Research on Mathematical Model of Shale Oil Reservoir Flow

Lanlan Yao, Zhengming Yang, Haibo Li (), Meng Du, Tiyao Zhou and Yapu Zhang
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Lanlan Yao: College of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China
Zhengming Yang: Institute of Porous Flow and Fluid Mechanics, Langfang 065007, China
Haibo Li: Institute of Porous Flow and Fluid Mechanics, Langfang 065007, China
Meng Du: College of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China
Tiyao Zhou: Institute of Porous Flow and Fluid Mechanics, Langfang 065007, China
Yapu Zhang: Institute of Porous Flow and Fluid Mechanics, Langfang 065007, China

Energies, 2023, vol. 16, issue 14, 1-12

Abstract: There are complex pore structures in shale reservoirs, and the nonlinear flow characteristics of shale reservoirs are complicated by stress sensitivity and boundary layer effects. In this research, a new flow mathematical model was established based on capillary model, stress sensitivity and boundary layer effect. The model was verified by the experimental results of Jilin shale oil reservoir, and the influencing factors of flow characteristics were analyzed. The results show that the new shale oil flow model has good fitting and high reliability with the experimental results. The boundary layer effect and stress sensitivity are the main factors affecting the seepage characteristics. With the increase in the pressure gradient, the influence of the boundary layer effect on the flow is gradually enhanced, and the influence of the stress sensitivity on the flow is gradually weakened. At the same time, this study developed a method for the evaluation of effective displacement distance of shale oil reservoir with CO 2 injection through the limited injection-production well spacing method, and obtained the nonlinear flow curve of displacement distance with reservoir permeability under different injection and production pressure difference. This research deeply studies the flow characteristics of shale oil reservoir and provides a theoretical basis for the enhanced oil recovery of shale oil with CO 2 injection.

Keywords: shale oil; stress sensitive; boundary layer; flow model; displacement distance (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
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