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Matematicheskoe modelirovanie, 2023, Volume 35, Number 6, Pages 63–80
DOI: https://doi.org/10.20948/mm-2023-06-05
(Mi mm4471)
 

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

Increasing reliability of well interaction modeling for analysis of flooding system efficiency

A. N. Tyrsinab, S. V. Stepanovc, A. A. Ruchkinc, A. D. Beckmanc

a Ural Federal University, Yekaterinburg
b Scientific and engineering center "Reliability and resource of large systems and machines" Ural Branch of the Russian Academy of Sciences, Yekaterinburg
c Tyumen Oil Research Center, Tyumen
Full-text PDF (452 kB) Citations (1)
References:
Abstract: At present, to analyze the efficiency of the oil field flooding system, proxy models of the CRM family (capacitance-resistive model, capacitance-resistive models) are actively used - mathematical models of the material balance formulated in the framework of the electrodynamic analogy. However, with a large number of production and injection wells, the accuracy of modeling decreases due to the many local minima of the objective function. One of the reasons for this ambiguity of the solution is the lack of a priori information about which injection wells really affect a particular production well. The mask of mutual influence has been determined, which made it possible to significantly reduce the number of determined mutual influence coefficients. A computational algorithm is proposed in which, instead of solving a multi-extremal problem, a sequence of problems with a quadratic objective function and convex constraints on variables in the form of simple inequalities is solved. An example of approbation of the proposed method is given.
Keywords: mathematical modeling of field development, material balance model, CRM, well interference mask, entropy modeling, forecast.
Received: 31.01.2023
Revised: 28.03.2023
Accepted: 17.04.2023
English version:
Mathematical Models and Computer Simulations, 2023, Volume 15, Issue 6, Pages 1092–1103
DOI: https://doi.org/10.1134/S2070048223060170
Document Type: Article
Language: Russian
Citation: A. N. Tyrsin, S. V. Stepanov, A. A. Ruchkin, A. D. Beckman, “Increasing reliability of well interaction modeling for analysis of flooding system efficiency”, Matem. Mod., 35:6 (2023), 63–80; Math. Models Comput. Simul., 15:6 (2023), 1092–1103
Citation in format AMSBIB
\Bibitem{TyrSteRuc23}
\by A.~N.~Tyrsin, S.~V.~Stepanov, A.~A.~Ruchkin, A.~D.~Beckman
\paper Increasing reliability of well interaction modeling for analysis of flooding system efficiency
\jour Matem. Mod.
\yr 2023
\vol 35
\issue 6
\pages 63--80
\mathnet{http://mi.mathnet.ru/mm4471}
\crossref{https://doi.org/10.20948/mm-2023-06-05}
\transl
\jour Math. Models Comput. Simul.
\yr 2023
\vol 15
\issue 6
\pages 1092--1103
\crossref{https://doi.org/10.1134/S2070048223060170}
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  • https://www.mathnet.ru/eng/mm4471
  • https://www.mathnet.ru/eng/mm/v35/i6/p63
  • 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:142
    Full-text PDF :26
    References:31
    First page:6
     
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