LSRTM in Visco-Acoustic Medium on GPU Clusters and Its Application on 3D Land Datasets

M. Zhang; B. Kuang; H.Z. Wang; Z. Sui; L. Shan

doi:10.3997/2214-4609.201801652

LSRTM in Visco-Acoustic Medium on GPU Clusters and Its Application on 3D Land Datasets
Authors M. Zhang¹, B. Kuang², H.Z. Wang¹, Z. Sui², L. Shan²
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Affiliations: ¹ Tongji University ² Shengli Oilfield of SINOPEC
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
DOI: https://doi.org/10.3997/2214-4609.201801652

Abstract

Summary

In this paper, we have successfully applied visco-acoustic least square migration(VLSRTM) on a 3D land data. We also propose a CPU/GPU hybrid parallel computation strategy for implementing VLSRTM. Numerical examples demonstrate that when compared with conventional least square migration method, the anelastic effect is compensated correctly with VLSRTM and higher resolution.imaging result is obtained. The significant improvement of computational efficiency by using the present CPU/GPU hybrid parallel computation strategy is also verified.

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2018-06-11

2024-04-19

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References

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LSRTM in Visco-Acoustic Medium on GPU Clusters and Its Application on 3D Land Datasets

Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201801652

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LSRTM in Visco-Acoustic Medium on GPU Clusters and Its Application on 3D Land Datasets

Abstract

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The natural combination of full and image‐based waveform inversion

Poststack diffraction imaging using reverse‐time migration

Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis

Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture