CO2 Accounting and Risk Analysis for CO2 Sequestration at Enhanced Oil Recovery Sites

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• 作者：Zhenxue Dai ; Hari Viswanathan ; Richard Middleton ; Feng Pan ; William Ampomah ; Changbing Yang ; Wei Jia ; Ting Xiao ; Si-Yong Lee ; Brian McPherson ; Robert Balch ; Reid Grigg ; Mark White
• 刊名：Environmental Science & Technology
• 出版年：2016
• 出版时间：July 19, 2016
• 年：2016
• 卷：50
• 期：14
• 页码：7546-7554
• 全文大小：679K
• 年卷期：0
• ISSN：1520-5851

文摘

Using CO₂ in enhanced oil recovery (CO₂-EOR) is a promising technology for emissions management because CO₂-EOR can dramatically reduce sequestration costs in the absence of emissions policies that include incentives for carbon capture and storage. This study develops a multiscale statistical framework to perform CO₂ accounting and risk analysis in an EOR environment at the Farnsworth Unit (FWU), Texas. A set of geostatistical-based Monte Carlo simulations of CO₂–oil/gas–water flow and transport in the Morrow formation are conducted for global sensitivity and statistical analysis of the major risk metrics: CO₂/water injection/production rates, cumulative net CO₂ storage, cumulative oil/gas productions, and CO₂ breakthrough time. The median and confidence intervals are estimated for quantifying uncertainty ranges of the risk metrics. A response-surface-based economic model has been derived to calculate the CO₂-EOR profitability for the FWU site with a current oil price, which suggests that approximately 31% of the 1000 realizations can be profitable. If government carbon-tax credits are available, or the oil price goes up or CO₂ capture and operating expenses reduce, more realizations would be profitable. The results from this study provide valuable insights for understanding CO₂ storage potential and the corresponding environmental and economic risks of commercial-scale CO₂-sequestration in depleted reservoirs.