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Title: GPU simulations for risk assessment in CO2 geologic sequestration

Abstract

A main concern for any CO{sub 2} sequestration system is whether it may leak CO{sub 2} over a long-term time horizon. The outcome depends on the competition between sequestration and leakage processes. Leakages may occur from failure of manmade material or through faults in the formations above the reservoir. A simple and computationally efficient simulator was constructed based on the CQUESTRA model (LeNeveu, 2008). To assess the risk associated with uncertainty in the values of uncertain parameters in this model, thousands of runs were carried out with the simulator on a general-purpose graphics processing unit (GPU). The GPU implementation was up to 64 times faster compared to a CPU implementation. In the absence of active faults around a single injection well, the model suggests that leakages of more than 1% of the total CO{sub 2} are unlikely during the 1000 year period after dissipation of temperature and pressure transients associated with injection. Leakage amounts for ten leaky wells are considerably higher, suggesting the critical importance of monitoring equipment after sequestration.

Authors:
; ;
Publication Date:
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1053617
Report Number(s):
TPR-3322
Journal ID: ISSN 0098-1354
DOE Contract Number:  
DE-FE-0004000
Resource Type:
Journal Article
Journal Name:
Computers and Chemical Engineering
Additional Journal Information:
Journal Volume: 35; Journal Issue: 8; Journal ID: ISSN 0098-1354
Country of Publication:
United States
Language:
English
Subject:
20 FOSSIL-FUELED POWER PLANTS; 97 MATHEMATICS AND COMPUTING; CO{sub 2} sequestration; Risk assessment; Monte Carlo simulation; GPU parallel computing

Citation Formats

Zhang, Yan, Vouzis, Panagiotis, and Sahinidis, Nikolaos V. GPU simulations for risk assessment in CO2 geologic sequestration. United States: N. p., 2011. Web. doi:10.1016/j.compchemeng.2011.03.023.
Zhang, Yan, Vouzis, Panagiotis, & Sahinidis, Nikolaos V. GPU simulations for risk assessment in CO2 geologic sequestration. United States. doi:10.1016/j.compchemeng.2011.03.023.
Zhang, Yan, Vouzis, Panagiotis, and Sahinidis, Nikolaos V. Mon . "GPU simulations for risk assessment in CO2 geologic sequestration". United States. doi:10.1016/j.compchemeng.2011.03.023.
@article{osti_1053617,
title = {GPU simulations for risk assessment in CO2 geologic sequestration},
author = {Zhang, Yan and Vouzis, Panagiotis and Sahinidis, Nikolaos V.},
abstractNote = {A main concern for any CO{sub 2} sequestration system is whether it may leak CO{sub 2} over a long-term time horizon. The outcome depends on the competition between sequestration and leakage processes. Leakages may occur from failure of manmade material or through faults in the formations above the reservoir. A simple and computationally efficient simulator was constructed based on the CQUESTRA model (LeNeveu, 2008). To assess the risk associated with uncertainty in the values of uncertain parameters in this model, thousands of runs were carried out with the simulator on a general-purpose graphics processing unit (GPU). The GPU implementation was up to 64 times faster compared to a CPU implementation. In the absence of active faults around a single injection well, the model suggests that leakages of more than 1% of the total CO{sub 2} are unlikely during the 1000 year period after dissipation of temperature and pressure transients associated with injection. Leakage amounts for ten leaky wells are considerably higher, suggesting the critical importance of monitoring equipment after sequestration.},
doi = {10.1016/j.compchemeng.2011.03.023},
journal = {Computers and Chemical Engineering},
issn = {0098-1354},
number = 8,
volume = 35,
place = {United States},
year = {2011},
month = {8}
}