Wave field datuming for land prestack migration

Faye, Jean-Pierre; Jeannot, Jean-Paul

doi:10.1190/1.1892089

Cited by 4 publications

(2 citation statements)

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“…Bevc (1997) applied waveequation datuming to upward continue the data to a flat datum, above the highest topography so that this approach does not require detailed a priori knowledge of the near-surface velocity. In addition, Faye and Jeannot (1987), Ellis (1989), and Yang et al (2002) also applied this method to solving many practical problems and achieved good results. The other kind of way is to directly perform depth migration from rugged topography.…”

Section: Introductionmentioning

confidence: 87%

Plane-wave least-squares reverse time migration for rugged topography

Huang

Wang

et al. 2015

J. Earth Sci.

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We present a method based on least-squares reverse time migration with plane-wave encoding (P-LSRTM) for rugged topography. Instead of modifying the wave field before migration, we modify the plane-wave encoding function and fill constant velocity to the area above rugged topography in the model so that P-LSRTM can be directly performed from rugged surface in the way same to shot domain reverse time migration. In order to improve efficiency and reduce I/O (input/output) cost, the dynamic encoding strategy and hybrid encoding strategy are implemented. Numerical test on SEG rugged topography model show that P-LSRTM can suppress migration artifacts in the migration image, and compensate amplitude in the middle-deep part efficiently. Without data correction, P-LSRTM can produce a satisfying image of near-surface if we could get an accurate near-surface velocity model. Moreover, the pre-stack P-LSRTM is more robust than conventional RTM in the presence of migration velocity errors.

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Section: Introductionmentioning

confidence: 87%

Plane-wave least-squares reverse time migration for rugged topography

Huang

Wang

et al. 2015

J. Earth Sci.

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“…Berryhill [1] firstly advanced the concept of wave equation datum correction and then he extended this method to the pre-stack domain [2,3] . Yilmaz and Lucas [4] , Faye [5] , Ellis and Kitchenside [6] , Schneider [7] , Bevc [8] , Yang Kai [9,10] also did some beneficial tests on this method and many practical problems were solved to some extent. The depth migration directly from the rugged topography method includes the static correction implicitly.…”

Section: Introductionmentioning

confidence: 99%

Pre‐Stack Reverse Time Migration for Rugged Topography and GPU Acceleration Technology

Liu

et al. 2011

Chinese J of Geophysics

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Pre-stack reverse time migration (RTM) for rugged topography is a very useful tool for seismic imaging in the areas with strong relief on the surface and complex subsurface structures. In this paper, we illustrate the implementation process of RTM for rugged topography. To deal with the difficulty of dealing with the rugged free boundary condition with the finite difference method, we employ a simplified boundary condition which could avoid the abundant logical judgment. On this basis, we use the Graphic Processing Unit (GPU) architecture to accelerate RTM and get an order of magnitude higher speedup ratio compared to the traditional CPU architecture. The tests on synthetic data examples and comparison with the pre-stack one-way wave method for rugged topography prove that RTM does not have the imaging dip limit, and the imaging results for the areas with rugged surface topography and subsurface steep structures are significantly improved. The problems of imaging noise removal and massy memory demand of RTM have been stated in our previous paper and will not be discussed here.

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Wave‐equation datuming based on a single shot gather

Zhao

Liu

et al. 2004

SEG Technical Program Expanded Abstracts 2004

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Wave field datuming for land prestack migration

Cited by 4 publications

References 0 publications

Plane-wave least-squares reverse time migration for rugged topography

Plane-wave least-squares reverse time migration for rugged topography

Pre‐Stack Reverse Time Migration for Rugged Topography and GPU Acceleration Technology

Wave‐equation datuming based on a single shot gather

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