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Factoring Permeability Anisotropy in Complex Carbonate Reservoirs in Selecting an Optimum Field Development Strategy

Author

Listed:
  • Sergey Krivoshchekov

    (Petroleum Geology Department, Perm National Research Polytechnic University, Komsomolsky Prospect, 29, 614990 Perm, Russia)

  • Alexander Kochnev

    (Petroleum Geology Department, Perm National Research Polytechnic University, Komsomolsky Prospect, 29, 614990 Perm, Russia)

  • Nikita Kozyrev

    (Petroleum Geology Department, Perm National Research Polytechnic University, Komsomolsky Prospect, 29, 614990 Perm, Russia)

  • Evgeny Ozhgibesov

    (Petroleum Geology Department, Perm National Research Polytechnic University, Komsomolsky Prospect, 29, 614990 Perm, Russia)

Abstract

Current methods of oil and gas field development design rely on reservoir simulation modeling. A reservoir simulation model is a tool to reproduce field development processes and forecast production data. Reservoir permeability is one of the basic properties that determines fluid flow. From existing approaches, the porosity and permeability values should be consistent with petrophysical correlations obtained from core sample tests in the course of development of an absolute permeability cube in the reservoir simulation model. For carbonate reservoirs with complex pore space structure and fractures, the petrophysical correlations are often unstable. To factor in the fluid flow in a fractured rock system, dual-medium models are developed, allowing for matrix and fracture components. Yet in this case, the degree of uncertainty only increases with the introduction of a new parameter: a cross-flow index of fluid migration from matrix to fracture, which is only determined indirectly by results of fluid flow studies conducted in the initial development period, and therefore most often is adaptive. Clearly, for well-studied fields there is an extensive data pool drawn on research findings: core studies, well logging, well flow testing, flowmetry, special well-logging methods (FMI, Sonic Scanner, etc.); the dual-medium model development for such reservoirs is fairly well-founded and supported by actual studies. However, at the start of the field development, the data are incomplete, which renders qualitative dual-medium modeling impossible. This paper proposes an approach to factor in the target’s permeability anisotropy at an early development stage through the integration of well, core and 3D seismic surveys. The reservoir was classified into pore space types, to which different petrophysical correlations were assigned to develop a permeability array, and relative phase permeabilities were studied. The fluid flow model was history-matched with allowance for permeability anisotropy and rock types. Comparative calculations were conducted on the resulting model to select the optimum development strategy for the target.

Suggested Citation

  • Sergey Krivoshchekov & Alexander Kochnev & Nikita Kozyrev & Evgeny Ozhgibesov, 2022. "Factoring Permeability Anisotropy in Complex Carbonate Reservoirs in Selecting an Optimum Field Development Strategy," Energies, MDPI, vol. 15(23), pages 1-12, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8866-:d:982530
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    References listed on IDEAS

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    1. Ziqiang Wang & Hongkui Ge & Yun Wei & Yi Wang & Kerui Jia & Ning Xu & Yuankai Zhang & Shuheng Du, 2022. "Characterizing the Microscopic Anisotropic Permeabilities of Tight Oil Reservoirs Impacted by Heterogeneous Minerals," Energies, MDPI, vol. 15(18), pages 1-13, September.
    2. Xijun Ke & Yunxiang Zhao & Jiaqi Li & Zixi Guo & Yunwei Kang, 2022. "Production Simulation of Oil Reservoirs with Complex Fracture Network Using Numerical Simulation," Energies, MDPI, vol. 15(11), pages 1-17, May.
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    Cited by:

    1. Yuanlong Wei & Lingyun Zhao & Wei Liu & Xiong Zhang & Zhijun Guo & Zhangli Wu & Shenghui Yuan, 2022. "Coalbed Methane Reservoir Parameter Prediction and Sweet-Spot Comprehensive Evaluation Based on 3D Seismic Exploration: A Case Study in Western Guizhou Province, China," Energies, MDPI, vol. 16(1), pages 1-26, December.
    2. Sergey Krivoshchekov & Alexander Kochnev & Nikita Kozyrev & Andrey Botalov & Olga Kochneva & Evgeny Ozhgibesov, 2023. "Rock Typing Approaches for Effective Complex Carbonate Reservoir Characterization," Energies, MDPI, vol. 16(18), pages 1-19, September.

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