D., The mechanical earth model concept and its application to high-risk well construction projects, SPE-59128-MS, 2000, DOI: http://doi.org/10.2118/59128-MS

2. Fjaer E., Holt R.M., Horsrud P. et al., Petroleum related rock mechanics, Developments in Petroleum Science, 1992, V. 33.

The article explores the topic of the quality of materials used to isolate lost circulation zones when drilling oil wells at the facilities of Rosneft Oil Company. The article provides an example of data analysis on the quality of lost circulation materials (LCM). The analysis revealed shortcomings in existing approaches among manufacturers and service organizations to quality control of LCM based on fractionated materials. The quality indicators used for LCM are difficult to interpret from the point of view of practical application. To control the quality of colmatants the authors, based on world experience, proposed monitoring the size of LCM particles using the values of the percentiles of the particle size distribution (PSD). The article provides definitions of the terms used in mathematical statistics and their description from a practical point of view. Methods for visualizing PSD data of colmatants known in the literature are presented. PSD percentiles are determined by calculation based on the results of analysis of the fractional composition by different methods. The choice of analysis technique depends on several criteria described in the article. Sieve analysis (SA) is the most common and accessible method for analyzing the particle size of bulk materials. Based on the methodology for calculating the main percentiles of the PSD, the authors developed special requirements for the SA methodology to increase the accuracy of the calculation. As a result, a new technique for controlling the main percentiles of PSD using the sieve analysis method was developed, implemented and certified. The article provides a complete description of the analysis methodology and an example of calculating the main percentiles based on SA data. The proposed approach to LCM quality control lays the foundation for increasing the efficiency of LCM technology during the construction of wells at the facilities. The article is intended for specialists in the oil and gas industry, manufacturing enterprises, and research organizations involved in the production, application and quality control of LCM used in well drilling.

References

1. Polyakov V.N., Mnatsakanov V.A., Aver’yanov A.P., Fokin V.V., Reasons for the low efficiency of methods for combating absorption in drilling (In Russ.), Stroitel’stvo neftyanykh i gazovykh skvazhin na sushe i more, 2009, no. 3, pp. 14–17.

2. Yadrin V.V., Lind Yu.B., Galiev A.F., The use of modern information technologies for loss prediction in order to prevent them in the design of well construction and effective elimination during drilling (In Russ.), Problemy sbora, podgotovki i transporta nefti i nefteproduktov, 2023, no. 1, pp. 79–86, DOI: https://doi.org/10.17122/ntj-oil-2023-1-79-87

3. Udal’tsov D.A., Avtomatizatsiya sbora i obrabotki dannykh na primere reestra po likvidatsii pogloshcheniy pri burenii skvazhin na proektakh PAO “NK “Rosneft’” (Automation of data collection and processing using the example of the registry for the elimination of absorption during well drilling in the projects of Rosneft Oil Company), Proceedings of Scientific and practical conference “Inzhiniring stroitel’stva i rekonstruktsii skvazhin” (Engineering of construction and reconstruction of wells), 6–7 September 2023, Samara: Publ. of SamaraNIPIneft’, 2023.

4. Certificate of state registration of a computer program no. 2023686006. Reestr pogloshcheniy burovykh rastvorov (Drilling fluid absorption register), Authors: Sarkisov I.I., Kulakov D.Yu., Bembak E.V., Udal’tsov D.A., Korobchanu A.M., Shirokov I.P.

5. Ishbaev G.G., Dil’miev M.R., Khristenko A.V., Mileyko A.A., Bridging theories of particle size distribution (In Russ.), Burenie i neft’, 2011, no. 6, pp. 16–18.

6. Alkinani H.H., A comprehensive analysis of lost circulation materials and treatments with applications in Basra’s oil fields, Iraq: Guidelines and recommendations, Master’s Theses, 2017, URL: https://scholarsmine.mst.edu/masters_theses/7873

7. Kageson-Loe N.M., Sanders M.W., Growcock F. et al., Particulate-based loss-prevention material – The secrets of fracture sealing revealed, SPE-112595-PA, 2009, DOI: http://doi.org/10.2118/112595-MS

8. Kurochkin B.M., Tekhnika i tekhnologiya likvidatsii oslozhneniy pri burenii i kapital’nom remonte skvazhin (Equipment and technology for eliminating complications during drilling and well workover), Part 1, Moscow: Publ. of VNIIOENG, 2007, 597 p.

9. API-TR-13TR3. Size measurement of dry, granular drilling fluid particulates, URL: https://standards.globalspec.com/std/13082652/api-tr- 13tr3

Drilling fluid degassers are used to prevent oil gas water showings and, according to the requirements of current Safety Regulations, they are necessarily included in the circulation systems of drilling rigs. At the same time, there is a lack of uniform requirements for the design of degassers, and an unreasonably wide variety of them is observed on drilling rigs. The purpose of the article is to analyze the known designs of drilling mud degassers in order to identify advantages and disadvantages and develop recommendations for choosing a rational option. Degassers are classified into low-vacuum and vacuum. Low-vacuum can be divided into fan (atmospheric) and vacuum-pumping. The main characteristic of all types of drilling mud degassers is the productivity of the treated mud, which must be at least the maximum supply of drilling pumps in the gas-hazardous interval. In this case, the degasser must remove all free gas from the drilling mud. It is shown that in high vacuum, gas bubbles (even very small ones) rapidly increase and burst in the rarefaction environment. At the same time, the effectiveness of low-vacuum degassers has not been proven, and they are used not because of their effectiveness, but because of the inconveniences that arise when starting vacuum apparatus. In Russian conditions, it is recommended to use vacuum degassers with cyclic unloading. The main advantage of this type of degasser in comparison with degassers with jet pumps is the absence of a slurry pump and independence from the presence of a conditioned mud in the tanks. It is recommended to pay attention to the variety of these devices with the placement of the receiver on the body. This cyclic discharge degasser is compact, protected from uncontrolled leaks, and can be equipped with a heated water tank.

