Uncertainty quantification for CO2 sequestration and enhanced oil recovery
Abstract
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.
Cite
@article{arxiv.1411.4900,
title = {Uncertainty quantification for CO2 sequestration and enhanced oil recovery},
author = {Zhenxue Dai and Hari Viswanathan and Julianna Fessenden-Rahn and Richard Middleton and Feng Pan and Wei Jia and Si-Yong Lee and Brian McPherson and William Ampomah and Reid Grigg},
journal= {arXiv preprint arXiv:1411.4900},
year = {2014}
}
Comments
9 pages, 6 figures, in press, Energy Procedia, 2014