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Article

Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China

by
Qingzhen Wang
1,2,
Zhihao Jia
3,*,
Linsong Cheng
3,
Binhui Li
1,2,
Pin Jia
3,
Yubo Lan
1,2,
Dapeng Dong
1,2 and
Fangchun Qu
1,2
1
Exploration and Development Research Institute of Daqing Oilfield Company Ltd., Daqing 163712, China
2
Heilongjiang Provincial Key Laboratory of Reservoir Physics & Fluid Mechanics in Porous Medium, Daqing 163712, China
3
College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 100083, China
*
Author to whom correspondence should be addressed.
Energies 2023, 16(14), 5424; https://doi.org/10.3390/en16145424
Submission received: 7 June 2023 / Revised: 6 July 2023 / Accepted: 13 July 2023 / Published: 17 July 2023
(This article belongs to the Special Issue Unconventional Oil and Gas Well Monitoring and Development)
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Abstract

The pore-throat radius of the shale oil reservoir is extremely small, and it is difficult to accurately obtain the absolute permeability and oil–water two-phase relative permeability of the actual oil reservoir through conventional core experiments. However, these parameters are very important for reservoir numerical simulation. In this paper, a method for characterizing flow parameters based on a pore network model that considers differential pressure flow and diffusion flow is proposed. Firstly, a digital core was reconstructed using focused ion beam scanning electron microscopy (FIB-SEM) from the Gulong shale reservoir in the Songliao Basin, China, and a pore network model was extracted. Secondly, quasi-static single-phase flow and two-phase flow equations considering diffusion were established in the pore network model. Finally, pore-throat parameters, absolute permeability, and oil–water two-phase permeability curves were calculated, respectively. The results show that the pore-throat distribution of the Gulong shale reservoir is mainly concentrated in the nanometer scale; the mean pore radius is 87 nm, the mean throat radius is 41 nm, and the mean coordination number is 3.97. The calculated permeability considering diffusion is 0.000124 mD, which is approximately twice the permeability calculated without considering diffusion. The irreducible water saturation of the Gulong shale reservoir is approximately 0.4, and the residual oil saturation is approximately 0.35. The method proposed in this paper can provide an important approach for characterizing the flow parameters of similar shale oil reservoirs.
Keywords: shale oil reservoir; flow parameters in porous media; FIB-SEM experiment; pore network model (PNM); quasi-static flow shale oil reservoir; flow parameters in porous media; FIB-SEM experiment; pore network model (PNM); quasi-static flow

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MDPI and ACS Style

Wang, Q.; Jia, Z.; Cheng, L.; Li, B.; Jia, P.; Lan, Y.; Dong, D.; Qu, F. Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China. Energies 2023, 16, 5424. https://doi.org/10.3390/en16145424

AMA Style

Wang Q, Jia Z, Cheng L, Li B, Jia P, Lan Y, Dong D, Qu F. Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China. Energies. 2023; 16(14):5424. https://doi.org/10.3390/en16145424

Chicago/Turabian Style

Wang, Qingzhen, Zhihao Jia, Linsong Cheng, Binhui Li, Pin Jia, Yubo Lan, Dapeng Dong, and Fangchun Qu. 2023. "Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China" Energies 16, no. 14: 5424. https://doi.org/10.3390/en16145424

APA Style

Wang, Q., Jia, Z., Cheng, L., Li, B., Jia, P., Lan, Y., Dong, D., & Qu, F. (2023). Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China. Energies, 16(14), 5424. https://doi.org/10.3390/en16145424

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