HR: 0800h
AN: V41A-0397    [Abstracts]
TI: Electrical Surveys for Geothermal Reservoir Characterization
AU: * Garg, S K
EM: gargs@saic.com
AF: Science Applications International Corporation, 10260 Campus Point Drive, San Diego, CA 92121, United States
AU: Pritchett, J W
EM: john.w.pritchett@saic.com
AF: Science Applications International Corporation, 10260 Campus Point Drive, San Diego, CA 92121, United States
AU: Wannamaker, P E
EM: pewanna@egi.utah.edu
AF: Energy & Geoscience Institute, University of Utah, 423 Wakara Way, Salt Lake City, UT 84108, United States
AU: Combs, J
EM: jimjeany@ix.netcom.com
AF: Geo Hills Associates, 1710 Winter Moon Court, Reno, NV 89523, United States
AB: A geothermal reservoir simulator was used to model the natural state of the Beowawe geothermal field in north- central Nevada, and to compute the subsurface distributions of temperature, salinity, and pore-fluid resistivity. Subsequently, DC, MT and SP postprocessor software was used to compute the expected response corresponding to available survey data. The measured apparent resistivity distribution from a dipole-dipole DC resistivity survey is in good agreement with the computed values. The computed self-potential distribution reproduces the main features of an available SP survey. Although the computed MT apparent resistivity sounding curves reproduce the shapes of the measured MT sounding curves, an overall scale factor exists between the measured and computed MT responses. Possible reasons are static shifts in the coarsely sampled MT stations, and resistivity anisotropy due to the stratigraphy. Taken as a whole, the results of present work indicate that a suite of carefully designed electrical surveys (DC, MT, and SP) may be utilized to infer subsurface geothermal reservoir characteristics.
DE: 0925 Magnetic and electrical methods (5109)
DE: 1847 Modeling
DE: 8424 Hydrothermal systems (0450, 1034, 3017, 3616, 4832, 8135)
SC: Volcanology, Geochemistry, Petrology [V]
MN: 2007 Fall Meeting