References

1. Bulatov A.I., Proselkov Yu.M., Shamanov S.A., Tekhnika i tekhnologiya bureniya neftyanykh i gazovykh skvazhin (Technique and technology of oil and gas wells drilling), Moscow: Nedra-Biznestsentr Publ., 2003, 1007 p.

2. Pravila bezopasnosti v neftyanoy i gazovoy promyshlennosti (Oil and gas safety regulations), Moscow: TsentroMAG Publ., 2024, 420 p.

3. Mishchenko V.I. Kortunov A.V., Prigotovlenie, ochistka i degazatsiya burovykh rastvorov (Preparation, cleaning and degassing of drilling fluids), Krasnodar: ArtPress Publ., 2008, 336 p.

4. Drilling fluids processing handbook, Gulf Professional Publishing, 2005, 667 p.

5. CD-1400 Centrifugal D-Gasser, Houston: MI SWACO, 2014, URL: https://www.kazmi.kz/documents/125/f_125491983175.pdf

6. URL: https://www.nov.com/products/dg-atm-atmospheric-degasser.

7. URL: https://stepoiltools.ru/equipment/degassers/#block601.

8. Pakhlyan I.A., Problems and prospects of using hydro-ejector mixers in the preparation of drilling fluids and process liquids (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2020, no. 11, pp. 112–114,

DOI: https://doi.org/10.24887/0028-2448-2020-11-112-114

9. Pakhlyan I.A. Omel'yanyuk M.V. Khachaturyan A.M., Improving the efficiency of wells repair and insulation work at gas and oil fields of the Krasnodar Territory (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2022, no. 12, pp. 130-133, DOI: https://doi.org/10.24887/0028-2448-2022-12-130-133

The upper part of the geological section of the deposits of Eastern Siberia is composed of permafrost, weakly cemented rocks and karst cave formations. During the drilling of such intervals, a number of complications arise associated with the absorption of flushing and cementing fluids, sloughs and collapses of well walls. Drilling of complicated sections of the wellbore is carried out using a complex design (additional direction with a diameter of 426 mm) and aerated liquid. The history of well construction under these conditions has shown the low efficiency of using various technological and technical solutions in terms of high-quality fastening of casing columns (conductors). Even the use of quick-setting compounds did not give positive results when cementing well casing strings. Based on the results of an analysis of standard technologies for direct and counter cementing of conductors in conditions of complete absorption using cementing materials based on Portland cement in wells of fields in Eastern Siberia and taking into account the positive experience of cementing wells in permafrost conditions with gypsum cement mixtures, a comprehensive technological approach to fastening casing strings was developed. This solution involves direct and counter cementing using an additional plugging composition. As a result of the application of the developed technology, positive results were obtained for fastening casing columns in complicated conditions and intellectual property rights were issued.

References

1. Gladkov E.A., Shiribon A.A, Karpova E.G., Ways solutions of the problems encountered during drilling in Eastern Siberia (In Russ.), Burenie i neft', 2015, no. 4, pp. 42–45.

2. Gorskiy A.T., Formation of cement stone under conditions of simultaneous exposure to positive and negative temperatures (In Russ.), Neft' i gaz Tyumeni, 1969,

no. 3, pp. 22–26.

3. Ugol'nikov Yu.S., Complex technological solutions to isolate intervals of the acquisitions process fluids (In Russ.), SPE-181950-MS, 2016,

DOI: https://doi.org/10.2118/181950-MS

4. Bykov V.V., Paleev S.A., Medvedev Yu.V., Improving the quality of cementing lines and conductors in the conditions of permafrost in the fields in Eastern Siberia

(In Russ.), SPE-181937-MS, 2016, DOI: https://doi.org/10.2118/181937-MS

5. Patent RU2792128C1, Method for cementing the conductor, a technical column during the construction of wells, Inventors: Akhmetzyanov R.R., Bykov V.V.,

Zakharenkov A.V., Paleev S.A.

The issue of the possibility of creating an in-well nuclear steam generator (INSG) for the development of carbonate light oil fields of the Central Khoreyver Uplift (CHU) was investigated. INSG has key advantages - the effective operation period is about 8 years, there is no need for regular maintenance, there is no greenhouse gases emission, it does not require an external energy source (electrical or thermal), and steam generation occurs directly in the wellbore, which significantly reduces heat loss when delivering steam from the steam generator to the bottom of the injection well. The advantages of INSG determine the niche of their possible application - autonomously located fields (without access to external power grids and gas pipelines), where there are prospects for using thermal methods to increase oil recovery. At the same time, the low coefficient of oil displacement by formation water (about 0.5) creates the preconditions for the implementation of thermal enhanced oil recovery. In joint research and development work with Rosatom, Zarubezhneft JSC developed and patented devices for downhole steam generation. The heat source in these devices is radioactive elements that have been used up in nuclear power plant reactors. Currently, the use of a INSG is limited by the amount of available radioactive element - europium and the high cost of producing radioactive heat emitters, due to safety requirements when working with radioactive elements.

References

1. Kudryashov S.I., Sansiev G.V., Afanas’ev I.S. et al., Study of the possibility of using radioactive heat sources for the implementation of thermal enhanced oil recovery methods (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2024, no. 6, pp. 55-62, DOI: https://doi.org/10.24887/0028-2448-2024-6-55-62

2. Patent RU 2756155 C1, Well ring heater, Inventors: Kudryashov S.I., Afanasev I.S., Antonenko D.A., Terentev V.L., Solovev A.V., Oshejko Yu.V., Verbitskij A.G.

3. Patent RU 2756152 C1, Well beam heater, Inventors: Kudryashov S.I., Afanasev I.S., Antonenko D.A., Terentev V.L., Solovev A.V., Avdeenkov A.V., Ketlerov V.V.

