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Title: Model Components of the Certification Framework for Geologic Carbon Sequestration Risk Assessment

Abstract

We have developed a framework for assessing the leakage risk of geologic carbon sequestration sites. This framework, known as the Certification Framework (CF), emphasizes wells and faults as the primary potential leakage conduits. Vulnerable resources are grouped into compartments, and impacts due to leakage are quantified by the leakage flux or concentrations that could potentially occur in compartments under various scenarios. The CF utilizes several model components to simulate leakage scenarios. One model component is a catalog of results of reservoir simulations that can be queried to estimate plume travel distances and times, rather than requiring CF users to run new reservoir simulations for each case. Other model components developed for the CF and described here include fault characterization using fault-population statistics; fault connection probability using fuzzy rules; well-flow modeling with a drift-flux model implemented in TOUGH2; and atmospheric dense-gas dispersion using a mesoscale weather prediction code.

Authors:
; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Earth Sciences Division
OSTI Identifier:
965373
Report Number(s):
LBNL-2038E
TRN: US200920%%581
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Book
Country of Publication:
United States
Language:
English
Subject:
54; CARBON SEQUESTRATION; COMPARTMENTS; FORECASTING; PLUMES; PROBABILITY; RISK ASSESSMENT; SIMULATION; STATISTICS; WEATHER

Citation Formats

Oldenburg, Curtis M, Bryant, Steven L, Nicot, Jean-Philippe, Kumar, Navanit, Zhang, Yingqi, Jordan, Preston, Pan, Lehua, Granvold, Patrick, and Chow, Fotini K. Model Components of the Certification Framework for Geologic Carbon Sequestration Risk Assessment. United States: N. p., 2009. Web.
Oldenburg, Curtis M, Bryant, Steven L, Nicot, Jean-Philippe, Kumar, Navanit, Zhang, Yingqi, Jordan, Preston, Pan, Lehua, Granvold, Patrick, & Chow, Fotini K. Model Components of the Certification Framework for Geologic Carbon Sequestration Risk Assessment. United States.
Oldenburg, Curtis M, Bryant, Steven L, Nicot, Jean-Philippe, Kumar, Navanit, Zhang, Yingqi, Jordan, Preston, Pan, Lehua, Granvold, Patrick, and Chow, Fotini K. 2009. "Model Components of the Certification Framework for Geologic Carbon Sequestration Risk Assessment". United States. https://www.osti.gov/servlets/purl/965373.
@article{osti_965373,
title = {Model Components of the Certification Framework for Geologic Carbon Sequestration Risk Assessment},
author = {Oldenburg, Curtis M and Bryant, Steven L and Nicot, Jean-Philippe and Kumar, Navanit and Zhang, Yingqi and Jordan, Preston and Pan, Lehua and Granvold, Patrick and Chow, Fotini K},
abstractNote = {We have developed a framework for assessing the leakage risk of geologic carbon sequestration sites. This framework, known as the Certification Framework (CF), emphasizes wells and faults as the primary potential leakage conduits. Vulnerable resources are grouped into compartments, and impacts due to leakage are quantified by the leakage flux or concentrations that could potentially occur in compartments under various scenarios. The CF utilizes several model components to simulate leakage scenarios. One model component is a catalog of results of reservoir simulations that can be queried to estimate plume travel distances and times, rather than requiring CF users to run new reservoir simulations for each case. Other model components developed for the CF and described here include fault characterization using fault-population statistics; fault connection probability using fuzzy rules; well-flow modeling with a drift-flux model implemented in TOUGH2; and atmospheric dense-gas dispersion using a mesoscale weather prediction code.},
doi = {},
url = {https://www.osti.gov/biblio/965373}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jun 01 00:00:00 EDT 2009},
month = {Mon Jun 01 00:00:00 EDT 2009}
}

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