Multiscale Full-Waveform Inversion with Land Seismic Field Data: A Case Study from the Jizhong Depression, Middle Eastern China

Kai Wang, Xuan Feng, Alison Malcolm, Christopher Williams, Xiaojiang Wang, Kai Zhang, Baowei Zhang and Hangyu Yue
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Kai Wang: College of Geo-Exploration Science and Technology, Jilin University, 938 Ximinzhu Street, Changchun 130026, China
Xuan Feng: College of Geo-Exploration Science and Technology, Jilin University, 938 Ximinzhu Street, Changchun 130026, China
Alison Malcolm: Department of Earth Science, Memorial University of Newfoundland, St John’s, NL A1B3X5, Canada
Christopher Williams: Department of Earth Science, Memorial University of Newfoundland, St John’s, NL A1B3X5, Canada
Xiaojiang Wang: Institute of Geophysical and Geochemical Exploration, CAGS, 86 Jinguang Road, Langfang 130026, China
Kai Zhang: Institute of Geophysical and Geochemical Exploration, CAGS, 86 Jinguang Road, Langfang 130026, China
Baowei Zhang: Institute of Geophysical and Geochemical Exploration, CAGS, 86 Jinguang Road, Langfang 130026, China
Hangyu Yue: Institute of Geophysical and Geochemical Exploration, CAGS, 86 Jinguang Road, Langfang 130026, China

Energies, 2022, vol. 15, issue 9, 1-26

Abstract: The Jizhong depression contains several geothermal reservoirs that are characterized by localized low-velocity anomalies. In this article, full-waveform inversion (FWI) is used to characterize these anomalies and determine their extent. This is a challenging problem because the reservoirs are quite small and the available data have usable frequencies only down to 5 Hz. An accurate-enough starting model is carefully built by using an iterative travel time tomography method combined with a cycle-skipping assessment method to begin the inversion at 5 Hz. A multiscale Laplace–Fourier-domain FWI with a layer-stripping approach is implemented on the starting model by gradually increasing the maximum offset. The result of overlapping the recovered velocity model on the migrated seismic profile shows a good correlation between the two results. The recovered model is assessed by ray tracing, synthetic seismogram modeling, checkerboard testing and comparisons with nearby borehole data. These tests indicate that low-velocity anomalies down to a size of 0.3 km × 0.3 km at a maximum depth of 2 km can be recovered. Combined with the well log data, the resulting velocity model allows us to delineate two potential geothermal resources, one of which was previously unknown.

Keywords: full-waveform inversion; multiscale; land seismic field data; geothermal reservoir; Xiong’an New Area (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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