4. Patent RU 2804628 C1, Method for increasing the efficiency of oil extraction using a heater based on ionizing radiation sources, Inventors: Kudryashov S.I., Afanasev I.S., Antonenko D.A., Terentev V.L., Solovev A.V., Avdeenkov A.V., Verbitskij A.G., Ketlerov V.V., Oshejko Yu.V., Surov S.V.

5. Penney R., Baqi Al Lawati S., Hinai R. et al., First full field steam injection in a fractured carbonate at Qarn Alam, Oman, SPE-105406-MS, 2007,

DOI: https://doi.org/10.2118/105406-MS

6. Das S., Application of thermal processes in heavy oil carbonate reservoirs, SPE-105392-MS, 2007, DOI: https://doi.org/10.2118/105392-MS

7. Penney R.K., Moosa R., Shahin G.T. et al., Steam injection in fractured carbonate reservoirs: Starting a new trend in EOR, Proceedings of International Petroleum Technology Conference, Doha, Qatar, November 2005, DOI: https://doi.org/10.2523/IPTC-10727-MS

8. Zhang P., Austad T., Wettability and oil recovery from carbonates: Effects of temperature and potential determining ions, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2006, V. 279, no. 1–3, pp. 179-187, DOI: https://doi.org/10.1016/j.colsurfa.2006.01.009

9. Volek C.W., Pryor J.A., Steam distillation drive - Brea Field, California, Journal of Petroleum Technology, 1972, V.24(08), pp. 899–906,

DOI: https://doi.org/10.2118/3441-PA

10. Alfredo P.-P., Marjorie G., César O., Eduardo M., Benchmarking of steamflood field projects in light/medium crude oils, SPE-72137-MS, 2001,

DOI: https://doi.org/10.2118/72137-MS

11. Haghighi M.B., Ayatollahi S., Shabaninejad M., Comparing the performance and recovery mechanisms for steam flooding in heavy and light oil reservoirs, SPE-144797-MS, 2012, DOI: https://doi.org/10.2118/144797-MS

12. Burger J., Sourieau P., Combarnous M., Thermal methods of oil recovery, Edition Technip, France, Paris, 1985.

One of the key parameters of a reservoir that determines well productivity and the dynamics of development indicators is its permeability. The statistical parameters of the reservoir permeability field have high uncertainty, and their values lie in a wide range. In this regard, the formation is considered as a spatial body, the local permeability of which in the inter-well space is a random field, the correlation scales of which are small compared to the characteristic dimensions of the entire system. Using the method of multivariate numerical hydrodynamic modeling and the method of equations for stochastic moments of the pressure field, the influence of the statistical characteristics of the permeability field on the patterns of fluid filtration in porous media is investigated. It is shown that the statistical characteristics of the random permeability field have a noticeable effect on the nature of the fluid flow in a porous medium. It was revealed that with a strong heterogeneity of the reservoir permeability, the flow of liquid occurs through the formed channels, and the distribution of the well flow rate obeys Poisson statistics. Channels of preferential filtration change the dynamics of well watering and significantly affect the performance of reservoir development. The use of the tool for variation of statistical parameters of the permeability field makes it possible in some cases to exclude non-physical modification of the initial parameters of the hydrodynamic model, thereby increasing its predictive ability.

References

1. Mikhaylov N.N., Pronitsaemost’ plastovykh sistem (Permeability of reservoir systems), Moscow: Publ. of Gubkin University, 2006, 186 p.

2. Dubrule O., Geostatistics for seismic data integration in Earth models, Tulsa, Society of Exploration Geophysicists & European Association of Geoscientists and Engineers, 2003, 281 p.

3. Pyrcz M.J., Deutch C.V., Geostatistical reservoir modeling, Oxford University Press, 2014, 427 p.

4. Tyler K.J., Svanes T., Henriquez A., Heterogeneity modelling used for a production simulation of a fluvial reservoir, SPE-25002-PA, 1994,

DOI: https://doi.org/10.2118/25002-PA

5. Salle C., Debyer J., Formation des gisements de pétrole: étude des phénomènes géologiques fondamentaux, Editions TECHNIP, 1976, 243 p.

6. Neiderau I., Analyzing the influence of correlation length in permeability on convective systems in heterogeneous aquifers using entropy production, Journal Geothermal Energy, 2019, no. 15, DOI: http://doi.org/10.1186/s40517-019-0151-6

7. Shvidler M.I., Statisticheskaya gidrodinamika poristykh sred (Statistical hydrodynamics of porous media), Moscow: Nedra Publ., 1985, 288 p.

8. Dagan G., Stochastic modeling of groundwater flow by unconditional and conditional probabilities, Water resources research, 1982, V. 18(4), pp. 835-848,

DOI: http://doi.org/10.1029/WR018i004p00835

9. Liyong Li, Hamdi Tchelepi, Dongxiao Zhang, Perturbation-based moment equation approach for flow in heterogeneous porous media: applicability rang and analysis of high-order terms, Journal of Computational Physics, 2003, V. 188(1), pp. 296-317, DOI: http://doi.org/10.1016/S0021-9991(03)00186-4

10. Novikov A.V. Posvyanskii D.V., The use of Feynman diagrammatic approach for well test analysis in stochastic porous media, J. Comp. Geoscience, 2020, V. 24,

pp. 921-931, DOI: https://doi.org/10.1007/s10596-019-09880-1

11. Posvyanskii D.V., Investigation of well inflow in highly heterogeneous stochastic porous media, ECMOR 2024.

12. Rytov S.M., Vvedenie v statisticheskuyu radiofiziku (Introduction to Statistical Radiophysics), Part. 1. Sluchaynye protsessy (Random processes), Moscow: Nauka Publ., 1966, 960 p.

