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Title: Inferring Geothermal Reservoir Processes at the Raft River Geothermal Field, Idaho, USA, Through Modeling InSAR–Measured Surface Deformation

Abstract

Ground surface deformations detected with Interferometric Synthetic Aperture Radar (InSAR) provide valuable information for inferring subsurface reservoir processes that are difficult to observe directly. This study aims at building a reservoir model that honors the available geological, hydrological and geo-mechanical data and also produces ground surface deformation consistent with InSAR measurements at the Raft River Geothermal Field. In the thermo-hydro-mechanical (THM) coupled model developed, the reservoir deforms as a result of the rock’s poroelastic response to changes in hydrologic pressure and thermal expansion/contraction. The results indicate that the observed deformation is the result of pressure decrease in the deep production reservoir and pressure increase in a shallower reservoir that accommodates the injected fluid (likely in the Salt Lake Formation). The combination of the uplift around injection wells with subsidence around the production wells, affected by the Bridge Fault as a flow barrier, creates a complex pattern of surface deformation in which the center of subtle subsidence significantly deviates from the location of the production wells. A parametric study suggests that (1) the Bridge Fault Zone is likely a flow barrier, (2) the surface deformation appears to be insensitive to the presence of the Narrows Structure, and (3) additional flow barriersmore » likely exist to shape the flow system. This case study demonstrates the utility of a high-fidelity forward model that honors available known information and THM coupled processes in understanding geothermal reservoir characteristics.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [2];  [3];  [4]; ORCiD logo [4];  [1]; ORCiD logo [4]
  1. Tongji Univ., Shanghai (China)
  2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  3. Idaho National Lab. (INL), Idaho Falls, ID (United States)
  4. Univ. of Wisconsin, Madison, WI (United States)
Publication Date:
Research Org.:
Univ. of Wisconsin, Madison, WI (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Office; USDOE National Nuclear Security Administration (NNSA); Chinese National Natural Science Foundation; National Science Foundation (NSF)
OSTI Identifier:
1638786
Alternate Identifier(s):
OSTI ID: 1439391; OSTI ID: 1463826
Report Number(s):
LLNL-JRNL-740529
Journal ID: ISSN 2169-9313
Grant/Contract Number:  
EE0006760; AC52-07NA27344; 41572267; 51639008; EE0005510; DGE‐1256259; AC52‐07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research. Solid Earth
Additional Journal Information:
Journal Volume: 123; Journal Issue: 5; Journal ID: ISSN 2169-9313
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Liu, Fang, Fu, Pengcheng, Mellors, Robert J., Plummer, Mitchell A., Ali, Syed Tabrez, Reinisch, Elena C., Liu, Qi, and Feigl, Kurt L. Inferring Geothermal Reservoir Processes at the Raft River Geothermal Field, Idaho, USA, Through Modeling InSAR–Measured Surface Deformation. United States: N. p., 2018. Web. doi:10.1029/2017JB015223.
Liu, Fang, Fu, Pengcheng, Mellors, Robert J., Plummer, Mitchell A., Ali, Syed Tabrez, Reinisch, Elena C., Liu, Qi, & Feigl, Kurt L. Inferring Geothermal Reservoir Processes at the Raft River Geothermal Field, Idaho, USA, Through Modeling InSAR–Measured Surface Deformation. United States. https://doi.org/10.1029/2017JB015223
Liu, Fang, Fu, Pengcheng, Mellors, Robert J., Plummer, Mitchell A., Ali, Syed Tabrez, Reinisch, Elena C., Liu, Qi, and Feigl, Kurt L. Fri . "Inferring Geothermal Reservoir Processes at the Raft River Geothermal Field, Idaho, USA, Through Modeling InSAR–Measured Surface Deformation". United States. https://doi.org/10.1029/2017JB015223. https://www.osti.gov/servlets/purl/1638786.
@article{osti_1638786,
title = {Inferring Geothermal Reservoir Processes at the Raft River Geothermal Field, Idaho, USA, Through Modeling InSAR–Measured Surface Deformation},
author = {Liu, Fang and Fu, Pengcheng and Mellors, Robert J. and Plummer, Mitchell A. and Ali, Syed Tabrez and Reinisch, Elena C. and Liu, Qi and Feigl, Kurt L.},
abstractNote = {Ground surface deformations detected with Interferometric Synthetic Aperture Radar (InSAR) provide valuable information for inferring subsurface reservoir processes that are difficult to observe directly. This study aims at building a reservoir model that honors the available geological, hydrological and geo-mechanical data and also produces ground surface deformation consistent with InSAR measurements at the Raft River Geothermal Field. In the thermo-hydro-mechanical (THM) coupled model developed, the reservoir deforms as a result of the rock’s poroelastic response to changes in hydrologic pressure and thermal expansion/contraction. The results indicate that the observed deformation is the result of pressure decrease in the deep production reservoir and pressure increase in a shallower reservoir that accommodates the injected fluid (likely in the Salt Lake Formation). The combination of the uplift around injection wells with subsidence around the production wells, affected by the Bridge Fault as a flow barrier, creates a complex pattern of surface deformation in which the center of subtle subsidence significantly deviates from the location of the production wells. A parametric study suggests that (1) the Bridge Fault Zone is likely a flow barrier, (2) the surface deformation appears to be insensitive to the presence of the Narrows Structure, and (3) additional flow barriers likely exist to shape the flow system. This case study demonstrates the utility of a high-fidelity forward model that honors available known information and THM coupled processes in understanding geothermal reservoir characteristics.},
doi = {10.1029/2017JB015223},
journal = {Journal of Geophysical Research. Solid Earth},
number = 5,
volume = 123,
place = {United States},
year = {Fri May 11 00:00:00 EDT 2018},
month = {Fri May 11 00:00:00 EDT 2018}
}

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Cited by: 11 works
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Figures / Tables:

Table 1 Table 1: Parameters for the baseline model

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Works referencing / citing this record:

The effect of fluid compressibility and elastic rock properties on deformation of geothermal reservoirs
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Spatio–Temporal Analysis of Deformation at San Emidio Geothermal Field, Nevada, USA Between 1992 and 2010
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