Practical Implementation of Prestack Kirchhoff Time Migration on a General Purpose Graphics Processing Unit

Li, Guofeng; Li, Chun

doi:10.1515/acgeo-2016-0033

Cited by 4 publications

(4 citation statements)

References 12 publications

(13 reference statements)

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“…GPUs were initially used for computer games. Up to now, oped to provide computational power for scientific applications based on GPUs has been widely applied in geoscience [19][20][21][22][23][24].…”

Section: The Proposed Fast Methodsmentioning

confidence: 99%

“…Up to now, GPUs have been developed to provide computational power for scientific applications [21]. Parallel computing based on GPUs has been widely applied in geoscience [19][20][21][22][23][24].…”

Section: The Proposed Fast Methodsmentioning

confidence: 99%

“…Based on the platform of GPU, Chen et al [21] proposed a fast inversion of gravity interface. Liu and Li [22] used a GPU in CUDA to implement prestack Kirchhoff time migration, and so on [23,24].…”

Section: Introductionmentioning

confidence: 99%

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A Fast Method for Calculation of Marine Gravity Anomaly

et al. 2021

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Gravity data have been playing an important role in marine exploration and research. However, obtaining gravity data over an extensive marine area is expensive and inefficient. In reality, marine gravity anomalies are usually calculated from satellite altimetry data. Over the years, numerous methods have been presented for achieving this purpose, most of which are time-consuming due to the integral calculation over a global region and the singularity problem. This paper proposes a fast method for the calculation of marine gravity anomalies. The proposed method introduces a novel scheme to solve the singularity problem and implements the parallel technique based on a graphics processing unit (GPU) for fast calculation. The details for the implementation of the proposed method are described, and it is tested using the geoid height undulation from the Earth Gravitational Model 2008 (EGM2008). The accuracy of the presented method is evaluated by comparing it with marine shipboard gravity data. Its efficiency is demonstrated through comparison with the conventional sequential method. The tests demonstrate that the proposed method can be employed for accurately calculating marine gravity anomalies and provides an advantage on computational efficiency.

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Section: The Proposed Fast Methodsmentioning

confidence: 99%

Section: The Proposed Fast Methodsmentioning

confidence: 99%

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A Fast Method for Calculation of Marine Gravity Anomaly

et al. 2021

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“…The application of NVIDIA GPUs in seismic image processing has significantly improved computing efficiency, for instance, in time migration and RTM and waveform inversion. [15][16][17], especially RTM, because it has the highest calculation accuracy in the seismic migration but is also the most time-consuming. Therefore, when GPUs appeared, it was used to accelerate RTM computation [18] by includingthe useof random boundary instead of storing wavefields to save GPU global memory [19], as well as some GPU computing strategies for the calculation of specific form of RTM tilted transversely isotropic TTI RTM and Q-RTM [20,21].…”

Section: Introductionmentioning

confidence: 99%

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

Liu

2021

Applied Sciences

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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.

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An efficient scheme for multi-GPU TTI reverse time migration

Meng

et al. 2019

Appl. Geophys.

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Practical Implementation of Prestack Kirchhoff Time Migration on a General Purpose Graphics Processing Unit

Cited by 4 publications

References 12 publications

A Fast Method for Calculation of Marine Gravity Anomaly

A Fast Method for Calculation of Marine Gravity Anomaly

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

An efficient scheme for multi-GPU TTI reverse time migration

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