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Title: CO 2 Sequestration and Enhanced Oil Recovery at Depleted Oil/Gas Reservoirs

This study presents a quantitative evaluation of the operational and technical risks of an active CO 2-EOR project. A set of risk factor metrics is defined to post-process the Monte Carlo (MC) simulations for statistical analysis. The risk factors are expressed as measurable quantities that can be used to gain insight into project risk (e.g. environmental and economic risks) without the need to generate a rigorous consequence structure, which include (a) CO 2 injection rate, (b) net CO 2 injection rate, (c) cumulative CO 2 storage, (d) cumulative water injection, (e) oil production rate, (f) cumulative oil production, (g) cumulative CH 4 production, and (h) CO 2 breakthrough time. The Morrow reservoir at the Farnsworth Unit (FWU) site, Texas, is used as an example for studying the multi-scale statistical approach for CO 2 accounting and risk analysis. A set of geostatistical-based MC simulations of CO 2-oil/gas-water flow and transport in the Morrow formation are conducted for evaluating the risk metrics. A response-surface-based economic model has been derived to calculate the CO 2-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,more » or the oil price goes up or CO 2 capture and operating expenses reduce, more realizations would be profitable.« less
Authors:
 [1] ;  [1] ;  [2] ;  [1] ;  [2] ;  [3] ;  [4] ;  [4] ;  [2] ;  [5] ;  [3] ;  [3] ;  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. The Univ. of Utah, Salt Lake City, UT (United States)
  3. New Mexico Tech, Socorro, NM (United States)
  4. The Univ. of Texas at Austin, Austin, TX (United States)
  5. Schlumberger Carbon Services, Cambridge, MA (United States)
Publication Date:
Report Number(s):
LA-UR-16-27676
Journal ID: ISSN 1876-6102
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Energy Procedia
Additional Journal Information:
Journal Volume: 114; Journal Issue: C; Conference: GHGT-13, Lausanne (Switzerland), 14-18 Nov 2016; Journal ID: ISSN 1876-6102
Publisher:
Elsevier
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 02 PETROLEUM; Earth Sciences; CO2 sequestration; enhanced oil recovery; risk factor matrix; reservoir heterogeneity; geostatistical modeling; uncertainty analysis
OSTI Identifier:
1378917

Dai, Zhenxue, Viswanathan, Hari, Xiao, Ting, Middleton, Richard, Pan, Feng, Ampomah, William, Yang, Changbing, Zhou, Youqin, Jia, Wei, Lee, Si -Yong, Cather, Martha, Balch, Robert, and McPherson, Brian. CO2 Sequestration and Enhanced Oil Recovery at Depleted Oil/Gas Reservoirs. United States: N. p., Web. doi:10.1016/j.egypro.2017.08.034.
Dai, Zhenxue, Viswanathan, Hari, Xiao, Ting, Middleton, Richard, Pan, Feng, Ampomah, William, Yang, Changbing, Zhou, Youqin, Jia, Wei, Lee, Si -Yong, Cather, Martha, Balch, Robert, & McPherson, Brian. CO2 Sequestration and Enhanced Oil Recovery at Depleted Oil/Gas Reservoirs. United States. doi:10.1016/j.egypro.2017.08.034.
Dai, Zhenxue, Viswanathan, Hari, Xiao, Ting, Middleton, Richard, Pan, Feng, Ampomah, William, Yang, Changbing, Zhou, Youqin, Jia, Wei, Lee, Si -Yong, Cather, Martha, Balch, Robert, and McPherson, Brian. 2017. "CO2 Sequestration and Enhanced Oil Recovery at Depleted Oil/Gas Reservoirs". United States. doi:10.1016/j.egypro.2017.08.034. https://www.osti.gov/servlets/purl/1378917.
@article{osti_1378917,
title = {CO2 Sequestration and Enhanced Oil Recovery at Depleted Oil/Gas Reservoirs},
author = {Dai, Zhenxue and Viswanathan, Hari and Xiao, Ting and Middleton, Richard and Pan, Feng and Ampomah, William and Yang, Changbing and Zhou, Youqin and Jia, Wei and Lee, Si -Yong and Cather, Martha and Balch, Robert and McPherson, Brian},
abstractNote = {This study presents a quantitative evaluation of the operational and technical risks of an active CO2-EOR project. A set of risk factor metrics is defined to post-process the Monte Carlo (MC) simulations for statistical analysis. The risk factors are expressed as measurable quantities that can be used to gain insight into project risk (e.g. environmental and economic risks) without the need to generate a rigorous consequence structure, which include (a) CO2 injection rate, (b) net CO2 injection rate, (c) cumulative CO2 storage, (d) cumulative water injection, (e) oil production rate, (f) cumulative oil production, (g) cumulative CH4 production, and (h) CO2 breakthrough time. The Morrow reservoir at the Farnsworth Unit (FWU) site, Texas, is used as an example for studying the multi-scale statistical approach for CO2 accounting and risk analysis. A set of geostatistical-based MC simulations of CO2-oil/gas-water flow and transport in the Morrow formation are conducted for evaluating 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.},
doi = {10.1016/j.egypro.2017.08.034},
journal = {Energy Procedia},
number = C,
volume = 114,
place = {United States},
year = {2017},
month = {8}
}