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Title: Three-dimensional induced polarization data inversion for complex resistivity

Abstract

The conductive and capacitive material properties of the subsurface can be quantified through the frequency-dependent complex resistivity. However, the routine three-dimensional (3D) interpretation of voluminous induced polarization (IP) data sets still poses a challenge due to large computational demands and solution nonuniqueness. We have developed a flexible methodology for 3D (spectral) IP data inversion. Our inversion algorithm is adapted from a frequency-domain electromagnetic (EM) inversion method primarily developed for large-scale hydrocarbon and geothermal energy exploration purposes. The method has proven to be efficient by implementing the nonlinear conjugate gradient method with hierarchical parallelism and by using an optimal finite-difference forward modeling mesh design scheme. The method allows for a large range of survey scales, providing a tool for both exploration and environmental applications. We experimented with an image focusing technique to improve the poor depth resolution of surface data sets with small survey spreads. The algorithm's underlying forward modeling operator properly accounts for EM coupling effects; thus, traditionally used EM coupling correction procedures are not needed. The methodology was applied to both synthetic and field data. We tested the benefit of directly inverting EM coupling contaminated data using a synthetic large-scale exploration data set. Afterward, we further tested the monitoringmore » capability of our method by inverting time-lapse data from an environmental remediation experiment near Rifle, Colorado. Similar trends observed in both our solution and another 2D inversion were in accordance with previous findings about the IP effects due to subsurface microbial activity.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
Earth Sciences Division
OSTI Identifier:
1039922
Report Number(s):
LBNL-4759E
Journal ID: ISSN 0016-8033; GPYSA7; TRN: US201215%%64
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Journal Article
Journal Name:
Geophysics
Additional Journal Information:
Journal Volume: 76; Journal Issue: 3; Related Information: Journal Publication Date: 2011; Journal ID: ISSN 0016-8033
Country of Publication:
United States
Language:
English
Subject:
15 GEOTHERMAL ENERGY; 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; ALGORITHMS; DESIGN; EXPLORATION; FOCUSING; GEOTHERMAL ENERGY; HYDROCARBONS; MONITORING; POLARIZATION; RESOLUTION; SIMULATION

Citation Formats

Commer, M., Newman, G.A., Williams, K.H., and Hubbard, S.S. Three-dimensional induced polarization data inversion for complex resistivity. United States: N. p., 2011. Web. doi:10.1190/1.3560156.
Commer, M., Newman, G.A., Williams, K.H., & Hubbard, S.S. Three-dimensional induced polarization data inversion for complex resistivity. United States. doi:10.1190/1.3560156.
Commer, M., Newman, G.A., Williams, K.H., and Hubbard, S.S. Tue . "Three-dimensional induced polarization data inversion for complex resistivity". United States. doi:10.1190/1.3560156. https://www.osti.gov/servlets/purl/1039922.
@article{osti_1039922,
title = {Three-dimensional induced polarization data inversion for complex resistivity},
author = {Commer, M. and Newman, G.A. and Williams, K.H. and Hubbard, S.S.},
abstractNote = {The conductive and capacitive material properties of the subsurface can be quantified through the frequency-dependent complex resistivity. However, the routine three-dimensional (3D) interpretation of voluminous induced polarization (IP) data sets still poses a challenge due to large computational demands and solution nonuniqueness. We have developed a flexible methodology for 3D (spectral) IP data inversion. Our inversion algorithm is adapted from a frequency-domain electromagnetic (EM) inversion method primarily developed for large-scale hydrocarbon and geothermal energy exploration purposes. The method has proven to be efficient by implementing the nonlinear conjugate gradient method with hierarchical parallelism and by using an optimal finite-difference forward modeling mesh design scheme. The method allows for a large range of survey scales, providing a tool for both exploration and environmental applications. We experimented with an image focusing technique to improve the poor depth resolution of surface data sets with small survey spreads. The algorithm's underlying forward modeling operator properly accounts for EM coupling effects; thus, traditionally used EM coupling correction procedures are not needed. The methodology was applied to both synthetic and field data. We tested the benefit of directly inverting EM coupling contaminated data using a synthetic large-scale exploration data set. Afterward, we further tested the monitoring capability of our method by inverting time-lapse data from an environmental remediation experiment near Rifle, Colorado. Similar trends observed in both our solution and another 2D inversion were in accordance with previous findings about the IP effects due to subsurface microbial activity.},
doi = {10.1190/1.3560156},
journal = {Geophysics},
issn = {0016-8033},
number = 3,
volume = 76,
place = {United States},
year = {2011},
month = {3}
}