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Matematicheskoe modelirovanie, 2023, Volume 35, Number 5, Pages 47–61
DOI: https://doi.org/10.20948/mm-2023-05-04
(Mi mm4462)
 

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

The new CRM-like two-phase proxy-model for the process of oil field development

A. D. Bekman

Tyumen Petroleum Research Center LLC
Full-text PDF (433 kB) Citations (1)
References:
Abstract: CRM models are a group of simplified mathematical models (proxy-models) based on the material balance equation, that allow solving various practical problems that arise during the development of oil fields. An important limitation of traditional CRM models, which significantly narrows the range of tasks to be solved, is the inability to account for changes in the water saturation of rocks, which limits their applicability only to periods with high water content of well products. This article presents a new author's CRM-like model that does not have this disadvantage. An algorithm for adapting such a model is also proposed. The results of numerical experiments on synthetic hydrodynamic models demonstrating better quality of solutions compared to the CRMP model are presented.
Keywords: mathematical modeling of field development, proxy-modeling, material balance model, CRM, capacitance resistive model.
Received: 12.01.2023
Revised: 12.01.2023
Accepted: 06.03.2023
English version:
Mathematical Models and Computer Simulations, 2023, Volume 15, Issue 6, Pages 999–1007
DOI: https://doi.org/10.1134/S2070048223060078
Document Type: Article
Language: Russian
Citation: A. D. Bekman, “The new CRM-like two-phase proxy-model for the process of oil field development”, Matem. Mod., 35:5 (2023), 47–61; Math. Models Comput. Simul., 15:6 (2023), 999–1007
Citation in format AMSBIB
\Bibitem{Bae23}
\by A.~D.~Bekman
\paper The new CRM-like two-phase proxy-model for the process of oil field development
\jour Matem. Mod.
\yr 2023
\vol 35
\issue 5
\pages 47--61
\mathnet{http://mi.mathnet.ru/mm4462}
\crossref{https://doi.org/10.20948/mm-2023-05-04}
\transl
\jour Math. Models Comput. Simul.
\yr 2023
\vol 15
\issue 6
\pages 999--1007
\crossref{https://doi.org/10.1134/S2070048223060078}
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  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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