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Press Kit.


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High Quality ffA Logo Bitmap Image.

SEA 3D Pro Images:

Caption: “ The Opacity and Colour Blend capabilities of SEA 3D Pro 2009 provide a powerful way to analyse seismic reflectivity data through multiple seismic attributes. In the image shown, changes in frequency can be correlated with amplitude and dip variations using two multi-attribute blends. In both blends consistent abrupt changes against faults indicate those strata are fault controlled”

SEA3DPro_2009.bmp

Data is courtesy of StatoilHydro



SVI Pro Images:

Caption: “ SVI Pro 2009’s Interactive Facies Classification module is user centric, interpreter driven and makes interactive 3D seismic facies discrimination possible across large seismic datasets. The user can assess the impact of classification parameter changes as they are made as the module performs computation interactively on the GPU, providing results in real time”

ffa_FaciesClassification.bmp

Data is courtesy of RMOTC (Rocky Mountain Oilfield Testing Center) and the U.S. Department of Energy.









Caption:“ The significant gains in performance of 3D seismic analysis algorithms achieved with the Multi-GPU enabled SVI Pro 2009, are set to make seismic interpretation productivity to a new level. The graph shows initial benchmark performance improvements measured for a number of SVI Pro’s algorithms for noise cancellation, stratigraphic and structural analysis of 3D seismic data, using a modern multiple GPU system. Speed increases of up to 23x are seen on a single GPU and these stack up to a 37x increase when using 3 GPUs in parallel.”

ffa_DipAzimuthPerformanceGraph.bmp










Caption:“With SVI Pro’s industry leading Spectral Decomposition and Colour Blending options, seismic interpreters can highlight and understand subtle variations in geological character that are captured within their 3D seismic data.

“(Upper) original 3D Seismic, (lower) results of ffA spectral Decomposition providing highly detailed images of depositional channel systems that are typically targeted during hydrocarbon exploration”

ffa_NorthWestAfrica_Original.bmp

ffa_NorthWestAfrica_Channels.bmp

(NOTE: No “Data Courtesy of” note to be provided here. Dataset can only be identified as North West Africa)

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last Modified: 2nd June 2009