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Title: Great SCOT! Rapid tool for carbon sequestration science, engineering, and economics

Abstract

CO2 capture and storage (CCS) technology is likely to be widely deployed in the coming decades in response to major climate and economics drivers: CCS is part of every clean energy pathway that limits global warming to 2 °C or less and receives significant CO2 tax credits in the United States. These drivers are likely to stimulate the 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 storage sites for vast amounts of CO2. We introduce a new software tool called SCO2T (Sequestration of CO2 Tool, pronounced “Scott”), a dynamic CO2 injection and storage model, to rapidly characterize saline storage reservoirs. The tool is designed to 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 (costs constructed from around 70 separate economic inputs). We describe the novel science developments supporting SCO2T including a new approach to estimating CO2 injection rates and CO2 plume dimensions as well as key advances linking sequestration engineering with economics. We perform a sensitivity and uncertainty analysis of geology parameter combinations—includingmore » formation depth, thickness, permeability, porosity, and temperature—to understand the impact on carbon sequestration. Through the sensitivity analysis, we show that increasing depth and permeability both can lead to increased CO2 injection rates, increased storage potential, and reduced costs, while increasing porosity reduces costs without impacting the injection rate (CO2 is injected at a constant pressure in all cases) by increasing the reservoir capacity. Through uncertainty analysis—where formation thickness, permeability, and porosity are randomly sampled—we show that final sequestration costs are normally distributed with upper bound costs around 50% higher than the lower bound costs. While site selection decisions will ultimately require detailed site characterization and permitting, SCO2T provides an inexpensive dynamic screening tool that can help prioritize projects based on the complex interplay of reservoir, infrastructure (e.g., proximity to pipelines), and other (e.g., land use, legal) constraints on the suitability of certain regions for CCS.« less

Authors:
ORCiD logo; ; ORCiD logo; ; ; ORCiD logo; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1650230
Alternate Identifier(s):
OSTI ID: 1657133
Report Number(s):
LA-UR-19-31754
Journal ID: ISSN 2590-1974; S2590197420300173; 100035; PII: S2590197420300173
Grant/Contract Number:  
FE-1017-18-FY18; FC26-05NT42591; PI0000017; 20190057DR; 89233218CNA000001; FE-1017-18-FY1; FE0031837
Resource Type:
Published Article
Journal Name:
Applied Computing and Geosciences
Additional Journal Information:
Journal Name: Applied Computing and Geosciences Journal Volume: 7 Journal Issue: C; Journal ID: ISSN 2590-1974
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; CO2 capture and storage; carbon sequestration; reduced order modeling; climate change; economics

Citation Formats

Middleton, Richard S., Chen, Bailian, Harp, Dylan R., Kammer, Ryan M., Ogland-Hand, Jonathan D., Bielicki, Jeffrey M., Clarens, Andres F., Currier, Robert P., Ellett, Kevin M., Hoover, Brendan A., McFarlane, Dane N., Pawar, Rajesh J., Stauffer, Philip H., Viswanathan, Hari S., and Yaw, Sean P. Great SCOT! Rapid tool for carbon sequestration science, engineering, and economics. United Kingdom: N. p., 2020. Web. doi:10.1016/j.acags.2020.100035.
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Middleton, Richard S., Chen, Bailian, Harp, Dylan R., Kammer, Ryan M., Ogland-Hand, Jonathan D., Bielicki, Jeffrey M., Clarens, Andres F., Currier, Robert P., Ellett, Kevin M., Hoover, Brendan A., McFarlane, Dane N., Pawar, Rajesh J., Stauffer, Philip H., Viswanathan, Hari S., & Yaw, Sean P. Great SCOT! Rapid tool for carbon sequestration science, engineering, and economics. United Kingdom. https://doi.org/10.1016/j.acags.2020.100035
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Middleton, Richard S., Chen, Bailian, Harp, Dylan R., Kammer, Ryan M., Ogland-Hand, Jonathan D., Bielicki, Jeffrey M., Clarens, Andres F., Currier, Robert P., Ellett, Kevin M., Hoover, Brendan A., McFarlane, Dane N., Pawar, Rajesh J., Stauffer, Philip H., Viswanathan, Hari S., and Yaw, Sean P. Tue . "Great SCOT! Rapid tool for carbon sequestration science, engineering, and economics". United Kingdom. https://doi.org/10.1016/j.acags.2020.100035.
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@article{osti_1650230,
title = {Great SCOT! Rapid tool for carbon sequestration science, engineering, and economics},
author = {Middleton, Richard S. and Chen, Bailian and Harp, Dylan R. and Kammer, Ryan M. and Ogland-Hand, Jonathan D. and Bielicki, Jeffrey M. and Clarens, Andres F. and Currier, Robert P. and Ellett, Kevin M. and Hoover, Brendan A. and McFarlane, Dane N. and Pawar, Rajesh J. and Stauffer, Philip H. and Viswanathan, Hari S. and Yaw, Sean P.},
abstractNote = {CO2 capture and storage (CCS) technology is likely to be widely deployed in the coming decades in response to major climate and economics drivers: CCS is part of every clean energy pathway that limits global warming to 2 °C or less and receives significant CO2 tax credits in the United States. These drivers are likely to stimulate the 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 storage sites for vast amounts of CO2. We introduce a new software tool called SCO2T (Sequestration of CO2 Tool, pronounced “Scott”), a dynamic CO2 injection and storage model, to rapidly characterize saline storage reservoirs. The tool is designed to 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 (costs constructed from around 70 separate economic inputs). We describe the novel science developments supporting SCO2T including a new approach to estimating CO2 injection rates and CO2 plume dimensions as well as key advances linking sequestration engineering with economics. We perform a sensitivity and uncertainty analysis of geology parameter combinations—including formation depth, thickness, permeability, porosity, and temperature—to understand the impact on carbon sequestration. Through the sensitivity analysis, we show that increasing depth and permeability both can lead to increased CO2 injection rates, increased storage potential, and reduced costs, while increasing porosity reduces costs without impacting the injection rate (CO2 is injected at a constant pressure in all cases) by increasing the reservoir capacity. Through uncertainty analysis—where formation thickness, permeability, and porosity are randomly sampled—we show that final sequestration costs are normally distributed with upper bound costs around 50% higher than the lower bound costs. While site selection decisions will ultimately require detailed site characterization and permitting, SCO2T provides an inexpensive dynamic screening tool that can help prioritize projects based on the complex interplay of reservoir, infrastructure (e.g., proximity to pipelines), and other (e.g., land use, legal) constraints on the suitability of certain regions for CCS.},
doi = {10.1016/j.acags.2020.100035},
journal = {Applied Computing and Geosciences},
number = C,
volume = 7,
place = {United Kingdom},
year = {Tue Sep 01 00:00:00 EDT 2020},
month = {Tue Sep 01 00:00:00 EDT 2020}
}
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https://doi.org/10.1016/j.acags.2020.100035
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