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Vti Pseudo Depth Domain Reverse Time Migration Based On Gpu Parallel

Vti Pseudo Depth Domain Reverse Time Migration Based On Gpu Parallel
Vti Pseudo Depth Domain Reverse Time Migration Based On Gpu Parallel

Vti Pseudo Depth Domain Reverse Time Migration Based On Gpu Parallel This study developed the pseudo depth domain rtm imaging method in a vti medium and presents the gpu parallel computing methodology to further move forward computing efficiency and obtain a good application of the pseudo depth domain method in vti medium imaging. By testing several models and field data, it concludes that graphics processing unit parallel strategy can significantly improve the computational efficiency of imaging. the pseudo depth.

Pdf Reverse Time Migration For Vti And Tti Media
Pdf Reverse Time Migration For Vti And Tti Media

Pdf Reverse Time Migration For Vti And Tti Media The coordinate transformation converted traditional depth domain imaging into pseudo depth domain imaging. in addition, this paper used the graphics processing unit (gpu) parallel strategy and compared the imaging approach with the conventional acoustic isotropy method. Pseudo depth domain reverse time migration in vti medium based on gpu parallel strategy. The coordinate transformation converted traditional depth domain imaging into pseudo depth domain imaging. in addition, this paper used the graphics processing unit (gpu) parallel strategy and compared the imaging approach with the conventional acoustic isotropy method. This is an open source program based on nvidia cuda, which includes two dimensional and three dimensional vti media forward simulation and reverse time migration imaging, two dimensional tti media reverse time migration imaging, and adcigs extraction of the above media].

The Zoomed In Reverse Time Migration Rtm Images Based On A The
The Zoomed In Reverse Time Migration Rtm Images Based On A The

The Zoomed In Reverse Time Migration Rtm Images Based On A The The coordinate transformation converted traditional depth domain imaging into pseudo depth domain imaging. in addition, this paper used the graphics processing unit (gpu) parallel strategy and compared the imaging approach with the conventional acoustic isotropy method. This is an open source program based on nvidia cuda, which includes two dimensional and three dimensional vti media forward simulation and reverse time migration imaging, two dimensional tti media reverse time migration imaging, and adcigs extraction of the above media]. In this paper, we extend lsrtm to 3d vti media and use the multi gpu parallel strategy to establish a workflow. this workflow has strong applicability, and there is no limit on the number of gpus. This study developed the pseudo depth domain rtm imaging method in a vti medium and presents the gpu parallel computing methodology to further move forward computing ef ciency and. As one of the main imaging methods, a lot of attention has been directed to reverse time migration anisotropic media. however, reverse time migration still faces cost and memory. To verify the adaptability of the pseudo depth domain method in the long offset layered structure, we built a velocity model based on marine data (as shown in figure 11).

Pdf Least Squares Reverse Time Migration Based On An Efficient Pure
Pdf Least Squares Reverse Time Migration Based On An Efficient Pure

Pdf Least Squares Reverse Time Migration Based On An Efficient Pure In this paper, we extend lsrtm to 3d vti media and use the multi gpu parallel strategy to establish a workflow. this workflow has strong applicability, and there is no limit on the number of gpus. This study developed the pseudo depth domain rtm imaging method in a vti medium and presents the gpu parallel computing methodology to further move forward computing ef ciency and. As one of the main imaging methods, a lot of attention has been directed to reverse time migration anisotropic media. however, reverse time migration still faces cost and memory. To verify the adaptability of the pseudo depth domain method in the long offset layered structure, we built a velocity model based on marine data (as shown in figure 11).

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