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A Leakage Safety Discrimination Model and Method for Saline Aquifer CCS Based on Pressure Dynamics.

Authors :
Ni, Jun
Wang, Chengjun
Dang, Hailong
Jing, Hongwei
Zhao, Xiaoliang
Source :
Processes; Oct2024, Vol. 12 Issue 10, p2206, 18p
Publication Year :
2024

Abstract

The saline aquifer CCS is a crucial site for carbon storage. Safety monitoring is a key technology for saline aquifer CCS. Current CO<subscript>2</subscript> leakage detection methods include microseismic, electromagnetic, and well-logging techniques. However, these methods face challenges, such as difficulties in determining CO<subscript>2</subscript> migration fronts and predicting potential leakage events; as a result, the formulation of test timing and methods for these safety monitoring techniques are somewhat arbitrary. This study establishes a gas–water two-phase seepage model and solves it using a semi-analytical method to obtain the injection pressure and the derivative curve characteristics of the injection well. The pressure derivative curve can reflect the physical properties of the reservoir through which CO<subscript>2</subscript> flows underground, and it can also be used to determine whether CO<subscript>2</subscript> leakage has occurred, as well as the timing and amount of leakage, based on boundary responses. This study conducted sensitivity analyses on eight parameters to determine the impact of each parameter on the bottom-hole pressure and its derivatives, thereby obtaining the influence of its parameters on different flow stages. The research indicates that, when a steady-state flow characteristic appears at the outer boundary, CO<subscript>2</subscript> leakage will occur. Additionally, the leakage location can be determined by calculating the distance from the injection well. This can guide the placement and measurement of safety monitoring methods for saline aquifer CCS. The method proposed in this paper can effectively monitor the timing, location, and amount of leakage, providing a technical safeguard for promoting CCS technology. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22279717
Volume :
12
Issue :
10
Database :
Complementary Index
Journal :
Processes
Publication Type :
Academic Journal
Accession number :
180526629
Full Text :
https://doi.org/10.3390/pr12102206