New tools of Rosneft Oil Company to improve the efficiency of design: artificial intelligence

UDK: 681.518:622.276
DOI: 10.24887/0028-2448-2023-11-50-55
Key words: design, 3D modeling, design and survey work, artificial intelligence (AI), neural networks, machine learning, optimization of the placement of construction objects, modeling of downhole space, mapping, recognition systems, intelligent assistant
Authors: D.G. Didichin (Rosneft Oil Company, RF, Moscow), V.A. Pavlov (Rosneft Oil Company, RF, Moscow), N.O. Vahrusheva (Izhevsk Petroleum Research Center CJSC, RF, Izhevsk), O.A. Filimonova (Izhevsk Petroleum Research Center CJSC, RF, Izhevsk)

Digital transformation and artificial intelligence (AI) play a special role in modern industry. They allow expanding the functional completeness of traditional methods, technologies and software tools, developing new methods based on intelligent computing technologies, and creating new data models designed for multidimensional data analysis, modeling and forecasting. Active application of these solutions is observed in the processes of monitoring, evaluating, making design and management decisions, performing time-consuming and multifunctional tasks and analyses. The AI introduction in the oil and gas industry improves the efficiency of design processes and increases the productivity of applied technologies.

The article discusses the possibilities of using AI methods for planning, design, development, forecasting and achieving high results in the field of oil and gas production. Such methods can significantly reduce costs during the design, construction and operation of oil and gas fields by increasing the productivity and speed of project work, improving the quality of work performed and significantly reducing the number of design errors and their timely correction. AI methods are able and allow to increase the level of safety and manage environmental research and natural resources more effectively by eliminating the human factor in monitoring and forecasting processes. AI tools make it possible to increase the efficiency of the use of labor and financial resources, reduce time costs, and optimize production processes during the hydrocarbons extraction. AI tools are used to interpret the results of 3D design and laser scanning, in engineering geology and geodesy, environmental surveys, designing highways and linear objects and solving organizational and managerial tasks in the design and construction of oil and gas facilities. The authors of the article systematized the AI capabilities, methods and in the field of oil and gas production, and showed the possibilities to improve design and survey work through AI use. The ways to further innovative development of AI tools are suggested as a key direction of digital transformation of the oil and gas industry.

References

1. Zoidov K.Kh., Ponomareva S.V., Serebryanskiy D.I., Strategic planning and prospects of using artificial neuron net-works in the domestic oil and gas industry (In Russ.), Regional’nye problemy preobrazovaniya ekonomiki, 2018, no. 9, pp. 15-24, DOI: https://doi.org/10.26726/1812-7096-2018-9-15-24

2. Kazak A.N., Nikolenko M.B., Ispol’zovanie neyronnykh setey v neftegazovoy industrii (Using neural networks in the oil and gas industry), Proceedings of All-Russian scientific and practical conference “Informatsionnye sistemy i tekhnologii v modelirovanii i upravlenii” (Information systems and technologies in modeling and management), Simferopol’: Izdatel’stvo Tipografiya “Arial” Publ., 2017, pp. 434-437.

3. Kravchenko P.D., Kosogova Yu.P., Ol’khovskaya R.A., Possibilities of using artificial intelligence in the design of new facilities (In Russ.), Inzhenernyy vestnik Dona, 2022, no. 5(89), pp. 268-273.

4. Korolev V.A., On the problems of digitalization and artificial intelligence in engineering geology (In Russ.), Inzhenernaya geologiya, 2021, V. 16, no. 1, pp. 10-23,

DOI: https://doi.org/10.25296/1993-5056-2021-16-1-10-23

5. Cheremisin D.G., Mkrtchan V.R., The relevance of the use of artificial intelligence in solving geodetic problems (In Russ.), Simvol nauki, 2022, no. 12, pp. 39-40.

6. Ovchinnikova N.G., Medvedkov D.A., The use of unmanned aerial vehicles for land management, cadastre and urban planning (In Russ.), Ekonomika i ekologiya territorial’nykh obrazovaniy, 2019, V. 3, no. 1, pp. 98-108, DOI: http://doi.org/10.23947/2413-1474-2019-3-1-98-108

7. Dmitrievskiy A.N., Eremin N.A., Chernikov A.D. et al., Automated system for preventing accidents during well construction (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2021, no. 1, pp. 72-76, DOI: https://doi.org/10.24887/0028-2448-2021-1-72-76

8. Dmitrievskiy A.N., Stolyarov V.E., Eremin N.A., Role of information in application of artificial intelligence technologies in construction of wells for oil and gas fields (In Russ.), Nauchnyy zhurnal Rossiyskogo Gazovogo Obshchestva = The scientific journal of the Russian Gas Society, 2020, no. 3(26), pp. 6-21.

9. Khamidulin T.G., Application of artificial neural networks in the transport industry (In Russ.), Ekonomika i sotsium, 2019, no. 4(59), pp. 851-858.

10. Babushkina N.E., Lyapin A.A., Solving the problem of determining the mechanical properties of road structure materials using neural network technologies (In Russ.), Advanced Engineering Research, 2022, V. 22, no. 3, pp. 285-292, DOI: https://doi.org/10.23947/2687-1653-2022-22-3-285-292

11. Kostyukova A. P., Kostyukova T. P., Saubanov V. S., Shayakhov O. F., Technological aspects of models construction for objects of oil and gas infrastructure (In Russ.), Mezhdunarodnyy nauchno-issledovatel’skiy zhurnal, 2018, no. 8(74), pp. 40-44, DOI: https://doi.org/10.23670/IRJ.2018.74.8.006

12. Gazarov A.R., The method of determining of video camera’s workspase displacement with using multi-element manipulator (In Russ.), Izvestiya Tul’skogo gosudarstvennogo universiteta. Tekhnicheskie nauki, 2020, no. 4, pp. 136-139.

13. Dmitrievskiy A.N., Stolyarov V.E., Eremin N.A., Current issues and indicators of digital transformation of oil and gas production at the final stage of field operation (In Russ.), SOCAR Proceedings, 2021, Special Issue No. 2, DOI: http://doi.org/10.5510/OGP2021SI200543

14. Kostyukova A.P., Kostyukova T.P., Saubanov V.S., To the question of development of modern competences of professional activity of the specialist (In Russ.), Fundamental’nye issledovaniya, 2016, no. 7-2, pp. 241-246.

15. Sarychev D.S., Using of information modeling during preparing of the developed design and production documentation (In Russ.), SAPR i GIS avtomobil’nykh dorog, 2015, no. 2 (5), pp. 20-24, DOI: http://doi.org/10.17273/CADGIS.2015.2.3

16. Chebkasov D.S., Strokanev K.S., Sharipov T.R. et al., Development of a new tool to optimize the non-uniform placement of oil wells (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2023, No. 3, pp. 71-73, DOI: https://doi.org/10.24887/0028-2448-2023-3-71-73


Attention!
To buy the complete text of article (Russian version a format - PDF) or to read the material which is in open access only the authorized visitors of the website can. .