Yang Ju , Guoming Fu , Hongwei Zhou , Shirong Ge , Suping Peng
{"title":"深层储层压裂引起的断层再激活和地震风险:机制、预测和观点","authors":"Yang Ju , Guoming Fu , Hongwei Zhou , Shirong Ge , Suping Peng","doi":"10.1016/j.ijmst.2025.06.005","DOIUrl":null,"url":null,"abstract":"<div><div>With the advancement of fracturing technologies in deeper and more geologically complex formations, fault reactivation and induced seismicity have attracted increasing attention. The increasing frequency and magnitude of these events underscore the need for a robust understanding of the governing physical mechanisms. Elevated pore pressure, modified fault-loading conditions, and aseismic slip are widely acknowledged as the primary drivers. Recent studies have explored these mechanisms under varying factors, including fluid properties, rock ductility, poroelastic responses, and evolving fault stress states, thereby offering critical insights into model refinement. Probabilistic forecasting approaches, which combine statistical analyses of historical data with real-time monitoring, are being increasingly adopted in seismic risk assessments. In parallel, machine learning techniques are employed to process large seismic datasets and identify key patterns. However, their predictive capabilities remain limited by geological heterogeneity, subsurface complexity, and scarce observational data. Moreover, fluid–rock interactions further complicate the development of universally applicable models, thereby constraining the generalizability of mitigation strategies. This review synthesizes the current understanding of induced seismicity mechanisms, evaluates the prevailing prediction and mitigation methods, and identifies major challenges and future research directions. Advancements in these areas are essential to enhancing seismic risk management and ensuring the safe, sustainable development of deep-subsurface energy resources.</div></div>","PeriodicalId":48625,"journal":{"name":"International Journal of Mining Science and Technology","volume":"35 8","pages":"Pages 1211-1232"},"PeriodicalIF":13.7000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault reactivation and seismic risks induced by deep reservoir fracturing: Mechanisms, prediction and perspectives\",\"authors\":\"Yang Ju , Guoming Fu , Hongwei Zhou , Shirong Ge , Suping Peng\",\"doi\":\"10.1016/j.ijmst.2025.06.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With the advancement of fracturing technologies in deeper and more geologically complex formations, fault reactivation and induced seismicity have attracted increasing attention. The increasing frequency and magnitude of these events underscore the need for a robust understanding of the governing physical mechanisms. Elevated pore pressure, modified fault-loading conditions, and aseismic slip are widely acknowledged as the primary drivers. Recent studies have explored these mechanisms under varying factors, including fluid properties, rock ductility, poroelastic responses, and evolving fault stress states, thereby offering critical insights into model refinement. Probabilistic forecasting approaches, which combine statistical analyses of historical data with real-time monitoring, are being increasingly adopted in seismic risk assessments. In parallel, machine learning techniques are employed to process large seismic datasets and identify key patterns. However, their predictive capabilities remain limited by geological heterogeneity, subsurface complexity, and scarce observational data. Moreover, fluid–rock interactions further complicate the development of universally applicable models, thereby constraining the generalizability of mitigation strategies. This review synthesizes the current understanding of induced seismicity mechanisms, evaluates the prevailing prediction and mitigation methods, and identifies major challenges and future research directions. Advancements in these areas are essential to enhancing seismic risk management and ensuring the safe, sustainable development of deep-subsurface energy resources.</div></div>\",\"PeriodicalId\":48625,\"journal\":{\"name\":\"International Journal of Mining Science and Technology\",\"volume\":\"35 8\",\"pages\":\"Pages 1211-1232\"},\"PeriodicalIF\":13.7000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mining Science and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2095268625000977\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MINING & MINERAL PROCESSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mining Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2095268625000977","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MINING & MINERAL PROCESSING","Score":null,"Total":0}
Fault reactivation and seismic risks induced by deep reservoir fracturing: Mechanisms, prediction and perspectives
With the advancement of fracturing technologies in deeper and more geologically complex formations, fault reactivation and induced seismicity have attracted increasing attention. The increasing frequency and magnitude of these events underscore the need for a robust understanding of the governing physical mechanisms. Elevated pore pressure, modified fault-loading conditions, and aseismic slip are widely acknowledged as the primary drivers. Recent studies have explored these mechanisms under varying factors, including fluid properties, rock ductility, poroelastic responses, and evolving fault stress states, thereby offering critical insights into model refinement. Probabilistic forecasting approaches, which combine statistical analyses of historical data with real-time monitoring, are being increasingly adopted in seismic risk assessments. In parallel, machine learning techniques are employed to process large seismic datasets and identify key patterns. However, their predictive capabilities remain limited by geological heterogeneity, subsurface complexity, and scarce observational data. Moreover, fluid–rock interactions further complicate the development of universally applicable models, thereby constraining the generalizability of mitigation strategies. This review synthesizes the current understanding of induced seismicity mechanisms, evaluates the prevailing prediction and mitigation methods, and identifies major challenges and future research directions. Advancements in these areas are essential to enhancing seismic risk management and ensuring the safe, sustainable development of deep-subsurface energy resources.
期刊介绍:
The International Journal of Mining Science and Technology, founded in 1990 as the Journal of China University of Mining and Technology, is a monthly English-language journal. It publishes original research papers and high-quality reviews that explore the latest advancements in theories, methodologies, and applications within the realm of mining sciences and technologies. The journal serves as an international exchange forum for readers and authors worldwide involved in mining sciences and technologies. All papers undergo a peer-review process and meticulous editing by specialists and authorities, with the entire submission-to-publication process conducted electronically.