Receiver grouping strategies for hybrid geometric-mean reverse time migration
Name
geo-2021-0428.1.pdf
Description
Published version
Size
8.11 MB
Format
Adobe PDF
Checksum (MD5)
b5fa98a6a0ede8cd3ea3aabf5f8c3cc0
Author(s)
Bai, Tong
Lyu, Bin
Williamson, Paul
Nakata, Nori
Date Issued
January 21, 2022
Journal
Geophysics
Publisher
Society of Exploration Geophysicists
Citation
Tong Bai, Bin Lyu, Paul Williamson, Nori Nakata; Receiver grouping strategies for hybrid geometric-mean reverse time migration. Geophysics 2022;; 87 (2): KS45–KS55.
Version
Final published version
Abstract
Geometric-mean reverse time migration (GmRTM), a powerful crosscorrelation-based imaging method, generates higher resolution source images and is more robust to noise compared with conventional time-reversal imaging. The price to pay is the higher computational costs. Alternatively, we can adopt hybrid strategies by dividing the receivers into different groups. Conventional time reversal (i.e., wavefield summation) is performed inside each group, followed by the application of crosscorrelation imaging condition among different groups. Such hybrid strategies can retain the advantages of GmRTM and time reversal and are often more practical than pure GmRTM. Yet, designing appropriate grouping strategy is not trivial. Here, we have developed two grouping strategies (adjacent and scattered) and used synthetic and field-data examples to evaluate their performance with various group numbers. In addition to the spatial resolution of the source image, robustness to random noise is another important assessment criterion, for which we consider two distribution patterns, such as concentrated and scattered, of traces contaminated with strong random noise. We also evaluated their effectiveness to visualize events (in the image domain) that are not completely recorded by all receivers. Our comprehensive tests illustrate the respective advantages of the two grouping strategies.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1190/geo2021-0428.1
