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Uncertainty analyses of CO2 plume expansion subsequent to wellbore CO2 leakage into aquifers.

Authors :
Zhangshuan Hou
Bacon, Diana H.
Engel, Dave W.
Guang Lin
Yilin Fang
Huiying Ren
Zhufeng Fang
Source :
International Journal of Greenhouse Gas Control; Aug2014, Vol. 27, p69-80, 12p
Publication Year :
2014

Abstract

This study focused on CO<subscript>2</subscript> plume expansion subsequent to wellbore CO<subscript>2</subscript> leakage into a shallow unconfined aquifer post-CO<subscript>2</subscript> injection. The target response variables included CO<subscript>2</subscript> plume size, as well as flux to the atmosphere. Many processes contribute to CO<subscript>2</subscript> plume expansion in the aquifer; here we considered process and model parameters including those affecting the abandoned well leak rate, aquifer hydraulic properties, and aquifer geochemistry. In order to identify the significant factors affecting leakage, we adopted an uncertainty quantification framework to quantify input uncertainty, generate exploratory samples effectively, perform scalable numerical simulations, visualize output uncertainty, and evaluate input-output relationships. We combined quasi-Monte Carlo and adaptive sampling approaches to reduce the number of forward calculations while fully exploring the input parameter space and quantifying the output uncertainty. The CO<subscript>2</subscript> migration was simulated with STOMP-CO2 (water-salt-CO<subscript>2</subscript> module). Response surfaces of model outputs were built with respect to input parameters to determine the individual and combined effects. Four most significant parameters were identified to be dominating the CO<subscript>2</subscript> plume expansion process subsequent to wellbore CO<subscript>2</subscript> leakage: distance between the leaky and injection wells, maximum leakage rate, porosity, and hydraulic conductivity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17505836
Volume :
27
Database :
Supplemental Index
Journal :
International Journal of Greenhouse Gas Control
Publication Type :
Academic Journal
Accession number :
97184281
Full Text :
https://doi.org/10.1016/j.ijggc.2014.05.004