{"title":"Mitigating caprock failure and leakage risks through controlled CO2 injection and coupled flow-geomechanics-fracturing simulation","authors":"Fangning Zheng, Birendra Jha , Behnam Jafarpour","doi":"10.1016/j.ijggc.2025.104387","DOIUrl":null,"url":null,"abstract":"<div><div>During CO<sub>2</sub> injection into geologic storage formations, pressure increase induces stress changes in and around the reservoir, which may cause various geomechanical hazards such as caprock failure, ground surface uplifting, and induced seismicity. Caprock failure may create a leakage pathway for CO<sub>2</sub> to leak from the storage reservoir to shallower aquifers and even to the atmosphere. Identifying injection strategies that ensure the safety of operation in the presence of such risks is a challenging problem. In this paper, we present a novel framework for minimizing the CO<sub>2</sub> leakage potential due to caprock fracturing. We develop the framework by intgerating a coupled multiphase flow-geomechanics-fracturing simulation of geologic CO<sub>2</sub> storage process with an advanced numerical optimization algorithm that effectively utilizes the multiphysics mechanisms inherent in the model. The proposed optimization framework incorporates geological uncertainty to account for the lack of complete knowledge about the storage formation flow properties. The optimization algorithm determines the optimal well injection rate trajectories over uncertain descriptions of a heterogeneous storage reservoir to manage the pressure increase and minimize the risk of fracturing and CO<sub>2</sub> leakage. To minimize the caprock fracturing potential, the optimization algorithm maximizes the stress differences between the minimum effective stress and the fracture opening stress. The paper demonstrates the importance of applying optimization algorithms to systematically minimize the leakage risk. This is accomplished through a numerical optimization algorithm that uses a state-of-the-art coupled-physics modeling to search for and identify injection strategies that do not jeopardize caprock integrity. The presented approach is generic and can be adapted to minimize other environmental risks associated with geologic CO<sub>2</sub> storage.</div></div>","PeriodicalId":334,"journal":{"name":"International Journal of Greenhouse Gas Control","volume":"144 ","pages":"Article 104387"},"PeriodicalIF":4.6000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Greenhouse Gas Control","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1750583625000854","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
During CO2 injection into geologic storage formations, pressure increase induces stress changes in and around the reservoir, which may cause various geomechanical hazards such as caprock failure, ground surface uplifting, and induced seismicity. Caprock failure may create a leakage pathway for CO2 to leak from the storage reservoir to shallower aquifers and even to the atmosphere. Identifying injection strategies that ensure the safety of operation in the presence of such risks is a challenging problem. In this paper, we present a novel framework for minimizing the CO2 leakage potential due to caprock fracturing. We develop the framework by intgerating a coupled multiphase flow-geomechanics-fracturing simulation of geologic CO2 storage process with an advanced numerical optimization algorithm that effectively utilizes the multiphysics mechanisms inherent in the model. The proposed optimization framework incorporates geological uncertainty to account for the lack of complete knowledge about the storage formation flow properties. The optimization algorithm determines the optimal well injection rate trajectories over uncertain descriptions of a heterogeneous storage reservoir to manage the pressure increase and minimize the risk of fracturing and CO2 leakage. To minimize the caprock fracturing potential, the optimization algorithm maximizes the stress differences between the minimum effective stress and the fracture opening stress. The paper demonstrates the importance of applying optimization algorithms to systematically minimize the leakage risk. This is accomplished through a numerical optimization algorithm that uses a state-of-the-art coupled-physics modeling to search for and identify injection strategies that do not jeopardize caprock integrity. The presented approach is generic and can be adapted to minimize other environmental risks associated with geologic CO2 storage.
期刊介绍:
The International Journal of Greenhouse Gas Control is a peer reviewed journal focusing on scientific and engineering developments in greenhouse gas control through capture and storage at large stationary emitters in the power sector and in other major resource, manufacturing and production industries. The Journal covers all greenhouse gas emissions within the power and industrial sectors, and comprises both technical and non-technical related literature in one volume. Original research, review and comments papers are included.