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Matematicheskoe modelirovanie, 2022, Volume 34, Number 2, Pages 3–16
DOI: https://doi.org/10.20948/mm-2022-02-01
(Mi mm4350)
 

This article is cited in 1 scientific paper (total in 1 paper)

Development of the material balance model for consideration of wells productivity index changes

N. O. Shevtsov, S. V. Stepanov

Tyumen Petroleum Research Center LLC, RF, Tyumen
Full-text PDF (498 kB) Citations (1)
References:
Abstract: The material balance model in the form of an analytical capacitance resistive model (CRM) is increasingly being used for mathematical modeling of oil field development. The original formulation of the CRM model lacks the capacity to account changes in productivity index of producing wells. This reduces the applicability of this model for group of wells with operations on productivity intensifying. The article contains the modification of the CRM model which allows to take into account non-stationarity of the productivity index. The test calculations showed that the modified CRM model allows to reproduce dynamics of well production rate with significant changes of the productivity index.
Keywords: mathematical modeling of field development, proxy-modeling, material balance model, CRM, capacitance resistive model.
Received: 30.08.2021
Revised: 01.12.2021
Accepted: 06.12.2021
English version:
Mathematical Models and Computer Simulations, 2022, Volume 14, Issue 5, Pages 691–699
DOI: https://doi.org/10.1134/S2070048222050131
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: N. O. Shevtsov, S. V. Stepanov, “Development of the material balance model for consideration of wells productivity index changes”, Matem. Mod., 34:2 (2022), 3–16; Math. Models Comput. Simul., 14:5 (2022), 691–699
Citation in format AMSBIB
\Bibitem{SheSte22}
\by N.~O.~Shevtsov, S.~V.~Stepanov
\paper Development of the material balance model for consideration of wells productivity index changes
\jour Matem. Mod.
\yr 2022
\vol 34
\issue 2
\pages 3--16
\mathnet{http://mi.mathnet.ru/mm4350}
\crossref{https://doi.org/10.20948/mm-2022-02-01}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=4375126}
\transl
\jour Math. Models Comput. Simul.
\yr 2022
\vol 14
\issue 5
\pages 691--699
\crossref{https://doi.org/10.1134/S2070048222050131}
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  • https://www.mathnet.ru/eng/mm4350
  • https://www.mathnet.ru/eng/mm/v34/i2/p3
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Математическое моделирование
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    Abstract page:335
    Full-text PDF :127
    References:50
    First page:38
     
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