Reduction of greenhouse gas emissions into the atmosphere and utilization of carbon dioxide (CO2), including through production wells, is an urgent task not only from the environmental point of view, but also as a method of flow stimulation. Periodic injection of carbon dioxide into production wells is referred to in the literature as the Huff and Puff technology/method. The efficiency of the technology is achieved mainly by reducing oil viscosity and volumetric expansion of oil, as well as reducing interfacial tension and residual oil saturation. However, the relative contribution of each of the factors and the possibility to optimize the process by increasing the effect of these components are rarely described in the literature. It is quite often mentioned that one of the effects of treatment is swelling of oil as a result of saturation and dissolution of CO2 in it. It is difficult to attribute this physical process to actually affecting additional oil. Since an increase in the volume factor reduces oil reserves in terms of standard conditions, and the gasification of oil in the reservoir and its subsequent separation in the field do not increase the final marketable mass of the product and commercial additional production. Many of such issues are debatable due to the lack of practical experience with CO2 injection. This paper analyzes the key physical factors affecting the efficiency of CO2 injection technologies. Analytical calculation is performed on a synthetic example in one of the commercial simulators, where a reservoir saturated with high-viscosity oil with low gas content is taken as an object of research. The processes occurring in the model when implementing the Huff and Puff technology is described, the dynamics of changes in the main parameters is given, quantitative assessment is given and some features of the additional production behavior are explained.

References

1. Arzhilovskiy A.V., Afonin D.G., Ruchkin A.A. et al., Express assessment of the increase in the oil recovery as a result of water-alternating-gas technology application

(In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2022, no. 9, pp. 63-67, DOI: http://doi.org/10.24887/0028-2448-2022-9-63-67

2. Popov E.Yu., Myasnikov A.V., Cheremisin A.N. et al., Experimental and computational complex for determination of the effectiveness of cyclic carbon dioxide injection for tight oil reservoirs (In Russ.), SPE-181918-MS, 2016, DOI: https://doi.org/10.2118/181918-MS

3. Rivera D.S., Reservoir simulation and optimization of CO2 Huff-and-Puff operations in the Bakken Shale: Thesis for the Degree of Master of Science in Engineering, Texas: The University of Texas at Austin, 2014.

4. Mardamshin R.R., Sten’kin A.V., Kalinin S.A. et al., Laboratory investigations of using high CO2 associated petroleum gas for injection at the Tolum field (In Russ.), Nedropol’zovanie, 2021, V. 21, no. 4, pp. 163-170, DOI: https://doi.org/10.15593/2712-8008/2021.4.3

5. Rui Wang, Chengyuan Lv, Shuxia Zhao et al., Experiments on three-phase relative permeability in CO2 flooding for low permeability reservoirs, SPE-174590-MS,

DOI: https://doi.org/10.2118/174590-MS

The paper analyzes the influence of physical and mechanical properties of fractured-porous rocks (carbonate oil and gas reservoirs) on the features of the development of such reservoirs. It is shown that the productivity of producing wells drilled in carbonate reservoirs may depend on the sizes of casing pipes used for casing the wellbores. It is established that the thickness of the casing pipe walls affects the distribution of compressive stresses in the borehole zone of wells and their productivity. It has been established that the development of wells in carbonate reservoirs should be carried out taking into account the characteristic time of reservoir pressure equalization in rock blocks and in the fracture space, which can be determined by analyzing the results of hydrodynamic studies of wells. It is shown that hydrophilization of bottom-hole zones of producing wells in carbonate reservoirs, hydrophobic or with a mixed type of wetability, will contribute to the redistribution of two-phase flows of reservoir fluid, increasing the productivity of these wells. It is noted that hydrophilization of the lower part of hydraulic fracturing cracks in horizontal wells drilled in hydrophilic formations increases the productivity of such wells for oil (gas), preventing the premature formation of zones of capillary impregnation of the rock with water in the vicinity of the crack banks. It is shown that the dependence of the filtration conductivity of fractured-porous rocks on the decrease in reservoir pressure during the development of the deposit is determined by the configuration of vertical cracks in this rock.

References

1. Svalov A.M., On simulation of mass exchange processes during two-phase filtration in a cracked porous medium (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2023, no. 1, pp. 49-51, DOI: https://doi.org/10.24887/0028-2448-2023-1-49-51

2. Sedov L.I., Mekhanika sploshnoy sredy (Continuum Mechanics), Part 2, Moscow: Nauka Publ., 1970, 568 p.

3. Zheltov Yu.P., Mekhanika neftegazonosnogo plasta (Mechanics of oil and gas reservoir), Moscow: Nedra Publ., 1975, 216 p.

4. Barenblatt G.I., Entov V.M., Ryzhik V.M., Dvizhenie zhidkostey i gazov v prirodnykh plastakh (Movement of liquids and gases in natural reservoirs), Moscow: Nedra Publ., 1982, 211 p. 

5. Svalov A.M., Mekhanika protsessov bureniya i neftegazodobychi (Mechanics of drilling and oil and gas production processes), Moscow: Librokom Publ., 2009, 256 p.

6. Sarkisov G.M., Raschety buril’nykh i obsadnykh kolonn (Calculations of drilling and casing columns), Moscow: Nedra Publ., 1971, 208 p.

7. Basarygin Yu.M., Bulatov A.I., Proselkov Yu.M., Burenie neftyanykh i gazovykh skvazhin (Oil and gas well drilling), Moscow: Nedra-Biznestsentr Publ., 2002, 632 p.

8. Makarov G.M., Okun’ B.I., Zhuchkov A.A., Vadetskiy Yu.V., Osobennosti vskrytiya, ispytaniya i oprobovaniya treshchinnykh kollektorov nefti (Features of opening, testing and sampling of fractured oil reservoirs), Moscow: Nedra Publ., 1973, 136 p.

9. Golf-Racht T., Fundamentals of fractured reservoir engineering, Amsterdam, New York: Elsevier, 1982. 

10. Svalov A.M., Features of inflow and pressure-buildup curves in porous fractured reservoirs (In Russ.), Inzhenerno-fizicheskiy zhurnal = Journal of Engineering Physics and Thermophysics, 2021, V. 94, no. 2, pp. 377–383.

