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Matematicheskoe modelirovanie, 2022, Volume 34, Number 6, Pages 22–36
DOI: https://doi.org/10.20948/mm-2022-06-02
(Mi mm4381)
 

This article is cited in 2 scientific papers (total in 2 papers)

Accounting for stimulation treatments in modeling of oil reservoirs development using the material balance method

A. D. Bekman

Tyumen Petroleum Research Center LLC, RF, Tyumen
Full-text PDF (485 kB) Citations (2)
References:
Abstract: CRMP is a mathematical model based on material balance equation. It can be used for solving different practical oil reservoirs engineering problems. The important limitation of this model is related with the fact, that the model cannot take into account the information about various stimulated treatments that frequently are performed in oil wells. In this article a new modeling method is presented. The method includes a new CRMP model modification that is free of the limitation mentioned above and an algorithm for determining the parameters values of the modified model. The forecasts accuracy of the modified models is shown by the numerical experiments results.
Keywords: mathematical modeling of field development, proxy-modeling, material balance model, CRM, capacitance resistive model.
Received: 09.03.2022
Revised: 09.03.2022
Accepted: 18.04.2022
English version:
Mathematical Models and Computer Simulations, 2023, Volume 15, Issue 1, Pages 13–22
DOI: https://doi.org/10.1134/S2070048223010027
Document Type: Article
Language: Russian
Citation: A. D. Bekman, “Accounting for stimulation treatments in modeling of oil reservoirs development using the material balance method”, Mat. Model., 34:6 (2022), 22–36; Math. Models Comput. Simul., 15:1 (2023), 13–22
Citation in format AMSBIB
\Bibitem{Bae22}
\by A.~D.~Bekman
\paper Accounting for stimulation treatments in modeling of oil reservoirs development using the material balance method
\jour Mat. Model.
\yr 2022
\vol 34
\issue 6
\pages 22--36
\mathnet{http://mi.mathnet.ru/mm4381}
\crossref{https://doi.org/10.20948/mm-2022-06-02}
\transl
\jour Math. Models Comput. Simul.
\yr 2023
\vol 15
\issue 1
\pages 13--22
\crossref{https://doi.org/10.1134/S2070048223010027}
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  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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