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High-Precision Flow Numerical Simulation and Productivity Evaluation of Shale Oil Considering Stress Sensitivity

Mingjing Lu1,2,*, Qin Qian1, Anhai Zhong1, Feng Yang1, Wenjun He1, Min Li1

1 Petroleum Engineering Technology Research Institute of Shengli Oilfield, SINOPEC, Dongying, 257000, China
2 Postdoctoral Scientific Research Working Station of Shengli Oilfield, SINOPEC, Dongying, 257000, China

* Corresponding Author: Mingjing Lu. Email: email

(This article belongs to the Special Issue: Fluid and Thermal Dynamics in the Development of Unconventional Resources II)

Fluid Dynamics & Materials Processing 2024, 20(10), 2281-2300. https://doi.org/10.32604/fdmp.2024.051594

Abstract

Continental shale oil reservoirs, characterized by numerous bedding planes and micro-nano scale pores, feature significantly higher stress sensitivity compared to other types of reservoirs. However, research on suitable stress sensitivity characterization models is still limited. In this study, three commonly used stress sensitivity models for shale oil reservoirs were considered, and experiments on representative core samples were conducted. By fitting and comparing the data, the “exponential model” was identified as a characterization model that accurately represents stress sensitivity in continental shale oil reservoirs. To validate the accuracy of the model, a two-phase seepage mathematical model for shale oil reservoirs coupled with the exponential model was introduced. The model was discretely solved using the finite volume method, and its accuracy was verified through the commercial simulator CMG. The study evaluated the productivity of a typical horizontal well under different engineering, geological, and fracture conditions. The results indicate that considering stress sensitivity leads to a 13.57% reduction in production for the same matrix permeability. Additionally, as the fracture half-length and the number of fractures increase, and the bottomhole flowing pressure decreases, the reservoir stress sensitivity becomes higher.

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APA Style
Lu, M., Qian, Q., Zhong, A., Yang, F., He, W. et al. (2024). High-precision flow numerical simulation and productivity evaluation of shale oil considering stress sensitivity. Fluid Dynamics & Materials Processing, 20(10), 2281-2300. https://doi.org/10.32604/fdmp.2024.051594
Vancouver Style
Lu M, Qian Q, Zhong A, Yang F, He W, Li M. High-precision flow numerical simulation and productivity evaluation of shale oil considering stress sensitivity. Fluid Dyn Mater Proc. 2024;20(10):2281-2300 https://doi.org/10.32604/fdmp.2024.051594
IEEE Style
M. Lu, Q. Qian, A. Zhong, F. Yang, W. He, and M. Li "High-Precision Flow Numerical Simulation and Productivity Evaluation of Shale Oil Considering Stress Sensitivity," Fluid Dyn. Mater. Proc., vol. 20, no. 10, pp. 2281-2300. 2024. https://doi.org/10.32604/fdmp.2024.051594



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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