基于随机孔隙网络模拟的渗透率应力敏感机理

doi:10.13278/j.cnki.jjuese.201702306

Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (2): 626-632.doi: 10.13278/j.cnki.jjuese.201702306

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Mechanism of Permeability Stress Sensitivity Based on Random Pore Network Simulation

Yang Jianping^1,2, Liu Zhibin¹, Yu Xiaolin³, Tao Zhengwu², Xu Peng⁴, Li Zhiqiang¹

1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China;
2. Research Institute of Exploration and Development, Tarim Oilfield Company, PetroChina, Korla 841000, Xinjiang, China;
3. Exploration & Development Research Institute, Changqing Oilfield Company, Petrochina, Xi'an 710018, China;
4. College of Petroleum Engineering, Yangtze University, Wuhan 430100, China

Received:2016-06-07 Online:2017-03-26 Published:2017-03-26
Supported by:
Supported by the National Key Basic Research Program ("973" Program) of China (2015CB250902) and the Open Fund Projects of State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (PLN1129)

Abstract

Abstract: Since the study of the reservoir rock physical property stress sensitivity mainly focus on the test and data processing method, and can't be explained on mechanism via the single shape pore theory model so far, the random pore network simulations are proposed for the rock physical property stress sensitivity mechanism explanation in the paper. Based on percolation theory, similarity principle of water and electricity, Kirchoff law, three dimensional random pore network model using iteration method is generated programmatically based on the QT Creator platform. The relationship of experiment dimensionless radius and the effective stress is simulated, and the simulation results show that smaller the aspect ratio is, the more obvious the dimensionless radius responds to the stress effect. Thus permeability stress sensitivity mechanism explanation is realized based on the relation of permeability and effective stress established using the network simulation method.

Key words: network model, effective stress, stress sensitivity

CLC Number:

TE311

Yang Jianping, Liu Zhibin, Yu Xiaolin, Tao Zhengwu, Xu Peng, Li Zhiqiang. Mechanism of Permeability Stress Sensitivity Based on Random Pore Network Simulation[J].Journal of Jilin University(Earth Science Edition), 2017, 47(2): 626-632.

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