Great 𝑆𝐶𝑂₂𝑇! Rapid Tool for Geologic Carbon Sequestration Science, Engineering, and Economics

4 Pages Posted: 24 Mar 2021

See all articles by Richard Middleton

Richard Middleton

Carbon Solutions LLC

Jeffrey Bielicki

Ohio State University (OSU) - Department of Civil, Environmental and Geodetic Engineering; Ohio State University (OSU) - John Glenn School of Public Affairs

Bailian Chen

Research Scientist

Kevin Ellett

Indiana University Bloomington - Indiana Geological and Water Survey

Dylan Harp

Government of the United States of America - Los Alamos National Laboratory

Ryan Kammer

Indiana University; Indiana University Bloomington - Indiana Geological and Water Survey

Jonathan Ogland-Hand

Ohio State University (OSU)

Date Written: March 24, 2021

Abstract

deployed in coming decades in response to major climate and economic drivers: CCS is a central part of every major climate policy that limits global warming to 2°C or less, and is eligible for significant CO2 tax credits in the United States. These drivers are likely to stimulate capture, transport, and storage of hundreds of millions or billions of tonnes of CO2 annually. A key part of the CCS puzzle will be identifying and characterizing suitable site-scale geologic storage sites for vast amounts of CO2 (Figure 1). We recently developed a new approach to rapidly characterize the physical and economic performance of geologic storage reservoirs using a fast-running, open-source tool called SCO2T (Sequestration of CO2 Tool, pronounced “Scott”). SCO2T can rapidly screen hundreds of thousands of reservoirs, perform sensitivity and uncertainty analyses, and link sequestration engineering (injection rates, reservoir capacities, plume dimensions) to sequestration economics (total costs derived from more than 70 separate economic inputs). SCO2T has been further developed and commercialized by CARBON SOLUTIONS LLC (CARBON SOLUTIONS) to include new and advanced features such as supply-curve generation, dynamic injection and storage over multiple time periods, and monitoring and post-injection site care (PISC) costs. The new software is called SCO2TPRO.

Keywords: 𝑆𝐶𝑂₂𝑇; carbon sequestration; machine learning; reduced-order models (ROMs); 𝘚𝘪𝘮𝘊𝘊𝘚

Suggested Citation

Middleton, Richard and Bielicki, Jeffrey and Chen, Bailian and Ellett, Kevin and Harp, Dylan and Kammer, Ryan and Ogland-Hand, Jonathan, Great 𝑆𝐶𝑂₂𝑇! Rapid Tool for Geologic Carbon Sequestration Science, Engineering, and Economics (March 24, 2021). Proceedings of the 15th Greenhouse Gas Control Technologies Conference 15-18 March 2021, Available at SSRN: https://ssrn.com/abstract=3811396

Richard Middleton (Contact Author)

Carbon Solutions LLC ( email )

820 S Henderson St
Bloomington, IN 47401
United States
47401 (Fax)

HOME PAGE: http://https://www.carbonsolutionsllc.com/

Jeffrey Bielicki

Ohio State University (OSU) - Department of Civil, Environmental and Geodetic Engineering ( email )

2070 Neil Avenue, OH 43210
United States

Ohio State University (OSU) - John Glenn School of Public Affairs ( email )

110 Page Hall
1810 College Road
Columbus, OH 43210
United States

Bailian Chen

Research Scientist ( email )

Los Alamos, NM 87545
United States

Kevin Ellett

Indiana University Bloomington - Indiana Geological and Water Survey

420 N. Walnut St.
Bloomington, IN 47404
United States

Dylan Harp

Government of the United States of America - Los Alamos National Laboratory ( email )

Los Alamos, NM 87545
United States

Ryan Kammer

Indiana University ( email )

107 S Indiana Ave
100 South Woodlawn
Bloomington, IN 47405
United States

Indiana University Bloomington - Indiana Geological and Water Survey ( email )

420 N. Walnut St.
Bloomington, IN 47404
United States

Jonathan Ogland-Hand

Ohio State University (OSU) ( email )

Blankenship Hall-2010
901 Woody Hayes Drive
Columbus, OH OH 43210
United States

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