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Characterization of Pore Structures and Implications for Flow Transport Property of Tight Reservoirs: A Case Study of the Lucaogou Formation, Jimsar Sag, Junggar Basin, Northwestern China

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  • Yang Su

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China)

  • Ming Zha

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China)

  • Keyu Liu

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China
    Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China)

  • Xiujian Ding

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China)

  • Jiangxiu Qu

    (School of Geosciences, China University of Petroleum, Qingdao 266580, China)

  • Jiehua Jin

    (Geophysical Research Institute, Shengli Oilfield Company of SINOPEC, Dongying 257022, China)

Abstract

Quantitate characterization of pore structures is fundamental to elucidate fluid flow in the porous media. Pore structures of the Lucaogou Formation in the Jimsar Sag were investigated using petrography, mercury intrusion capillary porosimetry (MICP) and X-ray computed tomography (X-ray μ-CT). MICP analyses demonstrate that the pore topological structure is characterized by segmented fractal dimensions. Fractal dimension of small pores (r < R apex ) ranges from 2.05 to 2.37, whereas fractal dimension of large pores (r > R apex ) varies from 2.91 to 5.44, indicating that fractal theory is inappropriate for the topological characterization of large pores using MICP. Pore volume of tight reservoirs ranges over nine orders of magnitude (10 −1 –10 8 μm 3 ), which follows a power-law distribution. Fractal dimensions of pores larger than a lower bound vary from 1.66 to 2.32. Their consistence with MICP results suggests that it is an appropriate indicator for the complex and heterogeneous pore network. Larger connected pores are primary conductive pathways regardless of lithologies. The storage capacity depends largely on pore complexity and heterogeneity, which is negatively correlated with fractal dimension of pore network. The less heterogeneous the pore network is, the higher storage capability it would have; however, the effect of pore network heterogeneity on the transport capability is much more complicated.

Suggested Citation

  • Yang Su & Ming Zha & Keyu Liu & Xiujian Ding & Jiangxiu Qu & Jiehua Jin, 2021. "Characterization of Pore Structures and Implications for Flow Transport Property of Tight Reservoirs: A Case Study of the Lucaogou Formation, Jimsar Sag, Junggar Basin, Northwestern China," Energies, MDPI, vol. 14(5), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1251-:d:505494
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    References listed on IDEAS

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    1. Saif, Tarik & Lin, Qingyang & Butcher, Alan R. & Bijeljic, Branko & Blunt, Martin J., 2017. "Multi-scale multi-dimensional microstructure imaging of oil shale pyrolysis using X-ray micro-tomography, automated ultra-high resolution SEM, MAPS Mineralogy and FIB-SEM," Applied Energy, Elsevier, vol. 202(C), pages 628-647.
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    Cited by:

    1. Wenjun He & Yin Liu & Dongxue Wang & Dewen Lei & Guangdi Liu & Gang Gao & Liliang Huang & Yanping Qi, 2022. "Geochemical Characteristics and Process of Hydrocarbon Generation Evolution of the Lucaogou Formation Shale, Jimsar Depression, Junggar Basin," Energies, MDPI, vol. 15(7), pages 1-19, March.

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