skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: NETL CO 2 Storage prospeCtive Resource Estimation Excel aNalysis (CO 2-SCREEN) User's Manual

Abstract

This user’s manual guides the use of the National Energy Technology Laboratory’s (NETL) CO 2 Storage prospeCtive Resource Estimation Excel aNalysis (CO 2-SCREEN) tool, which was developed to aid users screening saline formations for prospective CO 2 storage resources. CO 2- SCREEN applies U.S. Department of Energy (DOE) methods and equations for estimating prospective CO 2 storage resources for saline formations. CO2-SCREEN was developed to be substantive and user-friendly. It also provides a consistent method for calculating prospective CO 2 storage resources that allows for consistent comparison of results between different research efforts, such as the Regional Carbon Sequestration Partnerships (RCSP). CO 2-SCREEN consists of an Excel spreadsheet containing geologic inputs and outputs, linked to a GoldSim Player model that calculates prospective CO 2 storage resources via Monte Carlo simulation.

Authors:
 [1];  [1];  [1]
  1. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
Publication Date:
Research Org.:
National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1361516
Report Number(s):
NETL-PUB-20299
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Storage Resources; Carbon Dioxide; Saline Formations; Tool

Citation Formats

Sanguinito, Sean M., Goodman, Angela, and Levine, Jonathan. NETL CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) User's Manual. United States: N. p., 2017. Web. doi:10.2172/1361516.
Sanguinito, Sean M., Goodman, Angela, & Levine, Jonathan. NETL CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) User's Manual. United States. doi:10.2172/1361516.
Sanguinito, Sean M., Goodman, Angela, and Levine, Jonathan. Mon . "NETL CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) User's Manual". United States. doi:10.2172/1361516. https://www.osti.gov/servlets/purl/1361516.
@article{osti_1361516,
title = {NETL CO2 Storage prospeCtive Resource Estimation Excel aNalysis (CO2-SCREEN) User's Manual},
author = {Sanguinito, Sean M. and Goodman, Angela and Levine, Jonathan},
abstractNote = {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 saline formations for prospective CO2 storage resources. CO2- SCREEN applies U.S. Department of Energy (DOE) methods and equations for estimating prospective CO2 storage resources for saline formations. CO2-SCREEN was developed to be substantive and user-friendly. It also provides a consistent method for calculating prospective CO2 storage resources that allows for consistent comparison of results between different research efforts, such as the Regional Carbon Sequestration Partnerships (RCSP). CO2-SCREEN 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.},
doi = {10.2172/1361516},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Apr 03 00:00:00 EDT 2017},
month = {Mon Apr 03 00:00:00 EDT 2017}
}

Technical Report:

Save / Share:
  • Carbon storage resource estimation in subsurface saline formations plays an important role in establishing the scale of carbon capture and storage activities for governmental policy and commercial project decision-making. Prospective CO 2 resource estimation of large regions or subregions, such as a basin, occurs at the initial screening stages of a project using only limited publicly available geophysical data, i.e. prior to project-specific site selection data generation. As the scale of investigation is narrowed and selected areas and formations are identified, prospective CO 2 resource estimation can be refined and uncertainty narrowed when site-specific geophysical data are available. Here, wemore » refine the United States Department of Energy – National Energy Technology Laboratory (US-DOE-NETL) methodology as the scale of investigation is narrowed from very large regional assessments down to selected areas and formations that may be developed for commercial storage. In addition, we present a new notation that explicitly identifies differences between data availability and data sources used for geologic parameters and efficiency factors as the scale of investigation is narrowed. This CO 2 resource estimation method is available for screening formations in a tool called CO 2-SCREEN.« less
  • While the majority of shale formations will serve as reservoir seals for stored anthropogenic carbon dioxide (CO2), hydrocarbon-bearing shale formations may be potential geologic sinks after depletion through primary production. Here in this paper we present the United States-Department of Energy-National Energy Technology Laboratory (US-DOE-NETL) methodology for screening-level assessment of prospective CO 2 storage resources in shale using a volumetric equation. Volumetric resource estimates are produced from the bulk volume, porosity, and sorptivity of the shale and storage efficiency factors based on formation-scale properties and petrophysical limitations on fluid transport. Prospective shale formations require: (1) prior hydrocarbon production using horizontalmore » drilling and stimulation via staged, high-volume hydraulic fracturing, (2) depths sufficient to maintain CO 2 in a supercritical state, generally >800 m, and (3) an overlying seal. The US-DOE-NETL methodology accounts for storage of CO 2 in shale as a free fluid phase within fractures and matrix pores and as an sorbed phase on organic matter and clays. Uncertainties include but are not limited to poorly-constrained geologic variability in formation thickness, porosity, existing fluid content, organic richness, and mineralogy. Knowledge of how these parameters may be linked to depositional environments, facies, and diagenetic history of the shale will improve the understanding of pore-to-reservoir scale behavior, and provide improved estimates of prospective CO 2 storage.« less
  • Cited by 4