New approaches to the assessment of production potential

UDK: УДК 622.276:004.94
DOI: DOI: 10.24887/0028-2448-2021-11-114-119
Key words: production management, wellwork, digital information systems
Authors: E.V. Yudin1, D.S. Vorobiev1, A.A. Slabeckiy2, D.V. Sun2, R.N. Studinski1, A.R. Valiahmetova3, M.V. Okunev4, S.G. Timonin2, A.Yu. Chervyak5, A.V. Grigoriev5 1Gazpromneft NTC LLC, RF, Saint-Petersburg 2Gazpromneft-Digital Solutions, RF, Saint-Petersburg 3Research and Educational Centre Gazpromneft-Polytech, RF, Saint-Petersburg 4Gazprom Neft PJSC, RF, Saint-Petersburg 5Gazpromneft-Noyabrskneftegas JSC, RF, Noyabrsk

The challenges related to transforming asset management business processes are caused not only by the deterioration in quality and oil reserves depletion, but also by a more significant level of assets digitalization. A huge amount of information from numerous sensors and measuring devices have begun to accumulate in corporate data warehouses, computing capacities and transmission channels have to process an increasing amount of data, new computational algorithms have been built, which opened up the possibility of implementing digital solutions that automatically process huge arrays of field information and data from service companies, systematize the information through a wide range of algorithms, and offer ready-made robust solutions that allow to achieve target production levels.

The purpose of this study is to demonstrate a comprehensive solution to managing the physical (production) potential (operational and technological) of a production company using modern digital information systems to automatically assess and select economic scenarios for field development targets, form a unified base of wellwork, as well as select first-priority scenarios, implement and monitor their performance, and determine critical deviations to adjust the scenarios and identify the best practices. The studied solution covers the entire production well stock, including injection and other wells. It consists in finding targeted opportunities to unlock the production potential of each well using various types of wellwork or their combinations. During the assessment process both wellwork available for implementation and locked-potential wells characterized by a set of constraints (geological, technological or economic) are identified. Therefore, in addition to a unified wellwork base, the solution also results in the following: a request for the search for new technologies, reengineering the field infrastructure, transformation of a field development system. And here we are talking about a targeted, well-by-well request, which is digitized.

References

1. Yudin E.V., Khabibullin R.A., Smirnov N.A., New approaches to gaslift and ESP well stock production management (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2021, no. 6, pp. 67–73, DOI: 10.24887/0028-2448-2021-6-67-73

2. Vogel J.V., Inflow performance relationships for solution gas drive wells, Journal of Petroleum Technology, 1968, V. 20, no. 1, pp. 83–92, DOI: 10.2118/1476-PA.

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

4. Babu D.K., Odeh A.S., Productivity of a horizontal well. Appendices A and B, SPE-18334-MS, 1988, https://doi.org/10.2118/18334-MS

5. Li H., Jia Z., Wei Z., A new method to predict performance of fractured horizontal wells, SPE-37051-MS, 1996, DOI: https://doi.org/10.2118/37051-MS

The challenges related to transforming asset management business processes are caused not only by the deterioration in quality and oil reserves depletion, but also by a more significant level of assets digitalization. A huge amount of information from numerous sensors and measuring devices have begun to accumulate in corporate data warehouses, computing capacities and transmission channels have to process an increasing amount of data, new computational algorithms have been built, which opened up the possibility of implementing digital solutions that automatically process huge arrays of field information and data from service companies, systematize the information through a wide range of algorithms, and offer ready-made robust solutions that allow to achieve target production levels.

The purpose of this study is to demonstrate a comprehensive solution to managing the physical (production) potential (operational and technological) of a production company using modern digital information systems to automatically assess and select economic scenarios for field development targets, form a unified base of wellwork, as well as select first-priority scenarios, implement and monitor their performance, and determine critical deviations to adjust the scenarios and identify the best practices. The studied solution covers the entire production well stock, including injection and other wells. It consists in finding targeted opportunities to unlock the production potential of each well using various types of wellwork or their combinations. During the assessment process both wellwork available for implementation and locked-potential wells characterized by a set of constraints (geological, technological or economic) are identified. Therefore, in addition to a unified wellwork base, the solution also results in the following: a request for the search for new technologies, reengineering the field infrastructure, transformation of a field development system. And here we are talking about a targeted, well-by-well request, which is digitized.

References

1. Yudin E.V., Khabibullin R.A., Smirnov N.A., New approaches to gaslift and ESP well stock production management (In Russ.), Neftyanoe khozyaystvo = Oil Industry, 2021, no. 6, pp. 67–73, DOI: 10.24887/0028-2448-2021-6-67-73

2. Vogel J.V., Inflow performance relationships for solution gas drive wells, Journal of Petroleum Technology, 1968, V. 20, no. 1, pp. 83–92, DOI: 10.2118/1476-PA.

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

4. Babu D.K., Odeh A.S., Productivity of a horizontal well. Appendices A and B, SPE-18334-MS, 1988, https://doi.org/10.2118/18334-MS

5. Li H., Jia Z., Wei Z., A new method to predict performance of fractured horizontal wells, SPE-37051-MS, 1996, DOI: https://doi.org/10.2118/37051-MS



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