CO₂ Storage prospeCtive Resource Estimation Excel aNalysis (CO₂-SCREEN) User’s Manual

Technical Report · Fri May 08 00:00:00 EDT 2020

DOI:https://doi.org/10.2172/1617640· OSTI ID:1617640

Sanguinito, Sean ^[1]; Goodman, Angela L. ^[1]; Haeri, Foad ^[1]

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1. National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)

This user’s manual guides the use of the National Energy Technology Laboratory’s (NETL) CO₂ Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) tool, which was developed to aid users screening geologic formations for prospective CO₂ storage resources. This manual is specific to the CO₂-SCREEN 4.0 version which is based in Python. CO₂-SCREEN applies U.S. Department of Energy (DOE) methods and equations for estimating prospective CO₂ storage resources for saline formations, shale formations, and residual oil zones (ROZ). CO₂-SCREEN was developed to be substantive and user-friendly and provide a consistent method for calculating prospective CO2 storage resources. CO₂-SCREEN uses a Java based graphical user interface for data inputs and uses Python to calculate prospective CO₂ storage resources.

• Research Organization: National Energy Technology Lab. (NETL), Pittsburgh, PA (United States)
• Sponsoring Organization: USDOE Office of Fossil Energy (FE)
• DOE Contract Number: 89243318CFE000003
• OSTI ID: 1617640
• Report Number(s): DOE/NETL-2020/2133
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
58 GEOSCIENCES
54 ENVIRONMENTAL SCIENCES