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CO2-SCREEN

10.18141/1719097

CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) is a tool which was developed by the Department of Energy’s National Energy Technology Laboratory (DOE-NETL) to screen saline formations for prospective CO2 storage resources. CO2-SCREEN applies U.S. DOE methods and equations for estimating prospective CO2 storage resources for saline formations. This provides a dependable method for calculating prospective CO2 storage resources which allows for consistent comparison of results between different research efforts. CO2-SCREEN latest version (v5.0) is a python application that utilizes a Java front end user interface. The 3.0 version consists of an Excel spreadsheet containing geologic inputs and outputs, linked to a GoldSim Player model that calculates prospective CO2 storage resources via Monte Carlo simulation.

https://www.youtube.com/watch?v=lhakk-HYfOI

Followers: 11

Authors

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Data and Resources

    Gathering Resources...

Keywords

OSTI Info

Field Value
Id 1b6e59e4-ac06-4a23-9a2c-64497460dd8a
Dataset Type AS
Contract Nos FE0004000
Org Research Org NETL
Language English
Country US
Sponsor Org USDOE Office of Fossil Energy (FE)
Site Url https://edx.netl.doe.gov/dataset/co2-screen
Contact Name Sean Sanguinito
Contact Org National Energy Technology Laboratory
Doi 10.18141/1719097

Additional Info

Field Value
Maintainer Angela Goodman
Last Updated April 12, 2024, 12:15 (LMT)
Created January 28, 2019, 10:44 (LMT)
AI/ML Product no
Citation Foad Haeri, Angela Goodman, Evgeniy Myshakin, CO2-SCREEN, 4/9/2024, https://edx.netl.doe.gov/dataset/co2-screen, DOI: 10.18141/1719097
Geospatial no
Netl Product yes
Osti yes
Poc Email dirk.link@netl.doe.gov
Point Of Contact Dirk Link
Program Or Project RIC
Project Number FE0004000
Tool Image Url https://edx.netl.doe.gov/edx-admin/upload/image/ecaff1a6-a967-4735-b5a5-3147a7702c13/CO2_SCREEN_Logo.png