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Title: Development of quantitative metrics of plume migration at geologic CO 2 storage sites

Abstract

We develop plume migration metrics based on spatial moment analysis methods that quantify the spatio–temporal evolution of plumes at geologic CO 2 storage sites. The metrics are generalized to handle any 3–D scalar attribute field values. Within the geologic CO 2 storage context, these can be parameters such as CO 2 saturation, effective pressure, overpressure, dissolved CO 2 concentration, total dissolved solids, pH, and other attributes that are critical for assessing risks. Here, the metrics are comprehensive in that they can effectively handle and account for complex continuous and discontinuous plumes and intra–plume migration. We demonstrate the metrics on simulated CO 2 plumes injected into flat and tilted reservoirs with homogeneous and heterogeneous permeability fields. Using these idealized reservoir scenarios, we demonstrate the information that the metrics extract, showing that the metrics elucidate nuances in plume migration not apparent by standard approaches to the scalar fields values.

Authors:
ORCiD logo [1];  [2]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Computational Earth Science, Earth & Environmental Sciences Div.
  2. Texas A&M Univ., College Station, TX (United States). Dept. of Petroleum Engineering
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1571599
Alternate Identifier(s):
OSTI ID: 1542674
Report Number(s):
LA-UR-19-23618
Journal ID: ISSN 2152-3878
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Accepted Manuscript
Journal Name:
Greenhouse Gases: Science and Technology
Additional Journal Information:
Journal Volume: 9; Journal Issue: 4; Journal ID: ISSN 2152-3878
Publisher:
Society of Chemical Industry, Wiley
Country of Publication:
United States
Language:
English
Subject:
03 NATURAL GAS; Earth Sciences; carbon dioxide; geologic sequestration; Geologic CO2 storage risks; PISC; plume stability; plume metrics

Citation Formats

Harp, Dylan, Onishi, Tsubasa, Chu, Shaoping, Chen, Bailian, and Pawar, Rajesh J. Development of quantitative metrics of plume migration at geologic CO2 storage sites. United States: N. p., 2019. Web. doi:10.1002/ghg.1903.
Harp, Dylan, Onishi, Tsubasa, Chu, Shaoping, Chen, Bailian, & Pawar, Rajesh J. Development of quantitative metrics of plume migration at geologic CO2 storage sites. United States. doi:10.1002/ghg.1903.
Harp, Dylan, Onishi, Tsubasa, Chu, Shaoping, Chen, Bailian, and Pawar, Rajesh J. Tue . "Development of quantitative metrics of plume migration at geologic CO2 storage sites". United States. doi:10.1002/ghg.1903.
@article{osti_1571599,
title = {Development of quantitative metrics of plume migration at geologic CO2 storage sites},
author = {Harp, Dylan and Onishi, Tsubasa and Chu, Shaoping and Chen, Bailian and Pawar, Rajesh J.},
abstractNote = {We develop plume migration metrics based on spatial moment analysis methods that quantify the spatio–temporal evolution of plumes at geologic CO2 storage sites. The metrics are generalized to handle any 3–D scalar attribute field values. Within the geologic CO2 storage context, these can be parameters such as CO2 saturation, effective pressure, overpressure, dissolved CO2 concentration, total dissolved solids, pH, and other attributes that are critical for assessing risks. Here, the metrics are comprehensive in that they can effectively handle and account for complex continuous and discontinuous plumes and intra–plume migration. We demonstrate the metrics on simulated CO2 plumes injected into flat and tilted reservoirs with homogeneous and heterogeneous permeability fields. Using these idealized reservoir scenarios, we demonstrate the information that the metrics extract, showing that the metrics elucidate nuances in plume migration not apparent by standard approaches to the scalar fields values.},
doi = {10.1002/ghg.1903},
journal = {Greenhouse Gases: Science and Technology},
number = 4,
volume = 9,
place = {United States},
year = {2019},
month = {7}
}

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