Calculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs

As an important method for seismic data processing, reverse time migration (RTM) has high precision but involves high-intensity calculations. The calculation an RTM surface offset (shot–receiver distance) domain gathers provides intermediary data for an iterative calculation of migration and its vel...

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Autores principales:	Dingjin Liu, Bo Li, Guofeng Liu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	reverse time migration (RTM) surface offset gathers (SOGs) parallel computation graphic processing unit (GPU) Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/9a51cf241be14b2bac35524ce304fab7
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spelling	oai:doaj.org-article:9a51cf241be14b2bac35524ce304fab72021-11-25T16:35:17ZCalculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs10.3390/app1122106872076-3417https://doaj.org/article/9a51cf241be14b2bac35524ce304fab72021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10687https://doaj.org/toc/2076-3417As an important method for seismic data processing, reverse time migration (RTM) has high precision but involves high-intensity calculations. The calculation an RTM surface offset (shot–receiver distance) domain gathers provides intermediary data for an iterative calculation of migration and its velocity building. How to generate such data efficiently is of great significance to the industrial application of RTM. We propose a method for the calculation of surface offset gathers (SOGs) based on attribute migration, wherein, using migration calculations performed twice, the attribute profile of the surface offsets can be obtained, thus the image results can be sorted into offset gathers. Aiming at the problem of high-intensity computations required for RTM, we put forth a multi-graphic processing unit (GPU) calculative strategy, i.e., by distributing image computational domains to different GPUs for computation and by using the method of multi-stream calculations to conceal data transmission between GPUs. Ultimately, the computing original efficiency was higher relative to a single GPU, and more GPUs were used linearly. The test with a model showed that the attributive migration methods can correctly output SOGs, while the GPU parallel computation can effectively improve the computing efficiency. Therefore, it is of practical importance for this method to be expanded and applied in industries.Dingjin LiuBo LiGuofeng LiuMDPI AGarticlereverse time migration (RTM)surface offset gathers (SOGs)parallel computationgraphic processing unit (GPU)TechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10687, p 10687 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	reverse time migration (RTM) surface offset gathers (SOGs) parallel computation graphic processing unit (GPU) Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	reverse time migration (RTM) surface offset gathers (SOGs) parallel computation graphic processing unit (GPU) Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Dingjin Liu Bo Li Guofeng Liu Calculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs
description	As an important method for seismic data processing, reverse time migration (RTM) has high precision but involves high-intensity calculations. The calculation an RTM surface offset (shot–receiver distance) domain gathers provides intermediary data for an iterative calculation of migration and its velocity building. How to generate such data efficiently is of great significance to the industrial application of RTM. We propose a method for the calculation of surface offset gathers (SOGs) based on attribute migration, wherein, using migration calculations performed twice, the attribute profile of the surface offsets can be obtained, thus the image results can be sorted into offset gathers. Aiming at the problem of high-intensity computations required for RTM, we put forth a multi-graphic processing unit (GPU) calculative strategy, i.e., by distributing image computational domains to different GPUs for computation and by using the method of multi-stream calculations to conceal data transmission between GPUs. Ultimately, the computing original efficiency was higher relative to a single GPU, and more GPUs were used linearly. The test with a model showed that the attributive migration methods can correctly output SOGs, while the GPU parallel computation can effectively improve the computing efficiency. Therefore, it is of practical importance for this method to be expanded and applied in industries.
format	article
author	Dingjin Liu Bo Li Guofeng Liu
author_facet	Dingjin Liu Bo Li Guofeng Liu
author_sort	Dingjin Liu
title	Calculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs
title_short	Calculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs
title_full	Calculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs
title_fullStr	Calculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs
title_full_unstemmed	Calculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs
title_sort	calculation of surface offset gathers based on reverse time migration and its parallel computation with multi-gpus
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9a51cf241be14b2bac35524ce304fab7
work_keys_str_mv	AT dingjinliu calculationofsurfaceoffsetgathersbasedonreversetimemigrationanditsparallelcomputationwithmultigpus AT boli calculationofsurfaceoffsetgathersbasedonreversetimemigrationanditsparallelcomputationwithmultigpus AT guofengliu calculationofsurfaceoffsetgathersbasedonreversetimemigrationanditsparallelcomputationwithmultigpus
_version_	1718413091585130496

Calculation of Surface Offset Gathers Based on Reverse Time Migration and Its Parallel Computation with Multi-GPUs

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