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

Qingzhen Wang, Zhihao Jia (), Linsong Cheng, Binhui Li, Pin Jia, Yubo Lan, Dapeng Dong and Fangchun Qu
Additional contact information
Qingzhen Wang: Exploration and Development Research Institute of Daqing Oilfield Company Ltd., Daqing 163712, China
Zhihao Jia: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 100083, China
Linsong Cheng: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 100083, China
Binhui Li: Exploration and Development Research Institute of Daqing Oilfield Company Ltd., Daqing 163712, China
Pin Jia: College of Petroleum Engineering, China University of Petroleum (Beijing), Beijing 100083, China
Yubo Lan: Exploration and Development Research Institute of Daqing Oilfield Company Ltd., Daqing 163712, China
Dapeng Dong: Exploration and Development Research Institute of Daqing Oilfield Company Ltd., Daqing 163712, China
Fangchun Qu: Exploration and Development Research Institute of Daqing Oilfield Company Ltd., Daqing 163712, China

Energies, 2023, vol. 16, issue 14, 1-14

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/14/5424/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/14/5424/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:14:p:5424-:d:1195750

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().