Research output: Contribution to Journal/Magazine › Journal article › peer-review
Modelling and monitoring of geological carbon storage : a perspective on cross-validation. / Jiang, Xi; Akber Hassan, Wasim Akram; Gluyas, Jon.
In: Applied Energy, Vol. 112, 12.2013, p. 784-792.Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Modelling and monitoring of geological carbon storage
T2 - a perspective on cross-validation
AU - Jiang, Xi
AU - Akber Hassan, Wasim Akram
AU - Gluyas, Jon
PY - 2013/12
Y1 - 2013/12
N2 - Effective monitoring and numerical simulations are essential to understanding the implications of long-term geological carbon storage; in particular, the predictions of CO2 plume flow under storage conditions, storage integrity of sites, and the design and operational aspects of the CO2 storage projects could be significantly supplemented. Site monitoring data can assure reliability and accuracy of the numerical simulation while numerical prediction results will provide more detailed information on the storage process. The cross-validation between numerical modelling results and monitoring data can play a major role in the development of carbon capture and storage technology. This paper briefly reviews the monitoring and modelling technologies associated with geological carbon storage. In addition, the spatial and temporal resolutions of the numerical simulations are highlighted, while estimations on the resolutions of some commonly used monitoring technologies are also presented. It is revealed that there are gaps in the correlations and cross-validation between the two technologies, where a possible option to reduce the gaps is to enforce more research efforts on multi-scale modelling and appropriate variable correlations.
AB - Effective monitoring and numerical simulations are essential to understanding the implications of long-term geological carbon storage; in particular, the predictions of CO2 plume flow under storage conditions, storage integrity of sites, and the design and operational aspects of the CO2 storage projects could be significantly supplemented. Site monitoring data can assure reliability and accuracy of the numerical simulation while numerical prediction results will provide more detailed information on the storage process. The cross-validation between numerical modelling results and monitoring data can play a major role in the development of carbon capture and storage technology. This paper briefly reviews the monitoring and modelling technologies associated with geological carbon storage. In addition, the spatial and temporal resolutions of the numerical simulations are highlighted, while estimations on the resolutions of some commonly used monitoring technologies are also presented. It is revealed that there are gaps in the correlations and cross-validation between the two technologies, where a possible option to reduce the gaps is to enforce more research efforts on multi-scale modelling and appropriate variable correlations.
KW - Carbon capture and storage
KW - Modelling
KW - Monitoring
KW - Resolution
KW - Validation
U2 - 10.1016/j.apenergy.2013.01.068
DO - 10.1016/j.apenergy.2013.01.068
M3 - Journal article
VL - 112
SP - 784
EP - 792
JO - Applied Energy
JF - Applied Energy
SN - 0306-2619
ER -