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Fractal Characteristics of Pore-Throats Structure and Quality Evaluation of Carbonate Reservoirs in Eastern Margin of Pre-Caspian Basin

Author

Listed:
  • Xing Zeng

    (Research Institute of Petroleum Exploration & Development, China National Petroleum Corporation, Beijing 100089, China)

  • Weiqiang Li

    (PetroChina Hangzhou Research Institute of Geology, Hangzhou 310023, China)

  • Jue Hou

    (Research Institute of Petroleum Exploration & Development, China National Petroleum Corporation, Beijing 100089, China)

  • Wenqi Zhao

    (Research Institute of Petroleum Exploration & Development, China National Petroleum Corporation, Beijing 100089, China)

  • Yunyang Liu

    (Research Institute of Petroleum Exploration & Development, China National Petroleum Corporation, Beijing 100089, China)

  • Yongbo Kang

    (China’s Oil & Gas Exploration and Development Company, Beijing 100089, China)

Abstract

The Carboniferous reservoir KT-II layer in the Eastern margin of the Pre-Caspian Basin was formed in the open platform sedimentary environment and marked by a complicated pore-throats structure. Understanding the main controls on the carbonate reservoir quality is of great significance for reservoir classification and a relevant production prediction. This study focuses on revealing reservoir pore-throats structure’s fractal characteristics by analyzing the mercury intrusion capillary pressure (MICP), with the integration of the pore-throats radius’ distribution data. The relationship between fractal dimensions and reservoir parameters such as physical properties, mercury median saturation pressure (Pc50) and the proportion of large-size (radius > 0.1 μm) pores demonstrate that the lower fractal dimension corresponds not only to core plug samples with higher permeability, but also to lower Pc50 and a higher proportion of large pore-throats. Three classes of carbonate reservoir with different qualities were defined according to their fractal dimensions, petrophysical properties and photomicrograph features, et al. Combined with flow profiles from Production Log Tool tests, the relationship between the carbonate reservoir type and production behavior was revealed, thus providing suggestions on the middle and late stage of the water flooding production adjustment strategy. This work provides a typical case study for the further comprehensive evaluation and classification of a carbonate reservoir and it is quite meaningful for production efficiency optimization.

Suggested Citation

  • Xing Zeng & Weiqiang Li & Jue Hou & Wenqi Zhao & Yunyang Liu & Yongbo Kang, 2022. "Fractal Characteristics of Pore-Throats Structure and Quality Evaluation of Carbonate Reservoirs in Eastern Margin of Pre-Caspian Basin," Energies, MDPI, vol. 15(17), pages 1-13, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6357-:d:902975
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    References listed on IDEAS

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    1. Penghui Su & Zhaohui Xia & Ping Wang & Wei Ding & Yunpeng Hu & Wenqi Zhang & Yujie Peng, 2019. "Fractal and Multifractal Analysis of Pore Size Distribution in Low Permeability Reservoirs Based on Mercury Intrusion Porosimetry," Energies, MDPI, vol. 12(7), pages 1-15, April.
    2. Di Gao & Meng Li & Baoyu Wang & Bin Hu & Jianguo Liu, 2017. "Characteristics of Pore Structure and Fractal Dimension of Isometamorphic Anthracite," Energies, MDPI, vol. 10(11), pages 1-11, November.
    3. Yutao Li & Yixin Zhao & Yaodong Jiang & Bo Zhang & Honghua Song & Bin Liu, 2020. "Characteristics of Pore and Fracture of Coal with Bursting Proneness Based on DIC and Fractal Theory," Energies, MDPI, vol. 13(20), pages 1-19, October.
    4. Xiaohong Li & Zhiyong Gao & Siyi Fang & Chao Ren & Kun Yang & Fuyong Wang, 2019. "Fractal Characterization of Nanopore Structure in Shale, Tight Sandstone and Mudstone from the Ordos Basin of China Using Nitrogen Adsorption," Energies, MDPI, vol. 12(4), pages 1-18, February.
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    Cited by:

    1. Jue Hou & Lun Zhao & Xing Zeng & Wenqi Zhao & Yefei Chen & Jianxin Li & Shuqin Wang & Jincai Wang & Heng Song, 2022. "Characterization and Evaluation of Carbonate Reservoir Pore Structure Based on Machine Learning," Energies, MDPI, vol. 15(19), pages 1-18, September.
    2. Changhai Li & Lun Zhao & Weiqiang Li & Wenqi Zhao & Meng Sun & Yu Zhang & Tianyu Zheng, 2023. "Formation Timing and Features of Stylolites and Controlling Factors for the Second-Period Stylolites in the Carboniferous KT-I Formation of NT Oilfield," Energies, MDPI, vol. 16(6), pages 1-20, March.

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