11. Patent RU 2609031 C1, Composition of ion-modified water for increasing reservoir recovery, Inventors: Kudryashov S.I., Dashevskiy A.V., Afanas’ev I.S., Fedorchenko G.D., Grishin P.A., Fomkin A.V., Klinchev V.A.

12. Lebedinets N.P., About deformation changes of fractured reservoirs permeability (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2014, no. 6, pp. 99–101.

The paper presents an innovative approach to optimization of production well operation through combination of engineering methods, computer programming, and machine learning. The authors highlight the importance of estimating maximum allowable bottomhole pressure with account of saturation pressure, gas content, and reservoir stress state. Python-based program, integral with corporate information system of an oil company, was developed for automation of candidate well selection for bottomhole pressure optimization. Data collection and preparation involve generation and processing of spreadsheets, creation of new parameters, and data integration into a single database. Geological risks are also considered using data from updated reservoir simulation models of the company's fields. Well production potential estimation algorithm is divided into two blocks: increasing the production rates through optimization of existing downhole pumping equipment and its replacement with more efficient equipment. Models considering the dynamic fluid level, current bottomhole pressure, and operating parameters of pumping equipment help determine the optimal operating parameters of surface drive and downhole pumping equipment. Moreover, machine learning models for solution of multiple regression problem forecast changes in water cut behavior in production wells, once the production increases. An essential element of the research is creation of a web application for easy access to data and model predictions. Implementation of this interface accelerates and simplifies access to data required for analysis and decision-making, thereby significantly reducing the time and resources. Thus, a comprehensive approach that combines engineering methods, computer programming, and machine learning significantly improves the efficiency and enables automation of bottomhole pressure optimization in production wells to result in increased oil production at minimum costs.

References

1. Balandin L.N., Gribennikov O.A., Sviridova I.A., Current state of work of producing wells depending on BHP (In Russ.), Bulatovskie chteniya, 2017, V. 2, pp. 65–69.

2. Nazarova L.N., Razrabotka neftegazovykh mestorozhdenii s trudnoizvlekaemymi zapasami (Development of oil and gas fields with hard-to-recover reserves), Moscow: Publ. of Gubkin University, 2011, 156 p.

3. Mishchenko I.T., Skvazhinnaya dobycha nefti (Oil production), Moscow: Neft’ igaz Publ., 2003, 816 p.

4. Doskazieva G.Sh., Kuangaliev Z.A., Imangalieva G.E., Optimization of the wellsfields on «Dossormunaigas» (In Russ.), 2020, no. 3.1, pp. 30-34, URL: https://7universum.com/pdf/tech/3.1(72.1)/3.1(72.1).pdf

5. Nazarenko M.Yu., Zolotukhin A.B., Application of machine learning for probabilistic production forecasting and ultimately recoverable reserves estimation (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2020, no. 9, pp. 109–113, DOI: http://doi.org/10.24887/0028-2448-2020-9-109-113

6. Topol’nikov A.S., Machine learning for artificial lift (In Russ.), Neftegaz.ru, 2021, no. 5, pp. 14-19.

7. Zotkin O.V. et al., The new approach to improvement oil reservoir proxy model predictions using machine learning algorithms (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2019, no. 12, pp. 60–63, DOI: http://doi.org/10.24887/0028-2448-2019-12-60-63

8. Prokhorenkova L. et al., CatBoost: unbiased boosting with categorical features, NeurIPS 2018: 32nd Conference on Neural Information Processing Systems, Dec 2-8, 2018, Montréal, Canada 2018, DOI: https://doi.org/10.48550/arXiv.1706.09516

9. Chen T., Guestrin C., Xgboost: A scalable tree boosting system, ACM SIGKDD: Proceedings of the 22nd International Conference on Knowledge Discovery and Data Mining, Aug 2016, 2016, pp. 785-794, DOI: https://doi.org/10.1145/2939672.2939785.

10. Ke G. et al., LightGBM: A highly efficient gradient boosting decision tree, Advances in Neural Information Processing Systems 30 (NIPS 2017), Proceedings of 31st Conference on Neural Information Processing Systems, Long Beach, CA, USA, Dec 2017, 2017, 10 p.

11. Altmann A. et al., Permutation importance: a corrected feature importance measure, Bioinformatics, 2010,V. 26, Issue 10, pp. 1340-1347,

DOI: https://doi.org/10.1093/bioinformatics/btq134

At oil refineries, during the processes of oil fractionation, reforming and hydrotreating of raw materials, equipment is exposed to corrosion and deposits of ammonium chlorides due to the presence of hydrogen chloride. Experts agree that organochlorine compounds have both a native nature and can be brought in during oil production operations. The stages of preparing oil to commercial quality in fields with washing of salts and water-alkaline washing of oil at oil refineries are not capable of purifying oil from organochlorine compounds. Literary sources propose methods for purifying oil from organochlorine compounds, both through reagent treatment of oil and using technological solutions. However, so far none of the producing companies and oil refineries has introduced effective methods for purifying oil. In reality, the reduction of organochlorine compounds in oil depends on the control of preventing their entry into the stages of oil production and transportation. In this regard, oil producing enterprises have mastered methods for monitoring organochlorine compounds in oil and the chemical reagents used. This article presents the results of purifying oil from organochlorine compounds using a chemical reagent synthesized based on an alkylphenol derivative. A technological scheme for carrying out the process of complex oil purification is proposed, which can be implemented in both stationary and mobile versions and integrated into the existing infrastructure of an oil treatment plant.

References

1. Sun A., Fan D., Prediction, monitoring, and control of ammonium chloride corrosion in refining processes, San Antonio: TX: NACE International, 2010, p. 10359.

2. Rui Ma, Jianhua Zhu, Bencheng Wu et al., Distribution and hazards of organic chlorides in crude oil and its distillates, Petroleum Refinery Engineering, 2016, V. 46, no. 4, pp. 60–64.

