石油物探2026，Vol.65Issue(5)：883-896,14.DOI:10.12431/issn.1000-1441.2025.0249
重庆相国寺储气库微地震监测系统构建与探测能力评价
Construction and detection capability evaluation of the microseismic monitoring system for the Chongqing Xiangguosi underground gas storage
摘要
Abstract
Focusing on the Chongqing Xiangguosi reservoir-type underground gas storage(UGS),this study addresses its geological safety monitoring in the complex structural environment.A three-stage network construction approach—pilot testing,optimization,and system refinement—is proposed and implemented.As a result,an integrated deep-shallow microseismic monitoring network consisting of 12 shallow wells and 2 deep wells is established.The performance of the monitoring network is systematically evaluated based on the Brune source spectrum theory and quantitative analysis of noise power spectral density(PSD).The shallow-well system is capable of detecting events of ML ≈-0.5,with a location accuracy of less than 50 m,whereas the deep-well system achieves higher sensitivity(ML ≈-2.5)and better location accuracy(<15 m)in the structural core area.Monitoring data from the trial operation indicate no significant correlation between microseismic activity and gas injection and production operations,nor any anomalies in fault activity or caprock response.These results preliminarily verify the sealing integrity and stability of the gas-storage trap during the current monitoring period.The technical framework—characterized by a deep-shallow collaborative architecture,quantitative capability assessment,and statistical empirical analysis—provides a generally applicable reference scheme for the design optimization and engineering application of microseismic monitoring systems for similar underground gas storage facilities.关键词
地下储气库/微地震监测/监测系统设计/探测性能评估/注采扰动Key words
underground gas storage/microseismic monitoring/monitoring system design/detection performance evaluation/injection-production disturbance分类
能源科技引用本文复制引用
李力民,李磊,胡昌权,温廷钧,徐刚,魏路路,张浩,周远剑,孙东生,甘泉..重庆相国寺储气库微地震监测系统构建与探测能力评价[J].石油物探,2026,65(5):883-896,14.基金项目
国家科技重大专项(2024ZD1000701,2024ZD1000704)与国家自然科学基金项目(42174122)共同资助. This research is financially supported by the National Science and Technology Major Project of China(Grant Nos.2024ZD1000701,2024ZD1000704)and the National Natural Science Foundation of China(Grant No.42174122). （2024ZD1000701,2024ZD1000704）
