19,440 research outputs found
Uncertainty quantification for CO2 sequestration and enhanced oil recovery
This study develops a statistical method to perform uncertainty
quantification for understanding CO2 storage potential within an enhanced oil
recovery (EOR) environment at the Farnsworth Unit of the Anadarko Basin in
northern Texas. A set of geostatistical-based Monte Carlo simulations of
CO2-oil-water flow and reactive transport in the Morrow formation are conducted
for global sensitivity and statistical analysis of the major uncertainty
metrics: net CO2 injection, cumulative oil production, cumulative gas (CH4)
production, and net water injection. A global sensitivity and response surface
analysis indicates that reservoir permeability, porosity, and thickness are the
major intrinsic reservoir parameters that control net CO2 injection/storage and
oil/gas recovery rates. The well spacing and the initial water saturation also
have large impact on the oil/gas recovery rates. Further, this study has
revealed key insights into the potential behavior and the operational
parameters of CO2 sequestration at CO2-EOR sites, including the impact of
reservoir characterization uncertainty; understanding this uncertainty is
critical in terms of economic decision making and the cost-effectiveness of CO2
storage through EOR.Comment: 9 pages, 6 figures, in press, Energy Procedia, 201
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