«Automation and Informatization of the fuel and energy complex»

A new method of refining capacitance-resistance models (CRM) forecasts for wells located in sub-gas zones

UDC: 622.276.4
DOI: -

Authors:

¹ Tyumen Petroleum Research Center, Tyumen, Russia

Keywords: capacitance-resistance models (CRM), material balance models, hydrodynamic modeling, sub-gas zones, gas-oil ratio

Annotation:

Capacitance-resistance modeling (CRM) is a modern instrument for solving a number of problems of geologic-field-analysis of oil deposits development that allows making more quick solutions as compared with commonly used 3D hydrodynamic models. One of the most important problems is oil production rates forecasting, because the efficiency of water-flooding control and oil field development in the whole dramatically depend on the quality of such forecasts. Besides well-known CRM approaches that take into account just water and oil production rates, there described some CRM modifications which allow accounting for gas impact as a separate phase. Such models specify connectivity factors estimation and such important parameters as compensation and share of wells productive injection. However, the use of such models for oil production rates specification is connected with a number of difficulties. The author of the article considers one of the possible methods of solving in practice the problem of oil production rates forecasts improvement by using capacitance-resistance models (CRM), taking into account gas production volumes.

Bibliography:

1. Problematika otsenki vzaimovliyaniya dobyvayushchikh i nagnetatel'nykh skvazhin na osnove matematicheskogo modelirovaniya / S.V. Stepanov, S.V. Sokolov, A.A. Ruchkin [i dr.] // Vestn. Tyumenskogo gos. un-ta. Fiz.-mat. modelirovanie. Neft', gaz, energetika. – 2018. – T. 4, № 3. – S. 146–164. – DOI: 10.21684/2411-7978-2018-4-3-146-164
2. Kanevskaya R.D., Ryzhova L.L. Problemy identifikatsii raznomasshtabnoy modeli plasta i kompleksnyy podkhod k ikh resheniyu // Avtomatizatsiya i informatizatsiya TEK. – 2024. – № 5(610). – S. 41–49.
3. A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting / R.W. de Holanda, E. Gildin, J.L. Jensen [et al.] // Energies. – 2018. – Vol. 11, Issue 12. – P. 3368. – DOI: 10.3390/en11123368
4. Novyy algoritm nakhozhdeniya optimal'nogo resheniya zadachi opredeleniya koeffitsientov vzaimovliyaniya skvazhin v ramkakh modeli CRM / A.D. Bekman, S.V. Stepanov, A.A. Ruchkin, D.V. Zelenin // Vestn. Tyumenskogo gos. un-ta. Fiz.-mat. modelirovanie. Neft', gaz, energetika. – 2019. – T. 5, № 3. – S. 164–185. – DOI: 10.21684/2411-7978-2019-5-3-164-185
5. Holanda R.W., Gildin E., Jensen J.L. Improved Waterflood Analysis Using the Capacitance-Resistance Model Within a Control Systems Framework // SPE Latin American and Caribbean Petroleum Engineering Conf., Quito, Ecuador, Nov. 18–20, 2015. – DOI: 10.2118/177106-MS
6. Sayarpour M. Development and Application of Capacitance-Resistive Models to Water/CO2 Floods: Thesis for PhD. – The University of Texas at Austin, 2008.
7. A Critical Review of Capacitance-Resistance Models / A. Alghamdi, M. Hiba, M. Aly, A. Abeeb // SPE Russian Petroleum Technology Conf., Virtual, Oct. 12–15, 2021. – DOI: 10.2118/206555-M
8. Stepanov S.V., Stepanov A.V., Eletskiy S.V. Chislenno-analiticheskiy podkhod k resheniyu zadachi operativnogo prognozirovaniya raboty neftyanoy skvazhiny v usloviyakh obrazovaniya gazovogo konusa // Neftepromyslovoe delo. – 2013. – № 2. – S. 53–58.
9. Uchet nelineynoy deformatsii pustotnogo prostranstva v CRM-modeli pri analize razrabotki gazovoy zalezhi na istoshchenie / I.V. Afanaskin, A.A. Kolevatov, A.A. Glushakov, P.V. Yalov // Geologiya, geofizika i razrab. neftyanykh i gazovykh mestorozhdeniy. – 2023. – № 2(374). – S. 59–65. – DOI: 10.33285/2413-5011-2023-2(374)-59-65
10. Prognozirovanie raboty skvazhin bazhenovskoy svity na osnove modifitsirovannoy modeli dinamicheskogo material'nogo balansa / I.V. Baykov, O.Yu. Kashnikov, R.I. Gatin [i dr.] // PRONEFT''. Professional'no o nefti. – 2021. – T. 6, № 4. – S. 106–115. – DOI: 10.51890/2587-7399-2021-6-4-106-115
11. Bekman A.D., Ruchkin A.A. Metod otsenki vzaimovliyaniya skvazhin podgazovoy zony na osnove modeli material'nogo balansa CRM // Vestn. Tyumenskogo gos. un-ta. Fiz.-mat. modelirovanie. Neft', gaz, energetika. – 2024. – T. 10, № 1(37). – S. 155–173. – DOI: 10.21684/2411-7978-2024-10-1-155-173