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Identification of potential CO 2 leakage pathways and mechanisms in oil reservoirs using fault tree analysis
Author(s) -
Wang Yanqing,
Zhang Liang,
Ren Shaoran,
Ren Bo,
Chen Bailian,
Lu Jun
Publication year - 2020
Publication title -
greenhouse gases: science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 32
ISSN - 2152-3878
DOI - 10.1002/ghg.1959
Subject(s) - casing , petroleum engineering , leakage (economics) , environmental science , fault tree analysis , greenhouse gas , enhanced oil recovery , oil field , fossil fuel , petroleum , waste management , environmental engineering , geology , engineering , reliability engineering , economics , macroeconomics , paleontology , oceanography
Geological storage of CO 2 technologies has become an important and effective way to reduce the greenhouse gas emissions, especially when it is combined with CO 2 enhanced oil recovery (EOR), which can not only trap CO 2 but also enhance oil recovery. However, the risk of CO 2 leakage has always been a prominent issue. In this paper, the mechanisms and pathways of CO 2 leakage during geological storage in oil reservoirs were analyzed using fault tree analysis (FTR). Besides, monitoring technologies were discussed and deployed in a CO 2 EOR demonstration project. The analysis results showed that the sealing failures of oil producer and CO 2 injector wells, like well cement failure and casing failure, are the main reasons for the CO 2 leakage, which has been observed in the oil field monitoring project. The monitoring results indicated that there is no large‐scale CO 2 leakage, while relatively high and abnormal CO 2 concentration in soil gas near some wellbores are observed, which indicates there is some leakage of CO 2 through incomplete cement ring and well casing string. FTR results provide guidelines for monitoring and preventing of CO 2 leakage during geological storage in oil reservoirs. The near‐surface monitoring methods, especially the soil gas monitoring technologies, can effectively detect the leakage of CO 2 , and are a proper method for CO 2 leakage monitoring. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.