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New Method of Oil Reservoir Rock Heterogeneity Quantitative Estimation from X-ray MCT Data

Author

Listed:
  • Irena Viktorovna Yazynina

    (Department of Oil Field Development and Operation, Gubkin Russian State University of Oil and Gas (National Research University), 65 Leninsky Prospekt, 119991 Moscow, Russia)

  • Evgeny Vladimirovich Shelyago

    (Department of Oil Field Development and Operation, Gubkin Russian State University of Oil and Gas (National Research University), 65 Leninsky Prospekt, 119991 Moscow, Russia)

  • Andrey Andreevich Abrosimov

    (Department of Oil Field Development and Operation, Gubkin Russian State University of Oil and Gas (National Research University), 65 Leninsky Prospekt, 119991 Moscow, Russia)

  • Vladimir Stanislavovich Yakushev

    (Department of Gas and Gas Condensate Field Development and Operation, Gubkin Russian State University of Oil and Gas (National Research University), 65 Leninsky Prospekt, 119991 Moscow, Russia)

Abstract

This paper considers a new method for “pore scale” oil reservoir rock quantitative estimation. The method is based on core sample X-ray tomography data analysis and can be directly used to both classify rocks by heterogeneity and assess representativeness of the core material collection. The proposed heterogeneity criteria consider the heterogeneity of pore size and heterogeneity of pore arrangement in the sample void and can thus be related to the drainage effectiveness. The classification of rocks by heterogeneity at the pore scale is also proposed when choosing a reservoir engineering method and may help us to find formations that are similar at pore scale. We analyzed a set of reservoir rocks of different lithologies using the new method that considers only tomographic images and clearly distributes samples over the structure of their pore space.

Suggested Citation

  • Irena Viktorovna Yazynina & Evgeny Vladimirovich Shelyago & Andrey Andreevich Abrosimov & Vladimir Stanislavovich Yakushev, 2021. "New Method of Oil Reservoir Rock Heterogeneity Quantitative Estimation from X-ray MCT Data," Energies, MDPI, vol. 14(16), pages 1-8, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5103-:d:617356
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    Citations

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    Cited by:

    1. Qingshun Gong & Zhanguo Liu & Chao Zhu & Bo Wang & Yijie Jin & Zhenghao Shi & Lin Xie & Jin Wu, 2023. "Heterogeneity of a Sandy Conglomerate Reservoir in Qie12 Block, Qaidam Basin, Northwest China and Its Influence on Remaining Oil Distribution," Energies, MDPI, vol. 16(7), pages 1-19, March.
    2. Zhang, Junfeng & Yan, Detian & Zhou, Sandong & Wang, Hua & Deng, Yong & Liu, Entao & Song, Guangzeng, 2023. "Sedimentological and diagenetic effects on petrophysical characteristics and hydraulic flow units of Zhujiang sandstones in the Pearl River Mouth Basin, south China Sea," Energy, Elsevier, vol. 282(C).

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