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Migration of viscoacoustic data using acoustic reverse time migration with hybrid deblurring filters

Yuqing Chen, Guo Bowen and Gerard T. Schuster
Migration of viscoacoustic data using acoustic reverse time migration with hybrid deblurring filters
Geophysics (May 2019) 84 (3): S127-S136

Abstract

Viscoacoustic migration can significantly compensate for the amplitude loss and phase distortion in migration images computed from highly attenuated data. However, solving the viscoacoustic wave equation requires a significant amount of storage space and computation time, especially for least-squares migration methods. To mitigate this problem, we used acoustic reverse time migration (RTM) instead of viscoacoustic migration to migrate the viscoacoustic data and then we correct the amplitude and phase distortion by hybrid deblurring filters in the image domain. Numerical tests on synthetic and field data demonstrate that acoustic RTM combined with hybrid deblurring filters can compensate for the attenuation effects and produce images with high resolution and balanced amplitudes. This procedure requires less than one-third of the storage space and is O(N-1) times faster compared with the viscoacoustic migration, but at the cost of mildly reduced accuracy. Here, N represents the number of iterations used for least-squares migration method. This method can be extended to 3D migration at even a greater cost saving.


ISSN: 0016-8033
EISSN: 1942-2156
Coden: GPYSA7
Serial Title: Geophysics
Serial Volume: 84
Serial Issue: 3
Title: Migration of viscoacoustic data using acoustic reverse time migration with hybrid deblurring filters
Affiliation: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Pages: S127-S136
Published: 201905
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 22
Accession Number: 2019-050245
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Secondary Affiliation: Microsoft (China), CHN, China
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2019, American Geosciences Institute. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 2019
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