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Title: Challenging Geostatistical Methods To Represent Heterogeneity in CO2 Reservoirs Under Residual Trapping

Abstract

Abstract Geostatistical methods based on two-point spatial-bivariate statistics have been used to model heterogeneity within computational studies of the dispersion of contaminants in groundwater reservoirs and the trapping of CO2 in geosequestration reservoirs. The ability of these methods to represent fluvial architecture, commonly occurring in such reservoirs, has been questioned. We challenged a widely used two-point spatial-bivariate statistical method to represent fluvial heterogeneity in the context of representing how reservoir heterogeneity affects residual trapping of CO2 injected for geosequestration. A more rigorous model for fluvial architecture was used as the benchmark in these studies. Both the geostatistically generated model and the benchmark model were interrogated, and metrics for the connectivity of high-permeability preferential flow pathways were quantified. Computational simulations of CO2 injection were performed, and metrics for CO2 dynamics and trapping were quantified. All metrics were similar between the two models. The percentage of high-permeability cells in spanning connected clusters (percolating clusters) was similar because percolation is strongly dependent upon proportions, and the same proportion of higher permeability cross-strata was specified in generating both models. The CO2 plume dynamics and residual trapping metrics were similar because they are largely controlled by the occurrence of percolating clusters. The benchmark model representedmore » more features of the fluvial architecture and, depending on context, representing those features may be quite important, but the simpler geostatistical model was able to adequately represent fluvial reservoir architecture within the context and within the scope of the parameters represented here.« less

Authors:
 [1];  [2];  [2];  [1]
  1. Illinois State Geological Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Champaign, IL 61820
  2. Department of Earth and Environmental Sciences, Wright State University, Dayton, OH 45435
Publication Date:
Research Org.:
Energy Frontier Research Centers (EFRC) (United States). Center for Geologic Storage of CO2 (GSCO2); Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1566732
DOE Contract Number:  
SC0012504
Resource Type:
Journal Article
Journal Name:
Environmental amp Engineering Geoscience
Additional Journal Information:
Journal Volume: 24; Journal Issue: 4; Journal ID: ISSN 1078-7275
Country of Publication:
United States
Language:
English
Subject:
defects, mechanical behavior, carbon sequestration, mesostructured materials

Citation Formats

Damico, James R., Ritzi, Robert W., Gershenzon, Naum I., and Okwen, Roland T. Challenging Geostatistical Methods To Represent Heterogeneity in CO2 Reservoirs Under Residual Trapping. United States: N. p., 2018. Web. doi:10.2113/eeg-2116.
Damico, James R., Ritzi, Robert W., Gershenzon, Naum I., & Okwen, Roland T. Challenging Geostatistical Methods To Represent Heterogeneity in CO2 Reservoirs Under Residual Trapping. United States. doi:10.2113/eeg-2116.
Damico, James R., Ritzi, Robert W., Gershenzon, Naum I., and Okwen, Roland T. Fri . "Challenging Geostatistical Methods To Represent Heterogeneity in CO2 Reservoirs Under Residual Trapping". United States. doi:10.2113/eeg-2116.
@article{osti_1566732,
title = {Challenging Geostatistical Methods To Represent Heterogeneity in CO2 Reservoirs Under Residual Trapping},
author = {Damico, James R. and Ritzi, Robert W. and Gershenzon, Naum I. and Okwen, Roland T.},
abstractNote = {Abstract Geostatistical methods based on two-point spatial-bivariate statistics have been used to model heterogeneity within computational studies of the dispersion of contaminants in groundwater reservoirs and the trapping of CO2 in geosequestration reservoirs. The ability of these methods to represent fluvial architecture, commonly occurring in such reservoirs, has been questioned. We challenged a widely used two-point spatial-bivariate statistical method to represent fluvial heterogeneity in the context of representing how reservoir heterogeneity affects residual trapping of CO2 injected for geosequestration. A more rigorous model for fluvial architecture was used as the benchmark in these studies. Both the geostatistically generated model and the benchmark model were interrogated, and metrics for the connectivity of high-permeability preferential flow pathways were quantified. Computational simulations of CO2 injection were performed, and metrics for CO2 dynamics and trapping were quantified. All metrics were similar between the two models. The percentage of high-permeability cells in spanning connected clusters (percolating clusters) was similar because percolation is strongly dependent upon proportions, and the same proportion of higher permeability cross-strata was specified in generating both models. The CO2 plume dynamics and residual trapping metrics were similar because they are largely controlled by the occurrence of percolating clusters. The benchmark model represented more features of the fluvial architecture and, depending on context, representing those features may be quite important, but the simpler geostatistical model was able to adequately represent fluvial reservoir architecture within the context and within the scope of the parameters represented here.},
doi = {10.2113/eeg-2116},
journal = {Environmental amp Engineering Geoscience},
issn = {1078-7275},
number = 4,
volume = 24,
place = {United States},
year = {2018},
month = {12}
}