TY - JOUR
T1 - Monetizing Leakage Risk with Secondary Trapping in Intervening Stratigraphic Layers
AU - Bielicki, Jeffrey M.
AU - Deng, Hang
AU - Fitts, Jeffrey P.
AU - Peters, Catherine Anne
AU - Wilson, Elizabeth J.
N1 - Funding Information:
We gratefully acknowledge funding from the U.S. Department of En ergy (DE-FE-0000749) and the U.S. National Science Foundation (Sustainable Energy Pathways Program, grant 1230691; CBET 1133849).
Publisher Copyright:
© 2017 The Authors.
PY - 2017
Y1 - 2017
N2 - Carbon dioxide (CO2) capture and storage, (CCS) has the potential to substantially mitigate CO2 emissions, but concerns over the potential for leakage of CO2 and brine from subsurface formations in which CO2 has been geologically stored have impeded the deployment of CCS. In three lines of work, we investigated the causes and consequences of the leakage risk of CO2 storage in deep saline aquifers. Our work developed the Leakage Impact Valuation (LIV) method to estimate the economic costs of leakage, produced an approach to probabilistically estimate the extent and magnitudes of leakage, and established the Leakage Risk Monetization Model (LRiMM) of geologic CO2 storage to estimate the site-specific monetized leakage risk (MLR) of geologic CO2 storage. The LRiMM combines the estimates of the economic costs and probabilistic extents and magnitudes of leakage in three dimensions within the geospatial context of leakage pathways and other subsurface activities. Here, we provide brief summaries of these lines of work and the lessons that arise from the results.
AB - Carbon dioxide (CO2) capture and storage, (CCS) has the potential to substantially mitigate CO2 emissions, but concerns over the potential for leakage of CO2 and brine from subsurface formations in which CO2 has been geologically stored have impeded the deployment of CCS. In three lines of work, we investigated the causes and consequences of the leakage risk of CO2 storage in deep saline aquifers. Our work developed the Leakage Impact Valuation (LIV) method to estimate the economic costs of leakage, produced an approach to probabilistically estimate the extent and magnitudes of leakage, and established the Leakage Risk Monetization Model (LRiMM) of geologic CO2 storage to estimate the site-specific monetized leakage risk (MLR) of geologic CO2 storage. The LRiMM combines the estimates of the economic costs and probabilistic extents and magnitudes of leakage in three dimensions within the geospatial context of leakage pathways and other subsurface activities. Here, we provide brief summaries of these lines of work and the lessons that arise from the results.
KW - economic costs
KW - geologic CO storage
KW - leakage
KW - leakage risk
KW - monetization
KW - stakeholder exposure
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U2 - 10.1016/j.egypro.2017.03.1565
DO - 10.1016/j.egypro.2017.03.1565
M3 - Conference article
AN - SCOPUS:85029649358
SN - 1876-6102
VL - 114
SP - 4256
EP - 4261
JO - Energy Procedia
JF - Energy Procedia
T2 - 13th International Conference on Greenhouse Gas Control Technologies, GHGT 2016
Y2 - 14 November 2016 through 18 November 2016
ER -