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Title: The cost of getting CCS wrong: Uncertainty, infrastructure design, and stranded CO2

Abstract

Establishing an Early CO2 Storage Complex in Kemper County, Mississippi (ECO2S): Risks of Improper CCS

Authors:
ORCiD logo [1]; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Southern States Energy Board, Norcross, GA (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE), Clean Coal and Carbon Management
OSTI Identifier:
1417829
Alternate Identifier(s):
OSTI ID: 1469365
Report Number(s):
LA-UR-17-30479
Journal ID: ISSN 1750-5836
Grant/Contract Number:  
AC52-06NA25396; FE0029465
Resource Type:
Accepted Manuscript
Journal Name:
International Journal of Greenhouse Gas Control
Additional Journal Information:
Journal Volume: 70; Journal Issue: C; Journal ID: ISSN 1750-5836
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Earth Sciences

Citation Formats

Middleton, Richard Stephen, and Yaw, Sean Patrick. The cost of getting CCS wrong: Uncertainty, infrastructure design, and stranded CO2. United States: N. p., 2018. Web. doi:10.1016/j.ijggc.2017.12.011.
Middleton, Richard Stephen, & Yaw, Sean Patrick. The cost of getting CCS wrong: Uncertainty, infrastructure design, and stranded CO2. United States. https://doi.org/10.1016/j.ijggc.2017.12.011
Middleton, Richard Stephen, and Yaw, Sean Patrick. Thu . "The cost of getting CCS wrong: Uncertainty, infrastructure design, and stranded CO2". United States. https://doi.org/10.1016/j.ijggc.2017.12.011. https://www.osti.gov/servlets/purl/1417829.
@article{osti_1417829,
title = {The cost of getting CCS wrong: Uncertainty, infrastructure design, and stranded CO2},
author = {Middleton, Richard Stephen and Yaw, Sean Patrick},
abstractNote = {Establishing an Early CO2 Storage Complex in Kemper County, Mississippi (ECO2S): Risks of Improper CCS},
doi = {10.1016/j.ijggc.2017.12.011},
journal = {International Journal of Greenhouse Gas Control},
number = C,
volume = 70,
place = {United States},
year = {Thu Jan 11 00:00:00 EST 2018},
month = {Thu Jan 11 00:00:00 EST 2018}
}

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Cited by: 35 works
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Works referencing / citing this record:

Prediction of CO2 storage site integrity with rough set-based machine learning
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