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Title: Enhanced Analytical Simulation Tool (EASiTool) for CO 2 Storage Capacity Estimation and Uncertainty Quantification

Abstract

An enhanced analytical simulation tool (EASiTool) was developed to estimate CO 2 storage capacity in saline aquifers. The tool provides a quantitative estimate of storage capacity for multi-well injection/extraction systems by applying novel analytical models for both closed- and open-boundary saline aquifers and analyzes the potential of enhancing storage efficiency by integrating active brine management (brine extraction technology). Brine extraction would enhance the storage capacity and partially control the pressure buildup. EASiTool includes a user-friendly interface and can be used to provide reservoir and basin-scale storage capacity estimates.

Authors:
 [1];  [1];  [2]
  1. The University of Texas at Austin, TX (United States)
  2. Univ. of Nebraska, Lincoln, NE (United States)
Publication Date:
Research Org.:
The University of Texas at Austin, TX (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1463329
DOE Contract Number:  
FE0009301
Resource Type:
Technical Report
Resource Relation:
Related Information: Ganjdanesh, R. and Hosseini, S.A., 2018, Development of an analytical simulation tool for storage capacity estimation of saline aquifers, International Journal of Greenhouse Gases Control, 74, p.142-154, https://doi.org/10.1016/j.ijggc.2018.04.017Kim, S., and Hosseini, S. A., 2017, Study on the ratio of pore-pressure/stress changes during fluid injection and its implications for CO2 geologic storage: Journal of Petroleum Science and Engineering, v. 149, p. 138-150, http://doi.org/10.1016/j.petrol.2016.10.037.Kim, S., and Hosseini, S. A., 2015, Hydro-thermo-mechanical analysis during injection of cold fluid into a geologic formation: International Journal of Rock Mechanics & Mining Sciences, v. 77, p. 220-236, http://doi.org/10.1016/j.ijrmms.2015.04.010.Ganjdanesh, R., and Hosseini, S. A., 2017, Geologic carbon storage capacity estimation using Enhanced Analytical Simulation Tool (EASiTool): Energy Procedia, v. 114, p. 4690-4696, http://doi.org/10.1016/j.egypro.2017.03.1601.Kim, S, and Hosseini, S. A., 2014, Geological CO2 storage: incorporation of pore-pressure/stress coupling and thermal effects to determine maximum sustainable pressure limit: Energy Procedia, v. 63, p. 3339-3346, http://doi.org/10.1016/j.egypro.2014.11.362
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Hosseini, Seyyed A., Ganjdanesh, Reza, and Kim, Seunghee. Enhanced Analytical Simulation Tool (EASiTool) for CO2 Storage Capacity Estimation and Uncertainty Quantification. United States: N. p., 2018. Web. doi:10.2172/1463329.
Hosseini, Seyyed A., Ganjdanesh, Reza, & Kim, Seunghee. Enhanced Analytical Simulation Tool (EASiTool) for CO2 Storage Capacity Estimation and Uncertainty Quantification. United States. doi:10.2172/1463329.
Hosseini, Seyyed A., Ganjdanesh, Reza, and Kim, Seunghee. Thu . "Enhanced Analytical Simulation Tool (EASiTool) for CO2 Storage Capacity Estimation and Uncertainty Quantification". United States. doi:10.2172/1463329. https://www.osti.gov/servlets/purl/1463329.
@article{osti_1463329,
title = {Enhanced Analytical Simulation Tool (EASiTool) for CO2 Storage Capacity Estimation and Uncertainty Quantification},
author = {Hosseini, Seyyed A. and Ganjdanesh, Reza and Kim, Seunghee},
abstractNote = {An enhanced analytical simulation tool (EASiTool) was developed to estimate CO2 storage capacity in saline aquifers. The tool provides a quantitative estimate of storage capacity for multi-well injection/extraction systems by applying novel analytical models for both closed- and open-boundary saline aquifers and analyzes the potential of enhancing storage efficiency by integrating active brine management (brine extraction technology). Brine extraction would enhance the storage capacity and partially control the pressure buildup. EASiTool includes a user-friendly interface and can be used to provide reservoir and basin-scale storage capacity estimates.},
doi = {10.2172/1463329},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {4}
}