Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) User’s Manual: Python_V5.0

Technical Report ·
DOI:https://doi.org/10.2172/2331225· OSTI ID:2331225
 [1];  [1];  [1]
  1. National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
+ Show Author Affiliations

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 5.0 version which is based in Python. The 5.0 version of CO2-SCREEN adds in newly updated storage efficiency factors for saline formations for open storage reservoirs and new capability to calculate CO2 storage in closed and semi-closed storage reservoirs.

Research Organization:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE)
OSTI ID:
2331225
Report Number(s):
DOE/NETL--2024/4801
Country of Publication:
United States
Language:
English

References (2)

Numerical Simulations of Carbon Dioxide Storage Efficiency in Heterogeneous Reservoir Models journal June 2023
A method for quick assessment of CO2 storage capacity in closed and semi-closed saline formations journal October 2008

Similar Records

CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) User’s Manual: Python_V4.1
Technical Report · Fri Apr 08 00:00:00 EDT 2022 · OSTI ID:1862020
CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) User’s Manual
Technical Report · Fri May 08 00:00:00 EDT 2020 · OSTI ID:1617640
CO₂ Storage prospeCtive Resource Estimation Excel aNalysis (CO₂-SCREEN) User’s Manual
Technical Report · Fri May 08 00:00:00 EDT 2020 · OSTI ID:1617697

Related Subjects

58 GEOSCIENCES