НЕФТЯНАЯ ПРОВИНЦИЯ

Abstract

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​The paper describes mathematical and statistical research methods based on the comprehensive analysis of field data as well as the value of such methods for characterization of flow connectivity. The definitions of rank correlation and correlation coefficient are presented, Spearman’s and Kendall’s rank correlation methods, application and computational algorithms are considered in more detail. An example of calculating Spearman’s and Kendall’s rank correlations for real field wells is provided.

Key words:

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high-viscosity oil, well production testing, waterflood system, connectivity, natural fracture network, carbonate reservoir, Spearman's rank correlation, Kendall’s rank correlation

References

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Authors

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N.A. Simonov, Bachelor, Employee of LUKOIL-PERM LLC, Masters Program by Perm National Research Polytechnic University

62, Lenin st., Perm, 614990, Russian Federation

E-mail: Khrystal74@mail.ru

 

V.A. Mordvinov, PhD, Associate Professor of the Department of «Oil and Gas Technologies», Perm National Research Polytechnic University

614990, Perm, Komsomolsky Prospekt, 29

E-mail: mva44@bk.ru

For citation:

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N.A. Simonov, V.A. Mordvinov Ocenka jeffektivnosti sistemy zavodnenija karbonatnyh kollektorov s vysokovjazkoj plastovoj neft'ju Volgo-Ural'skoj neftegazonosnoj provincii [Evaluation of Waterflooding Performance in Carbonate Reservoirs with High-Viscosity Oil in the Volga-Ural Petroleum Province]. Neftyanaya Provintsiya, No. 1(29), 2022. pp. 209-222. DOI https://doi.org/10.25689/NP.2022.1.209-222 (in Russian)