Literature DB >> 24625081

Pre-site characterization risk analysis for commercial-scale carbon sequestration.

Zhenxue Dai1, Philip H Stauffer, J William Carey, Richard S Middleton, Zhiming Lu, John F Jacobs, Ken Hnottavange-Telleen, Lee H Spangler.   

Abstract

This study develops a probability framework to evaluate subsurface risks associated with commercial-scale carbon sequestration in the Kevin Dome, Montana. Limited knowledge of the spatial distribution of physical attributes of the storage reservoir and the confining rocks in the area requires using regional data to estimate project risks during the pre-site characterization analysis. A set of integrated Monte Carlo simulations are used to assess four risk proxies: the CO2 injectivity, area of review (AoR), migration rate into confining rocks, and a monitoring strategy prior to detailed site characterization. Results show a reasonable likelihood of reaching the project goal of injecting 1 Mt in 4 years with a single injection well (>58%), increasing to >70% if the project is allowed to run for 5 years. The mean radius of the AoR, based on a 0.1 MPa pressure change, is around 4.8 km. No leakage of CO2 through the confining units is seen in any simulations. The computed CO2 detection probability suggests that the monitoring wells should be located at less than 1.2 km away from the injection well so that CO2 is likely to be detected within the time frame of the project. The scientific results of this study will be used to inform the detailed site characterization process and to provide more insight for understanding operational and technical risks before injecting CO2.

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Year:  2014        PMID: 24625081     DOI: 10.1021/es405468p

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  4 in total

1.  Critical Dynamics of Gravito-Convective Mixing in Geological Carbon Sequestration.

Authors:  Mohamad Reza Soltanian; Mohammad Amin Amooie; Zhenxue Dai; David Cole; Joachim Moortgat
Journal:  Sci Rep       Date:  2016-11-03       Impact factor: 4.379

2.  Improved estimation of hydraulic conductivity by combining stochastically simulated hydrofacies with geophysical data.

Authors:  Lin Zhu; Huili Gong; Yun Chen; Xiaojuan Li; Xiang Chang; Yijiao Cui
Journal:  Sci Rep       Date:  2016-03-01       Impact factor: 4.379

3.  Impact of naturally leaking carbon dioxide on soil properties and ecosystems in the Qinghai-Tibet plateau.

Authors:  Xiaohong Zhao; Hongzhang Deng; Wenke Wang; Feng Han; Chunrong Li; Hui Zhang; Zhenxue Dai
Journal:  Sci Rep       Date:  2017-06-07       Impact factor: 4.379

4.  Interactions and exchange of CO2 and H2O in coals: an investigation by low-field NMR relaxation.

Authors:  Xiaoxiao Sun; Yanbin Yao; Dameng Liu; Derek Elsworth; Zhejun Pan
Journal:  Sci Rep       Date:  2016-01-28       Impact factor: 4.379

  4 in total

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