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Classification and Evaluation of Shale Oil Reservoirs of the Chang 7 1-2 Sub-Member in the Longdong Area

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  • Heting Gao

    (Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
    College of Resources and Environment, Yangtze University, Wuhan 430100, China)

  • Xinping Zhou

    (Research Institute of Exploration and Development, PetroChina Changqing Oilfield Company, Xi’an 710018, China)

  • Zhigang Wen

    (Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
    College of Resources and Environment, Yangtze University, Wuhan 430100, China)

  • Wen Guo

    (Research Institute of Exploration and Development, PetroChina Changqing Oilfield Company, Xi’an 710018, China)

  • Weichao Tian

    (Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
    College of Resources and Environment, Yangtze University, Wuhan 430100, China)

  • Shixiang Li

    (Research Institute of Exploration and Development, PetroChina Changqing Oilfield Company, Xi’an 710018, China)

  • Yunpeng Fan

    (Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
    College of Resources and Environment, Yangtze University, Wuhan 430100, China)

  • Yushu Luo

    (Hubei Key Laboratory of Petroleum Geochemistry and Environment, Yangtze University, Wuhan 430100, China
    College of Resources and Environment, Yangtze University, Wuhan 430100, China)

Abstract

Establishing a suitable classification and evaluation scheme is crucial for sweet spot prediction and efficient development of shale oil in the Chang 7 1-2 sub-member of the Longdong area. In this paper, a series of experiments, such as casting thin sections (CTS), scanning electron microscopy (SEM), low-temperature nitrogen adsorption (LTNA), high-pressure mercury intrusion porosimetry (HMIP), and nuclear magnetic resonance (NMR), were integrated to classify the pore throats and shale oil reservoirs in the study area. Moreover, the pore structure characteristics of different types of reservoirs and their contributions to productivity were revealed. The results show that the pore-throat system can be divided into four parts: large pore throats (>0.2 μm), medium pore throats (0.08~0.2 μm), small pore throats (0.03~0.08 μm), and micropore throats (<0.03 μm). Based on the development degree of various pore throats, the reservoir is divided into four types: type I (Φ ≥ 10%, K > 0.1 mD), type II (Φ ≥ 8%, 0.05 mD < K < 0.1 mD), type III (Φ ≥ 5%, 0.02 mD < K < 0.05 mD) and type IV (Φ < 5% or K < 0.02 mD). From type I to IV reservoirs, the proportion of dissolved pores and intergranular pores gradually decreases, and the proportion of intercrystalline pores increases. The proportion of large pore throats gradually decreases, and the proportions of medium pore throats and small pore throats increase initially and then decrease, while the proportion of micropore throats increases successively. The NMR pore size distribution changes from the right peak to the left peak. The developed section of the type I reservoir corresponds to the oil layer, and the developed section of the type I and II reservoirs corresponds to the poor oil layer. In contrast, the developed section of the type III and IV reservoirs corresponds to the dry layer. The daily production from single wells is primarily attributable to type I and II reservoirs.

Suggested Citation

  • Heting Gao & Xinping Zhou & Zhigang Wen & Wen Guo & Weichao Tian & Shixiang Li & Yunpeng Fan & Yushu Luo, 2022. "Classification and Evaluation of Shale Oil Reservoirs of the Chang 7 1-2 Sub-Member in the Longdong Area," Energies, MDPI, vol. 15(15), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5364-:d:870500
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    References listed on IDEAS

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    1. Douglas B. Reynolds & Maduabuchi Pascal Umekwe, 2019. "Shale-Oil Development Prospects: The Role of Shale-Gas in Developing Shale-Oil," Energies, MDPI, vol. 12(17), pages 1-21, August.
    2. Jon R. Kettenring, 2006. "The Practice of Cluster Analysis," Journal of Classification, Springer;The Classification Society, vol. 23(1), pages 3-30, June.
    3. Yuming Liu & Bo Shen & Zhiqiang Yang & Peiqiang Zhao, 2018. "Pore Structure Characterization and the Controlling Factors of the Bakken Formation," Energies, MDPI, vol. 11(11), pages 1-15, October.
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    1. Ting’an Bai & Feng Yang & Huan Wang & He Zheng, 2022. "Adhesion Forces of Shale Oil Droplet on Mica Surface with Different Roughness: An Experimental Investigation Using Atomic Force Microscopy," Energies, MDPI, vol. 15(17), pages 1-15, September.

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