3. Xiaohui Li, Bencheng Wu, Jianhua Zhu, Hazards of organic chloride to petroleum processing in chinese refineries and industrial countermeasures, Progress Petrochem Sci., 2018, V. 2, no. 3, pp. 204–207, DOI: http://doi.org/10.31031/pps.2018.02.000539

4. Medvedeva M.L., Gorelik A.A., Corrosion and protection of atmospheric rectification towers during an increase in the corrosivity of crude oil, Protection of Metals, 2002, V. 38, no. 5, pp. 497–499, DOI: http://doi.org/10.1023/A:1020367300919

5. Xiaohui Li, Bencheng Wu, Understanding to the composition and structure of organic chlorides in petroleum and its distillates, Pet. Sci. Technol., 2019, V. 37,

pp. 119–126, DOI: http://doi.org/10.1080/10916466.2018.1514407

6. Badamshin A.G., Nosov V.V., Presnyakov A.Yu. et al., Genesis of organochlorine compounds in crude oil and petroleum products (A review) (In Russ.), Neftekhimiya = Petroleum Chemistry, 2021, V. 61, no. 6, pp. 776–787, DOI: http://doi.org/10.31857/S0028242121060034

7. Nosov V.V., Presnyakov A.Yu., Badamshin A.G. et al., Organochlorine compounds in oil: problems and solutions (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2021, no. 4, pp. 110–113, DOI: http://doi.org/10.24887/0028-2448-2021-4-110-113

8. Xiaohui Li, Bencheng Wu, Jianhua Zhu, Qualitative and quantitative analysis of organic chlorides in gasoline by GC–ECD, Chin. J. Anal. Lab., 2016, V. 8, no. 35,

pp. 945–949.

9. Xiaohui Li, Bencheng Wu, Jianhua Zhu, Characterization of organic chlorides from atmospheric residue of crude oil: Part I, Gas chromatography–mass spectrometry, Sci. Fed. J. Pet., 2018, no. 2, pp. 1–7.

10. Rui Ma, Jianhua Zhu, Bencheng Wu et al., Distribution, qualitative and quantitative of chlorides in distillates of SL crude oil, Energy Fuels, 2017, V. 31, no, 1,

pp. 374–378, DOI: http://doi.org/10.1021/acs.energyfuels.6b02527

11. Bencheng Wu, Yongfeng Li, Xiaohui Li, Jianhua Zhu, Distribution and identification of chlorides in distillates from YS crude oil, Energy Fuels, 2015, V. 29, no. 3,

pp. 1391–1396, DOI: http://doi.org/10.1021/ef502450w

12. Patent US4721824A, Guard bed catalyst for organic chloride removal from hydrocarbon feed, Inventors: McWilliams J.P., Nemet-Mavrodin M.I., Sigal C.T., Wilson R.C.

13. Patent RU2065477S1, Method of removal of chlorine-containing compounds from petroleum, Inventors: Gershuni S.Sh., Yushmanova G.A., Rassokhatskiy N.I., Chunyukin V.A.

14. Patent RU2605601C1, Method of reducing content of organic chlorides in oil, Inventors: Tat’yanina O.S., Sudykin S.N., Gubaydulin F.R., Sakhabutdinov R.Z., Sannikova A.L., Mukhametgaleev R.R., Nosov S.K.

15. Patent RU2672263C1, Method of reducing content of organic chlorides in oil, Inventors: Abdrakhmanova L.M., Tat’yanina O.S., Sudykin S.N.

The regulatory and technical documents of the Russian Federation currently regulate only the content of light organochlorine compounds (COCs) in oils (the boiling point of which does not exceed 204 ° C), with a complete prohibition of COCs including heavy COCs (the boiling point of which goes above 204 ° C) in chemical reagents. In this regard, the control of the content of COCs in chemical reagents used to intensify oil production remains an urgent issue. This article describes the results of studies aimed at studying the possibilities of the formation of COCs because of the interaction of core and reservoir waters with the main chlorine-containing reagents used in geological and technical operations (GTOs), in particular, hydrochloric acid. An assessment of the effect of HCl concentration on the formation of COCs is presented, considering the partial neutralization of hydrochloric acid by carbonates included in the core. An increased formation of COCs in oils was revealed when interacting with mixtures of hydrochloric acid and calcium nitrate, and a theoretical justification for this observation was given. To determine possible sites of formation and concentrations of COCs in reservoir conditions close to real ones, hydrodynamic modeling of the technological process of hydrochloric acid treatment of a horizontal well was performed. The numerical CFD model showed a satisfactory convergence with analytical and laboratory values. With appropriate adjustment and addition of the model to the geological and physical characteristics of the reservoir and fluids, as well as the kinetics of possible reactions of COCs formation, the model can be used in planning the hydrochloric acid treatment and assessing the risks of COCs formation.

References

1. Lidin R.A., Molochko V.A., Andreeva V.A., Khimicheskie svoystva neorganicheskikh veshchestv (Chemical properties of inorganic substances), edited by Lidin R.A., Moscow: Khimiya Publ., 2000, 480 p.

2. Williams, W.J., Handbook of anion determination, London: Butterworth, 1979.

3. Li J.J., Name reactions: A collection of detailed reaction mechanisms, Springer Berlin Heidelberg, 2003, 465 p.

4. Moorcroft M.J., Davis J., Compton R.G., Detection and determination of nitrate and nitrite: A review, Talanta, 2001, V. 54(5), pp. 785–803,

DOI: http://doi.org/10.1016/S0039-9140(01)00323-X

The article reviews the topical issue of accelerating the transition to the information modeling of capital construction facilities in the oil and gas industry and ways to address this issue based on developing an «intelligent and lean» approach behind the pattern design methodology. The tool that allows for the reduction of labor costs is the intelligent system for information modeling of Cluster Pads.AI. The article describes the layered architecture of Cluster Pad.AI. It is shown that Cluster Pad.AI is an element of the general IT landscape of design and survey works of Rosneft Oil Company and ensures an optimum transition from the traditional document-oriented approach to the data-oriented one. Cluster Pad.AI provides automation of solutions throughout the value chain – from raw data input to obtaining the finished information model and design documents, which allows reducing time for building the information model for standard cluster pads, eliminating a human factor when building the information model due to the reduction of a number of a design engineer’s routine tasks, issuing the design estimates based on these models, increasing the coverage of the standard cluster pads with the information modeling technology up to 100 %. The article shows that the development and implementation of the Cluster Pad.AI project is a consistent continuation of the implementation of Rosneft Oil Company initiatives on the transition from the traditional design to the information modeling, which in the long run will allow the transition to the use of artificial intelligence tools to improve the design solutions and design documentation management efficiency.

