НЕФТЯНАЯ ПРОВИНЦИЯ

Abstract

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A new CRM-modeling-based approach to identification of performance parameters for reservoir pressure maintenance systems is proposed to meet the challenges associated with the analysis of waterflood patterns for mature field development. This approach relies on approximation of well interference based on field data on production rates, well injectivities and bottomhole pressures. Due to relative simplicity of this approach, history matching is not time consuming and ensures adequate accuracy of the forecasts.

The proposed CRM-modeling-based method for analysis of waterflood performance comprises evaluation of unproductive injection and performance of injection wells, estimation of current injection ratio by grid blocks and individual production wells.

Key words:

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waterflood pattern, formation pressure maintenance, CRM, well interference, unproductive injection, injection ratio, daily oil production rate, impermeable barrier

References

 

1. Stepanov S.V. Sokolov S.V., Ruchkin A.A., Stepanov A.V., Knyazev А.V., Korytov А.V. Problematika otsenki vzaimovliyaniya dobyvayuschikh i nagnetatel'nykh skvazhin na osnove matematicheskogo modelirovaniya [Evaluation of interference of production and injection wells based on mathematical modeling]. Bulletin of the Tyumen State University. Physical and mathematical modeling. Oil, gas, energy, 2018, Vol. 4, No. 3, 146-164 pp.

2. Sayarpour, M. Development and Application of Capacitance-Resistive Models to Water/CO2 Floods. Ph.D. Dissertation, University of Texas, Austin, TX, USA, 2008.

3. Yousef A.A., Gentil P.H., Jensen J.L., Lake L.W. 2005. “A Capacitance Model to Infer Interwell Connectivity From Production and Injection Rate Fluctuations”. SPE Annual Technical Conference and Exhibition, 9-12 October, Dallas, Texas

4. Holanda R.W., Gildin E., Jensen J.L., Lake L.W., Kabir C. S. 2018. “A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting”. Energies, 2018. URL: https://www.mdpi.com/1996-1073/11/12/3368/html

5. Zelenin D.V., Stepanov S.V., Bekman A.D., Ruchkin A.A. Issledovanie mekhanizmov ucheta vzaimovliyaniya skvazhin pri ispol'zovanii razlichnyh metodov matematicheskogo modelirovaniya [Study of well interference mechanisms using different methods of mathematical modeling] Neftepromyslovoye delo, 2019, No. 12, 39-45 pp.

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Authors

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Т.А. Pospelova, PhD, Deputy General Director, LLC «Tyumen Petroleum Research Center»

79/1, Osipenko st., Tyumen, 625002, Russian Federation

E-mail: tapospelova@tnnc.rosneft.ru

 

D.V. Zelenin, Chief Specialist, LLC «Tyumen Petroleum Research Center»

79/1, Osipenko st., Tyumen, 625002, Russian Federation

E-mail: dvzelenin@rosneft.ru

 

А.А. Ruchkin, PhD, Expert, LLC «Tyumen Petroleum Research Center»

79/1, Osipenko st., Tyumen, 625002, Russian Federation

E-mail: aaruchkin@tnnc.rosneft.ru

 

A.D. Bekman, PhD, Senior Manager, LLC «Tyumen Petroleum Research Center»

79/1, Osipenko st., Tyumen, 625002, Russian Federation

E-mail: adbekman@rosneft.ru

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For citation:

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Т.А. Pospelova, D.V. Zelenin, А.А. Ruchkin, A.D. Bekman Primenenie CRM modeli dlya analiza effektivnosti sistemy zavodneniya [Application of CRM models for analysis of waterflood performance]. Neftyanaya Provintsiya, No. 1(21), 2020. pp. 97-108. DOI https://doi.org/10.25689/NP.2020.1.97-108 (in Russian)