Technical Library

Seismic Data, Processing, Technology, Well Data Reports and Industry and Trade Publication Features, from the Experts at TGS

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Stepwise Multiple Elimination using Linear Transforms: An alternative approach to SRME for stacking multiple-free near offsets in the Barents Sea

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October 17, 2010
Author: TGS
Filed Under: SEG
A novel, de-aliased method called Stepwise Multiple Elimination using Linear Transforms (SMELT) is introduced as an alternative to 2-D Surface Related.

Stability and speedup issues in TTI RTM implementation

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October 15, 2010
Author: TGS
Filed Under: SEG
In the implementation of TTI RTM, we meet stability problems and demands for speedup. Staggered Fourier first derivative and linear interpolation improves.

Mississippi Canyon high resolution reprocessing: applications for shallow drilling hazard and geologic evaluation

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October 12, 2010
Author: TGS
Filed Under: SEG
A joint contractor-company project was undertaken to evaluate the practicality and utility of shallow high resolution reprocessing of large deepwater.

Interactive demultiple in the post-migration depth domain

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October 11, 2010
Author: TGS
Filed Under: SEG
In efforts to further improve final migrated images we have developed a new methodology for post-migration multiple removal in the migration depth domain..

Enhanced pre-stack depth imaging of wide-azimuth data from the Gulf of Mexico: a case history

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October 8, 2010
Author: TGS
Filed Under: SEG
We present a case study of enhanced imaging of wideazimuth data from the Gulf of Mexico utilizing recent technologies; and we discuss the resulting.

True azimuth surface multiple elimination

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October 7, 2010
Author: TGS
Filed Under: SEG
A data driven 3D true azimuth surface related multiple elimination (SRME) technique can be quite effective in removing surface related multiples for both.

Imaging beneath the Florida Escarpment progressing from 2D, 3D and anisotropy : A case history

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October 5, 2010
Author: Gary Rodriguez
Filed Under: SEG
The long history of imaging in this area will be reviewed. Incremental improvements in data quality and interpretability will be shown. Processing efforts.