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Title: Reservoir Engineering Optimization Strategies for Subsurface CO{sub 2} Storage

Abstract

The purpose of this report is to outline a methodology for calculating the optimum number of injection wells for geologic CCS. The methodology is intended primarily for reservoir pressure management, and factors in cost as well. Efficiency may come in many forms depending on project goals; therefore, various results are presented simultaneously. The developed methodology is illustrated via application in a case study of the Rocky Mountain Carbon Capture and Storage (RMCCS) project, including a CCS candidate site near Craig, Colorado, USA. The forecasting method provided reasonable estimates of cost and injection volume when compared to simulated results.

Authors:
;
Publication Date:
Research Org.:
Univ. of Utah, Salt Lake City, UT (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1134753
DOE Contract Number:  
FE0001812
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Mclntire, Blayde, and McPherson, Brian. Reservoir Engineering Optimization Strategies for Subsurface CO{sub 2} Storage. United States: N. p., 2013. Web. doi:10.2172/1134753.
Mclntire, Blayde, & McPherson, Brian. Reservoir Engineering Optimization Strategies for Subsurface CO{sub 2} Storage. United States. https://doi.org/10.2172/1134753
Mclntire, Blayde, and McPherson, Brian. 2013. "Reservoir Engineering Optimization Strategies for Subsurface CO{sub 2} Storage". United States. https://doi.org/10.2172/1134753. https://www.osti.gov/servlets/purl/1134753.
@article{osti_1134753,
title = {Reservoir Engineering Optimization Strategies for Subsurface CO{sub 2} Storage},
author = {Mclntire, Blayde and McPherson, Brian},
abstractNote = {The purpose of this report is to outline a methodology for calculating the optimum number of injection wells for geologic CCS. The methodology is intended primarily for reservoir pressure management, and factors in cost as well. Efficiency may come in many forms depending on project goals; therefore, various results are presented simultaneously. The developed methodology is illustrated via application in a case study of the Rocky Mountain Carbon Capture and Storage (RMCCS) project, including a CCS candidate site near Craig, Colorado, USA. The forecasting method provided reasonable estimates of cost and injection volume when compared to simulated results.},
doi = {10.2172/1134753},
url = {https://www.osti.gov/biblio/1134753}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Sep 30 00:00:00 EDT 2013},
month = {Mon Sep 30 00:00:00 EDT 2013}
}