CO2 Enhanced Oil Recovery Evaluation System (CO2_E_EvSystem), Version 2025

Jonathan Morgan, David; Remson, Donald; McGuire, Thomas; Guinan, Allison; Vikara, Derek; Cunha, Luciane; Mark-Moser, MacKenzie

doi:10.18141/2998650

Title: CO2 Enhanced Oil Recovery Evaluation System (CO2_E_EvSystem), Version 2025

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Abstract

The United States Department of Energy’s (DOE’s) Office of Fossil Energy and the National Energy Technology Laboratory (NETL) developed a suite of screening-level, techno-economic models/tools, known as the CO2_E_EvSystem, to evaluate technical aspects and costs of using carbon dioxide (CO2) enhanced oil recovery (EOR) to store CO2 and produce oil. CO2_E_EvSystem has three software components and several input and output files. The software components are CO2_E_EvTool, CO2_Prophet, and CO2_E_COM. Almost all computational work is performed by CO2_Prophet and CO2_E_COM, which are both Fortran programs. The primary role of CO2_E_EvTool is to manage input and output files for the two programs, run the two programs, allow multiple oilfields to be evaluated in a single run, and generate files that summarize the results for all the oilfields run. This version of the CO2_E_EvSystem includes a residual oil zone dataset from the San Andres formation, Permian Basin, to demonstrate the system and guide users on attributes needed for dataset inputs.

Authors:

Jonathan Morgan, David; Remson, Donald; McGuire, Thomas; Guinan, Allison; Vikara, Derek; Cunha, Luciane; Mark-Moser, MacKenzie

National Energy Technology Laboratory

Publication Date:: Mon Oct 20 04:00:00 UTC 2025

Research Org.:: NETL

Sponsoring Org.:: USDOE Office of Fossil Energy (FE)

Subject:: AS; Enhanced Oil Recovery; co2 eor; technoeconomic; technoeconomic analysis

OSTI Identifier:: 2998650

DOI:: https://doi.org/10.18141/2998650

Citation Formats


                    Jonathan Morgan, David, Remson, Donald, McGuire, Thomas, Guinan, Allison, Vikara, Derek, Cunha, Luciane, and Mark-Moser, MacKenzie. CO2 Enhanced Oil Recovery Evaluation System (CO2_E_EvSystem), Version 2025.  United States: N. p., 2025. 
        Web.  doi:10.18141/2998650.

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                    Jonathan Morgan, David, Remson, Donald, McGuire, Thomas, Guinan, Allison, Vikara, Derek, Cunha, Luciane, & Mark-Moser, MacKenzie. CO2 Enhanced Oil Recovery Evaluation System (CO2_E_EvSystem), Version 2025.  United States.  doi:https://doi.org/10.18141/2998650

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                    Jonathan Morgan, David, Remson, Donald, McGuire, Thomas, Guinan, Allison, Vikara, Derek, Cunha, Luciane, and Mark-Moser, MacKenzie. 2025.  
"CO2 Enhanced Oil Recovery Evaluation System (CO2_E_EvSystem), Version 2025".  United States.  doi:https://doi.org/10.18141/2998650.  https://www.osti.gov/servlets/purl/2998650. Pub date:Mon Oct 20 04:00:00 UTC 2025

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@article{osti_2998650,

  title        = {CO2 Enhanced Oil Recovery Evaluation System (CO2_E_EvSystem), Version 2025},

  author       = {Jonathan Morgan, David and Remson, Donald and McGuire, Thomas and Guinan, Allison and Vikara, Derek and Cunha, Luciane and Mark-Moser, MacKenzie},

  abstractNote = {The United States Department of Energy’s (DOE’s) Office of Fossil Energy and the National Energy Technology Laboratory (NETL) developed a suite of screening-level, techno-economic models/tools, known as the CO2_E_EvSystem, to evaluate technical aspects and costs of using carbon dioxide (CO2) enhanced oil recovery (EOR) to store CO2 and produce oil. CO2_E_EvSystem has three software components and several input and output files. The software components are CO2_E_EvTool, CO2_Prophet, and CO2_E_COM. Almost all computational work is performed by CO2_Prophet and CO2_E_COM, which are both Fortran programs. The primary role of CO2_E_EvTool is to manage input and output files for the two programs, run the two programs, allow multiple oilfields to be evaluated in a single run, and generate files that summarize the results for all the oilfields run. This version of the CO2_E_EvSystem includes a residual oil zone dataset from the San Andres formation, Permian Basin, to demonstrate the system and guide users on attributes needed for dataset inputs.},

  doi          = {10.18141/2998650},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Oct 20 04:00:00 UTC 2025},

  month        = {Mon Oct 20 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.18141/2998650

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