Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials

ensitivity Analyses and Value Qualification of CO2 Storage in the Fractured Saline Aquifer

Authors
Xiang Li, Jingliang Xu, Meng Yu, Lielei Tie, Hongfeng Guo, Chenwei Liu
Corresponding Author
Xiang Li
Available Online January 2016.
DOI
10.2991/icsmim-15.2016.151How to use a DOI?
Keywords
CO2 storage; solubility; computer experimental design; sensitivity studies; sub-seismic geologic features.
Abstract

The objective of this research is to study effects of injection strategies, solubility factor, and aquifer parameters on the feasibility of storing CO2 in the naturally fractured aquifer by running compositional numerical simulator. Factors with direct relevance to CO2 trapping estimations: injection rates, well configurations, permeability anisotropy, fracture locations, fracture permeability, and fracture spacing were investigated using dual-permeability models in compositional reservoir simulator (CMG-GEM). A 30-point experimental design, aimed at evaluating the effect of solubility and aquifer parameters such as depth, porosity, and permeability on CO2 storage, was conducted in various heterogeneous reservoir models. Results show that when horizontal producers are down-dip, the combined influence of buoyancy and heterogeneity can delay CO2 breakthrough. Sub-seismic geological features such as fracture locations, fracture spacing, fracture permeability, and shale layers are demonstrated to have impact on CO2 sequestration. Results are seen to be far more sensitive to thin shale layers than to variations in the vertical to horizontal permeability ratios. The result of the 30-point design shows that variability in trapping efficiency was explained primarily by depth, then permeability, and finally porosity.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-157-5
ISSN
2352-538X
DOI
10.2991/icsmim-15.2016.151How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiang Li
AU  - Jingliang Xu
AU  - Meng Yu
AU  - Lielei Tie
AU  - Hongfeng Guo
AU  - Chenwei Liu
PY  - 2016/01
DA  - 2016/01
TI  - ensitivity Analyses and Value Qualification of CO2 Storage in the Fractured Saline Aquifer
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 806
EP  - 812
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.151
DO  - 10.2991/icsmim-15.2016.151
ID  - Li2016/01
ER  -