skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Application of the Aquifer Impact Model to support decisions at a CO 2 sequestration site: Modeling and Analysis: Application of the Aquifer Impact Model to support decisions at a CO 2

Abstract

The National Risk Assessment Partnership (NRAP) has developed a suite of tools to assess and manage risk at CO2 sequestration sites (1). The NRAP tool suite includes the Aquifer Impact Model (AIM), based on reduced order models developed using site-specific data from two aquifers (alluvium and carbonate). The models accept aquifer parameters as a range of variable inputs so they may have more broad applicability. Guidelines have been developed for determining the aquifer types for which the ROMs should be applicable. This paper considers the applicability of the aquifer models in AIM to predicting the impact of CO2 or Brine leakage were it to occur at the Illinois Basin Decatur Project (IBDP). Based on the results of the sensitivity analysis, the hydraulic parameters and leakage source term magnitude are more sensitive than clay fraction or cation exchange capacity. Sand permeability was the only hydraulic parameter measured at the IBDP site. More information on the other hydraulic parameters, such as sand fraction and sand/clay correlation lengths, could reduce uncertainty in risk estimates. Some non-adjustable parameters, such as the initial pH and TDS and the pH no-impact threshold, are significantly different for the ROM than for the observations at the IBDP site.more » The reduced order model could be made more useful to a wider range of sites if the initial conditions and no-impact threshold values were adjustable parameters.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3];  [4];  [2];  [4];  [2]; ORCiD logo [5];  [2];  [2]
  1. Pacific Northwest National Laboratory, Richland WA USA
  2. University of Illinois, Illinois State Geological Survey Champaign IL USA
  3. Los Alamos National Laboratory, Los Alamos NM USA
  4. Lawrence Livermore National Laboratory, Livermore CA USA
  5. Lawrence Berkeley National Laboratory, Berkeley CA USA
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1414519
Report Number(s):
LLNL-JRNL-738821; PNNL‐SA-‐124662; PNNL-17-60716
Journal ID: ISSN 2152-3878; AA7020000
DOE Contract Number:
AC52-07NA27344; FC26‐05NT42588; AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Greenhouse Gases: Science and Technology; Journal Volume: 7; Journal Issue: 6
Country of Publication:
United States
Language:
English
Subject:
aquifer; carbon sequestration; geochemical reaction modeling; CO2 and brine leakage

Citation Formats

Bacon, Diana Holford, Locke II, Randall A., Keating, Elizabeth, Carroll, Susan, Iranmanesh, Abbas, Mansoor, Kayyum, Wimmer, Bracken, Zheng, Liange, Shao, Hongbo, and Greenberg, Sallie E.. Application of the Aquifer Impact Model to support decisions at a CO 2 sequestration site: Modeling and Analysis: Application of the Aquifer Impact Model to support decisions at a CO 2. United States: N. p., 2017. Web. doi:10.1002/ghg.1730.
Bacon, Diana Holford, Locke II, Randall A., Keating, Elizabeth, Carroll, Susan, Iranmanesh, Abbas, Mansoor, Kayyum, Wimmer, Bracken, Zheng, Liange, Shao, Hongbo, & Greenberg, Sallie E.. Application of the Aquifer Impact Model to support decisions at a CO 2 sequestration site: Modeling and Analysis: Application of the Aquifer Impact Model to support decisions at a CO 2. United States. doi:10.1002/ghg.1730.
Bacon, Diana Holford, Locke II, Randall A., Keating, Elizabeth, Carroll, Susan, Iranmanesh, Abbas, Mansoor, Kayyum, Wimmer, Bracken, Zheng, Liange, Shao, Hongbo, and Greenberg, Sallie E.. Wed . "Application of the Aquifer Impact Model to support decisions at a CO 2 sequestration site: Modeling and Analysis: Application of the Aquifer Impact Model to support decisions at a CO 2". United States. doi:10.1002/ghg.1730.
@article{osti_1414519,
title = {Application of the Aquifer Impact Model to support decisions at a CO 2 sequestration site: Modeling and Analysis: Application of the Aquifer Impact Model to support decisions at a CO 2},
author = {Bacon, Diana Holford and Locke II, Randall A. and Keating, Elizabeth and Carroll, Susan and Iranmanesh, Abbas and Mansoor, Kayyum and Wimmer, Bracken and Zheng, Liange and Shao, Hongbo and Greenberg, Sallie E.},
abstractNote = {The National Risk Assessment Partnership (NRAP) has developed a suite of tools to assess and manage risk at CO2 sequestration sites (1). The NRAP tool suite includes the Aquifer Impact Model (AIM), based on reduced order models developed using site-specific data from two aquifers (alluvium and carbonate). The models accept aquifer parameters as a range of variable inputs so they may have more broad applicability. Guidelines have been developed for determining the aquifer types for which the ROMs should be applicable. This paper considers the applicability of the aquifer models in AIM to predicting the impact of CO2 or Brine leakage were it to occur at the Illinois Basin Decatur Project (IBDP). Based on the results of the sensitivity analysis, the hydraulic parameters and leakage source term magnitude are more sensitive than clay fraction or cation exchange capacity. Sand permeability was the only hydraulic parameter measured at the IBDP site. More information on the other hydraulic parameters, such as sand fraction and sand/clay correlation lengths, could reduce uncertainty in risk estimates. Some non-adjustable parameters, such as the initial pH and TDS and the pH no-impact threshold, are significantly different for the ROM than for the observations at the IBDP site. The reduced order model could be made more useful to a wider range of sites if the initial conditions and no-impact threshold values were adjustable parameters.},
doi = {10.1002/ghg.1730},
journal = {Greenhouse Gases: Science and Technology},
number = 6,
volume = 7,
place = {United States},
year = {Wed Oct 04 00:00:00 EDT 2017},
month = {Wed Oct 04 00:00:00 EDT 2017}
}