A “sliding box” automatic relocation method based on geometric-mean reverse-time migration
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image2022-3747339.1.pdf
Description
Published version
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2.68 MB
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32861a45ef4062ce881e0533dd0b29e2
Author(s)
Bai, Tong
Zhang, Zhendong
White, Malcolm CA
Qiu, Hongrui
Williamson, Paul
Nakata, Nori
Date Issued
August 15, 2022
Journal
Second International Meeting for Applied Geoscience & Energy
Publisher
Society of Exploration Geophysicists and American Association of Petroleum Geologists
Citation
Tong Bai, Zhendong Zhang, Malcolm C. A. White, Hongrui Qiu, Paul Williamson, Nori Nakata; August 1, 2022. "A “sliding box” automatic relocation method based on geometric-mean reverse-time migration." Proceedings of the Second International Meeting for Applied Geoscience & Energy. Second International Meeting for Applied Geoscience & Energy. Houston, Texas. (pp. pp. 1516-1520). ASME.
Version
Final published version
Abstract
Regional seismic networks typically monitor and locate seismic sources using only kinematic (i.e., traveltime) observations. We propose an automated “sliding box” procedure to improve source locations by leveraging dynamic (e.g., full waveform) information via Geometric-mean Reverse-Time Migration (GmRTM). We demonstrate the proposed method’s efficacy by selecting and relocating some of the cataloged tectonic earthquakes recorded by a network of ∼250 three-component seismic sensors deployed across 8,000 km2 of mountainous terrain in Central Asia. Each event is recorded with sufficient signal-to-noise ratio (≥4) by at least 8 sensors inside a 20 km × 20 km box centered on the cataloged location. For each event, we extract a local 3-D velocity model, multiply the waveform data by their corresponding STA/LTA ratios to suppress coda waves and other coherent noise, and apply GmRTM to reconstruct high-resolution source images. The automatic procedure reasonably relocates 280 earthquakes.
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DOI of Published Version
https://doi.org/10.1190/image2022-3747339.1