References

1. Didichin D.G., Pavlov V.A., Volkov M.G. et al., New tools of Rosneft to improve the efficiency of design: the transition to 3D technology and information modeling in the block of capital construction (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2023, no. 8, pp. 64–68, DOI: https://doi.org/10.24887/0028-2448-2023-8-64-68

2. Avrenyuk A.N., Didichin D.G., Pavlov V.A. et al., 3D engineering for Rosneft oil producing facilities construction (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2022, no. 11, pp. 64–67, DOI: https://doi.org/10.24887/0028-2448-2022-11-64-67

3. Perechen’ porucheniy po realizatsii Poslaniya Prezidenta Federal’nomu Sobraniyu (List of instructions for the implementation of the President’s Address to the Federal Assembly), approved by the President of the Russian Federation on 30.03.2024 No. Pr-616

4. Resolution of the Government of the Russian Federation of March 5, 2021 No. 331 “Ob ustanovlenii sluchaev, pri kotorykh zastroyshchikom, tekhnicheskim zakazchikom, litsom, obespechivayushchim ili osushchestvlyayushchim podgotovku obosnovaniya investitsiy, i (ili) litsom, otvetstvennym za ekspluatatsiyu ob»ekta kapital’nogo stroitel’stva, obespechivayutsya formirovanie i vedenie informatsionnoy modeli ob»ekta kapital’nogo stroitel’stva” (On the establishment of cases in which the developer, technical customer, person providing or carrying out preparation of investment justification, and (or) person responsible for operation of capital construction project, ensure the formation and maintenance of an information model of capital construction project).

5. Didichin D.G., Pavlov V.A., Ivanov S.A. et al., Innovative Rosneft tools to improve development of design documentation efficiency: digital etalon project (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2023, no. 5, pp. 111–115, DOI: https://doi.org/10.24887/0028-2448-2023-5-111-115

6. Kravchenko A.N., Kosarev A.S., Pavlov V.A. et al., Standard design - Moving with the times (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2020, no. 11, pp. 13–15, DOI: https://doi.org/10.24887/0028-2448-2020-11-13-15

7. Didichin D.G., Pavlov V.A., Ivanov S.A. et al., New tools of Rosneft to improve the efficiency of design: platform solutions (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2023, no. 12, pp. 135–138, DOI: https://doi.org/10.24887/0028-2448-2023-5-111-115

The key initiative of developing Operational Efficiency Improvement (OEI) system is being implemented within the Strategy «Rosneft – 2030». It covers all aspects of the process of oil and gas production. In order to cut operational and capital expenditures OEI projects are being developed in producing subsidiaries. Further on best of them will be scaled-up in peer subsidiaries. In order to assure information exchange and to control scale-up process automated scale-up matrix was set in place and special tool («upscale hive») is used to monitor it. Scaling up of successful OEI projects at maximum level is absolute priority for development of OEI system that allows reducing expenditures through their realization at permanent basis. In this article, practical examples of OEI projects can be seen in domain «surface infrastructure in oil and gas production». Vector analysis was conducted at the basis of comparison of specific indicators among peer subsidiaries in order to set basic landmarks and so to optimize operational expenditures based on them. Together with Lomonosov Moscow State University Educational program for Company’s employees was developed and successfully integrated into OEI system. While setting annual targets every producing subsidiary gets KPI to unlock the potential of operational efficiency by means of OEI projects.

References

1. Isakov A.S., Lunin D.A., Khoroshev A.N., Integral rating of subsidiaries of Rosneft Oil Company (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2020, no. 11, pp. 16–19, DOI: https://doi.org/10.24887/0028-2448-2020-11-16-19

2. Isakov A.S., Nikonov V.V., Ganin A.E. et al., Operational Efficiency Improvement of oil&gas production in energy domain (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2023, no. 5, pp. 62–66, DOI: https://doi.org/10.24887/0028-2448-2023-5-62-66

3. Shook J., Managing to learn: Using the A3 management process to solve problems, gain agreement, mentor and lead, Lean Enterprise Institute, 2008, 138 p.

4. Juran J.M., Juran’s quality control handbook, McGraw-Hill, 1988, 1808 p.

Currently, manufacturing companies are focusing on the advantages of IT solutions to increase competitiveness. At oil refineries, there are a number of problems associated with insufficient automation of management processes, oversaturation of production data, but without an adequate level of analytics and management based on this data. The solution is the centralization of competencies for the collection, processing and analysis of important production information within the production management center (PMC). The PMC format is close to traditional dispatch and situation centers, but goes beyond them due to deeper work with the collected data in a historical perspective and through forecasting and optimization tasks. The article describes a conceptual model that is the basis for the implementation of the PMC, which solves a number of tasks and problems existing at the refinery. The described conceptual model is designed to accelerate the timing of information collection and processing, increase the level of automation and centralization of refinery management processes, efficiency of decision-making, industrial safety, creation or development of a unified information environment for control and management of production processes. The proposed conceptual model includes a description of the levels of the PMC IT platform, a scheme of interaction of the PMC digital platform with hardware and software complexes and IT systems (participating or providing relevant information for the operation of the PMC), a conceptual scheme of IT systems of the PMC digital platform (to achieve the target production management process), tasks implemented by the modules of the PMC digital platform, description of the organizational and functional structure of the PMC (including the standard structure of the PMC, requirements for the organization of the PMC staff) and the placement of production and human resources.

