Uncertainty quantification for CO2 sequestration and enhanced oil recovery

Zhenxue Dai; Hari Viswanathan; Julianna Fessenden-Rahn; Richard Middleton; Feng Pan; Wei Jia; Si-Yong Lee; Brian McPherson; William Ampomah; Reid Grigg

arXiv · 1411.4900

Uncertainty quantification for CO2 sequestration and enhanced oil recovery

Zhenxue Dai·Hari Viswanathan·Julianna Fessenden-Rahn·Richard Middleton·Feng Pan·Wei Jia·Si-Yong Lee·Brian McPherson·William Ampomah·Reid Grigg

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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.

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Zhenxue Dai, Hari Viswanathan, Julianna Fessenden-Rahn, Richard Middleton, Feng Pan, Wei Jia, Si-Yong Lee, Brian McPherson, William Ampomah, Reid Grigg. 2014-11-18. Uncertainty quantification for CO2 sequestration and enhanced oil recovery. https://arxiv.org/abs/1411.4900

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