Journal Published Online: 24 January 2024
Volume 47, Issue 4

An Innovative Experimental Methodology for Testing Anisotropic Permeabilities of Formation Rocks

CODEN: GTJODJ

Abstract

The permeability of reservoir rocks is a typical anisotropic property. Accurate testing and characterization of reservoir in situ anisotropic permeability is crucial for geo-energy applications including geothermal energy extraction, hydrocarbon reservoir development, coalbed methane production, and carbon dioxide geological sequestration. In this work, a novel experimental apparatus was designed to more precisely determine the permeability tensor of reservoir rocks. The device can independently apply stresses in different directions to simulate in situ reservoir stress conditions and reservoir temperatures. The experiment can accurately measure the principal components of the permeability tensor in three directions for rock samples while effectively avoiding experimental errors caused by internal structure damage during disassembly. Using the self-developed apparatus, anisotropic permeability tests were conducted on sandstone, shale, and coal samples. The results show that the three-dimensional permeability of rock samples under in situ reservoir stress conditions is lower than under isotropic stress conditions. However, the variation magnitude of the three-dimensional permeability differs between the three rock types because of lithological differences. This confirms the difference in data between the proposed anisotropic permeability test method and other traditional methods. We also observed that for rocks without distinct oriented internal structures like sandstone, anisotropic permeability is more sensitive to (normal) stress changes. In contrast, for rocks with oriented pore structures such as shale and coal, the degree of anisotropic permeability is less sensitive to (normal) stress changes. The proposed novel anisotropic permeability test method obtains more accurate and realistic data under simulated in situ stress conditions compared with existing methods. It can evaluate rock properties and optimize geothermal or hydrocarbon production well designs to improve production efficiency.

Author Information

Sun, Zhenjie
College of Energy, Chengdu University of Technology, Chengdu, Sichuan, China
Wang, Xiaoguang
College of Energy, Chengdu University of Technology, Chengdu, Sichuan, China Tianfu Yongxing Laboratory, Chengdu, Sichuan, China
Wang, Yanyong
College of Energy, Chengdu University of Technology, Chengdu, Sichuan, China
Zuo, Yinhui
College of Energy, Chengdu University of Technology, Chengdu, Sichuan, China
Pages: 17
Price: $25.00
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Stock #: GTJ20230416
ISSN: 0149-6115
DOI: 10.1520/GTJ20230416