References

1. Hammer M., Champy J., Reengineering the corporation: A manifesto for business revolution, Harper Business, 1993, 223 p.

2. Zhavoronkov D.V., Organizatsionnye struktury upravleniya (Organizational management structures), Krasnodar: Publ. of Kuban State University, 2020, 100 p.

3. Parakhina V.N., Fedorenko T.M., Teoriya organizatsiy (Organization theory), Moscow: KnoRus Publ., 2010, 296 p.

4. Istomin E.P., Sokolov E.P., Teoriya organizatsiy. Sistemnyy podkhod (Organization theory. System approach), Moscow: EKSMO Publ., 2009, 314 p.

The article discusses the use of software algorithms to prepare cartographic data for early stages of exploration and field development planning. It is crucial for one of the major engineering tasks of Gazprom Neft, the creation of an integrated development concept, to have high-quality data at the early stage of conceptual design for facilities to develop hydrocarbon deposits. Lack of high-quality cartographic data during the analysis of license areas and early stages of large projects can lead to insufficient development of technical solutions, which can cause problems during exploration, design, and construction, resulting in increased implementation time and costs. Performing detailed field surveys or aerial photography during the early stages may not always be possible or economically feasible. The use of computational algorithms for object recognition based on the processing of remote sensing data from the Earth allows us to obtain detailed information about the terrain, water bodies, types of swamps, vegetation, and the location of common minerals. This information complements the dataset of the corporate geographic information system. The use of these algorithms in remote sensing analysis improves the quality of data, helps find optimal routes for linear objects, and reduces the cost of preparing areal objects for engineering.

References

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2. Gholamalinezhad H., Khosravi H., Pooling methods in deep neural networks, a review, arXiv:2009.07485, 2020.

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10. Koronatova N.G., Mironycheva-Tokareva N.P., Solomin Ya.R., Thermal regime of peat deposits of palsas and hollows of peat plateaus in Western Siberia (In Russ.), Kriosfera Zemli, 2018, V. 22, no. 6, pp. 16–25, DOI: https://doi.org/10.21782/KZ1560-7496-2018-6(16-25)

The article discusses the use of a digital information model of ground infrastructure for monitoring and optimizing the efficiency of field infrastructure. The developed module «Analysis of power grid facilities (PGF) Readiness» within the framework of the corporate information system «RN-KIN» is described to automate the identification of objects that are lagging behind the required commissioning period and the selection of optimal power supply schemes. The application of the module at various stages of the project life cycle is considered, including the analysis of the electrical grid, the formation of the concept and selection of mobile installations, as well as the introduction of the adopted concept into the digital information model. Within the framework of the module, the mobile power supply schemes are compared and selected: temporary energy centers - diesel generator sets or energy centers using associated gas, mobile overhead lines, mobile substations. In the developed module, the selection of mobile solutions is carried out on the basis of electrical calculations and economic assessment. All calculation and selection results are downloaded from the module in the form of ready-made recommendations and a normal network electrical connection diagram. The developed digital solution will improve the efficiency and quality of projects in the field of conceptual design and long-term planning of onshore infrastructure of the field. The developed methodology and module «Analysis of PGF readiness» were tested on the example of one of the largest subsidiaries of Rosneft. It is planned to widely introduce the module in the company’s mining companies soon.

References

1. RN.DIGITAL: RN-KIN, Rosneft, URL: https://rn.digital/rnkin/

2. Kostrigin I.V., Zagurenko T.G., Khatmullin I.F., History of the creation and deploying of software package RN-KIN (In Russ.), Nauchno-tekhnicheskiy vestnik OAO “NK “Rosneft’”, 2014, no. 2, pp. 4–7.

3. Il’yasov R.R., Svechnikov L.A., Karimov M.R., Automatic optimal surface infrastructure generation algorithm (In Russ.), Nauchno-tekhnicheskiy vestnik OAO “NK “Rosneft’”, 2014, no. 2, pp. 36–39.

4. Pravila ustroystva elektroustanovok. Vse deystvuyushchie razdely shestogo i sed’mogo izdaniy s izmeneniyami i dopolneniyami (Rules for the construction of electrical installations. All current sections of the sixth and seventh editions with amendments and additions), Moscow: EKSMO Publ., 2024.

The current paper presents a brief retrospective of digital learning tools implementation at Gubkin University. Conducting summer internships is one of the integral parts of university education. It involves obtaining a working profession and the subsequent consolidation of theoretical knowledge, practical skills and abilities in oil and gas production enterprises. Due to various reasons, the quality of educational and testing materials provided for the internships may vary even within the same university, which negatively affects students’ mastery of the hands-on experience. Within the framework of this paper the authors propose a novel solution, the digital educational models of equipment which became the basis of the new educational application «Practical work for a student of the Oil and Gas Field Development Faculty». The key difference between a «digital educational model» and a digital 3D model of a piece of equipment is the presence of training scenarios that allow students to study the equipment parts, as well as the actions of an employee using this equipment. Moreover, the training scenarios include knowledge examination tools with equipment parts nomenclature testing and its operation or maintenance sequence testing. The paper shows several training scenarios in the educational application that was created as a web page, which provides cross-platform access for PC and mobile devices.

References

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6. Martynov V.G., Pyatibratov P.V., Sheynbaum V.S., Development of innovative educational technology for teaching students in a virtual environment of professional activity (In Russ.), Vysshee obrazovanie segodnya, 2012, no. 5, pp. 4–8.

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10. Shelyago E.V., Shelyago N.D., Case-study of using educational mobile applications in higher education in the Oil and Gas Engineering specialty (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2021, no. 10, pp. 128–132, DOI: https://doi.org/10.24887/0028-2448-2021-10-128-132

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