НЕФТЯНАЯ ПРОВИНЦИЯ

Abstract

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The main cube of a 3D geological model is a lithology cube which determines reservoir distribution pattern, connectivity and number of reservoir layers, and layer correlation. Two approaches are used for construction of lithology cubes. These are deterministic and stochastic approaches. The authors analyzed Bashkirian and Tournaisian sediments and selected the optimal method for reservoir distribution with combination of various trends. For Bashkirian deposits, the authors selected the cube constructed using “facies indicators” method and 3D trend of continuous reservoir parameter. For Tournasian reservoirs, a cube constructed using "parameter interpolation” method was selected as most accurately reflecting the athors’ understanding of the Tournasian stage geological structure. A conclusion was made that the best results are obtained from combination of different algorithms both during model construction and in the course of history matching of 3D geological model with reserves estimation data.

Key words:

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modeling; lithology cube; deterministic; stochastic; combination

References

 

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Authors

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Izitsin A.M., Engineer, Geological Prospecting and Exploration Department, TatNIPIneft Institute – PJSC TATNEFT, Bugulma, Republic of Tatarstan, Russia E-mail: izitcinam@tatnipi.ru

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Zelenovskaya A.S., Engineer, Geological Prospecting and Exploration Department, TatNIPIneft Institute– PJSC TATNEFT, Bugulma, Republic of Tatarstan, Russia E-mail: zelenovskaya_as@tatnipi.ru

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​Panina S.A., Engineer, Geological Prospecting and Exploration Department, TatNIPIneft Institute – PJSC TATNEFT, Bugulma, Republic of Tatarstan, Russia E-mail: ssofia@tatnipi.ru

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For citation:

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А.М. Izitsin, А.S. Zelenovskaya, S.А. Panina Vybor geometrizacii setki 3d geologicheskoj modeli i sravnenie metodov raspredelenija kollektora v karbonatnyh zalezhah [Selection of grid geometrization of a 3d geological model and comparison of reservoir distribution methods in carbonate deposits]. Neftyanaya Provintsiya, No. 1(13), 2018. pp. 69-77. https://doi.org/10.25689/NP.2018.2.69-77 (in Russian)