Accelerating Kirchhoff Pre-stack depth migration on a GPU by overlapping ray tracing and imaging

Li, Guofeng; Yu, Zhenjiang; Wang, Jun; Li, Bo

doi:10.1016/j.cageo.2019.04.008

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…Prestack time migration is a useful tool for solving complex structure imaging (Luo et al, 2011;Liu et al, 2014). One of the most important features of the Kirchhoff integration method is that it can select the source of the excitation point and the density of the ray beam of the corresponding seismic waves based on the seismic record (Yan and Liu, 2013;Liu et al, 2019). The accuracy of target migration imaging can reach to the extent that it is not limited by far-field approximation and formation dip.…”

Section: The Basic Principles Of Kirchhoff Prestack Time Migrationmentioning

confidence: 99%

Seismic Geothermal Resource Exploration based on CPU/GPU Collaborative Parallel Prestack Time Migration

Long

Yin

Xie

et al. 2022

Acta Geologica Sinica (Eng)

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Geothermal resources exist in complex and comprehensive geological settings. In the current study, we proposed a CPU/GPU collaborative parallel prestack time migration methodology for geothermal resource exploration. First, seismic geological conditions in Xian County were obtained based on an analysis of drill cores for further seismic evaluation. Then, combined with the analysis of two-dimensional seismic data in the adjacent area, a test section with three seismic survey lines were designed to explore the geological structure of the study area. In the study area, the seismic data were derived through the multiple coverage reflection wave exploration method with explosive ignition in deep wells and high coverage frequency observations. Finally, we employed CPU/GPU collaborative parallel prestack time migration technology to analyze the obtained seismic data for geothermal resource evaluation. The favorable areas of karst fissure heat storage in Middle-Upper Proterozoic Jixianian and Paleozoic Cambrian-Ordovician rocks were inferred together with two preferred recommended exploration holes.

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Section: The Basic Principles Of Kirchhoff Prestack Time Migrationmentioning

confidence: 99%

Seismic Geothermal Resource Exploration based on CPU/GPU Collaborative Parallel Prestack Time Migration

Long

Yin

Xie

et al. 2022

Acta Geologica Sinica (Eng)

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“…The use of Graphics Processing Units (GPUs) at scalable infra-structures is enabling the processing of these increasing datasets. GPUs are well-known in the geophysics domain and are commonly used to solve inversion and migration problems such as reverse time migration [1], full-waveform inversion [2], Kirchhoff migration [3], and least-squares migration [4], for instance. We also find in literature efforts on porting attributes computations to GPUs as the work proposed by [5].…”

Section: Introductionmentioning

confidence: 99%

Accelerating Multi-attribute Unsupervised Seismic Facies Analysis With RAPIDS

Napoli¹,

Rosario²,

Navarro³

et al. 2020

Preprint

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Classification of seismic facies is done by clustering seismic data samples based on their attributes. Year after year, the 3D datasets used in exploration geophysics constantly increase in size, complexity, and number of attributes, requiring a continuous rise in the classification efficiency. In this work, we explore the use of Graphics Processing Units (GPUs) to perform the classification of seismic surveys using the wellestablished machine learning method k-means. We show that the high-performance distributed implementation of the k-means algorithm available at the NVIDIA RAPIDS library can be used to classify facies of large seismic datasets much faster than a classical parallel CPU implementation (up to 258-fold faster in NVIDIA TESLAs GPUs), especially for large seismic blocks. We tested the algorithm with different real seismic volumes, including F3 Netherlands, Parihaka, and Kahu (from 12GB to 66GB).

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GPUPRSI: GPU implementation of seismic interferometry for retrieving reflection responses from passive source seismic recordings

Zheng,

Liu

2024

Computers & Geosciences

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Accelerating Kirchhoff Pre-stack depth migration on a GPU by overlapping ray tracing and imaging

Cited by 5 publications

References 20 publications

Seismic Geothermal Resource Exploration based on CPU/GPU Collaborative Parallel Prestack Time Migration

Seismic Geothermal Resource Exploration based on CPU/GPU Collaborative Parallel Prestack Time Migration

Accelerating Multi-attribute Unsupervised Seismic Facies Analysis With RAPIDS

GPUPRSI: GPU implementation of seismic interferometry for retrieving reflection responses from passive source seismic recordings

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