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Characterization and Consecutive Prediction of Pore Structures in Tight Oil Reservoirs

Author

Listed:
  • Zhaohui Xu

    (College of Geosciences, China University of Petroleum, Beijing 102249, China)

  • Peiqiang Zhao

    (Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China)

  • Zhenlin Wang

    (Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Karamay 834000, China)

  • Mehdi Ostadhassan

    (Petroleum Engineering Department, University of North Dakota, Grand Forks, ND 58202, USA)

  • Zhonghua Pan

    (Wuhan Geomatic Institute, Wuhan 430022, China)

Abstract

The Lucaogou Formation in Jimuaser Sag of Junggar Basin, China is a typical tight oil reservoir with upper and lower sweet spots. However, the pore structure of this formation has not been studied thoroughly due to limited core analysis data. In this paper, the pore structures of the Lucaogou Formation were characterized, and a new method applicable to oil-wet rocks was verified and used to consecutively predict pore structures by nuclear magnetic resonance (NMR) logs. To do so, a set of experiments including X-ray diffraction (XRD), mercury intrusion capillary pressure (MICP), scanning electron microscopy (SEM) and NMR measurements were conducted. First, SEM images showed that pore types are mainly intragranular dissolution, intergranular dissolution, micro fractures and clay pores. Then, capillary pressure curves were divided into three types (I, II and III). The pores associated with type I and III are mainly dissolution and clay pores, respectively. Next, the new method was verified by “as received” and water-saturated condition T 2 distributions of two samples. Finally, consecutive prediction in fourteen wells demonstrated that the pores of this formation are dominated by nano-scale pores and the pore structure of the lower sweet spot reservoir is more complicated than that in upper sweet spot reservoir.

Suggested Citation

  • Zhaohui Xu & Peiqiang Zhao & Zhenlin Wang & Mehdi Ostadhassan & Zhonghua Pan, 2018. "Characterization and Consecutive Prediction of Pore Structures in Tight Oil Reservoirs," Energies, MDPI, vol. 11(10), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:10:p:2705-:d:174809
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    Citations

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    Cited by:

    1. Shiming Zhang & Chunlei Yu & Junwei Su & Dengke Liu, 2022. "Splicing Method of Micro-Nano-Scale Pore Radius Distribution in Tight Sandstone Reservoir," Energies, MDPI, vol. 15(5), pages 1-10, February.
    2. Jianmeng Sun & Ping Feng & Peng Chi & Weichao Yan, 2022. "Microscopic Conductivity Mechanism and Saturation Evaluation of Tight Sandstone Reservoirs: A Case Study from Bonan Oilfield, China," Energies, MDPI, vol. 15(4), pages 1-27, February.
    3. Pengfei Zhao & Xiangyu Fan & Qiangui Zhang & Xiang Wang & Mingming Zhang & Jiawei Ran & Da Lv & Jinhua Liu & Juntian Shuai & Hao Wu, 2019. "The Effect of Hydration on Pores of Shale Oil Reservoirs in the Third Submember of the Triassic Chang 7 Member in Southern Ordos Basin," Energies, MDPI, vol. 12(20), pages 1-20, October.
    4. Yuan Zhang & Yuan Di & Yang Shi & Jinghong Hu, 2018. "Cyclic CH 4 Injection for Enhanced Oil Recovery in the Eagle Ford Shale Reservoirs," Energies, MDPI, vol. 11(11), pages 1-15, November.
    5. Feng Sha & Lizhi Xiao & Zhiqiang Mao & Chen Jia, 2018. "Petrophysical Characterization and Fractal Analysis of Carbonate Reservoirs of the Eastern Margin of the Pre-Caspian Basin," Energies, MDPI, vol. 12(1), pages 1-17, December.
    6. Jianchao Cai & Zhien Zhang & Qinjun Kang & Harpreet Singh, 2019. "Recent Advances in Flow and Transport Properties of Unconventional Reservoirs," Energies, MDPI, vol. 12(10), pages 1-5, May.

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