2020/08/18 by Kai Gao, Gao, Kai, Lianjie Huang +3
Earth and Planetary Sciences · Engineering · #Drilling and Well Engineering #FOS: Physical sciences #Geophysics (physics.geo-ph) #Seismic Imaging and Inversion Techniques #Seismic Waves and Analysis
paper · pdf · doi:10.48550/arxiv.2008.08003
openalex publication_date 2020/08/18 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Accurate characterization of subsurface geophysical properties and detection\nof the fault system are essential for geothermal energy exploration and\nproduction. The Soda Lake geothermal field is in western Nevada with a complex\nfault system. Previous seismic characterization only produced a low-resolution,\nsmooth velocity model along with a simple, conceptual fault model. Using\noptimized correlation-based full-waveform inversion, wavefield-separation-based\nreverse-time migration, and automatic fault detection techniques, we present 3D\nseismic characterization for the Soda Lake geothermal field using 3D surface\nseismic data acquired with Vibroseis sources. We obtain 3D high-resolution\nvelocity, density, and acoustic impedance models, 3D seismic images with\ndifferent grid spacings, and a high-resolution fault system. Consistency check\nbetween the constructed faults and currently active injection and production\ngeothermal wells verifies that our seismic inversion and imaging results and\ndetected faults are reliable. These results can provide valuable information\nfor optimizing well placement and geothermal energy production at the Soda Lake\ngeothermal field.\n