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:1617697

Sanguinito, Sean ^[1]; Goodman, Angela L. ^[2]; Haeri, Foad ^[1]

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1. National Energy Technology Lab. (NETL), Pittsburgh, PA (United States). Leidos Research Support Team
2. 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: 1617697
• Report Number(s): DOE/NETL--2020/2133
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
58 GEOSCIENCES
97 MATHEMATICS AND COMPUTING
CO2 Storage
Carbon Storage
Geologic Formations
Residual Oil Zones
Saline Formations
Shale Formations