At the 15th CISBGf (International Congress Of Brazilian Geophysics Society) that happened between July 31 and August 3 in Rio de Janeiro our researcher engineer Patrícia Pampanelli presented the work “Noise Attenuation by Anisotropic Diffusion Preserving Structural Features” during the Workshop on Computational Geophysics. In this work we can see how HPC can be used on Geophysics domain. We also compare the computational performance of CPU and GPU implementations and show that GPU is about 14 times faster. The following abstract and the result images show us more detail of this work.
We introduce an edge-preserving filtering method based on the anisotropic diffusion of the amplitude field. Our formulation of the diffusion process uses seismic attributes to identify horizons and faults, which are used as constraints of the proposed method. Differently from previous works, we use the instantaneous phase gradient to orient the diffusion process, and an implicit method for solving the diffusion equation. For each filtering step, a system of equations must be resolved. The proposed method was applied to synthetic and real seismic data. The results show that this filter is effective in removing noise, while preserving structural features. Moreover, we also observed a signal to-noise ratio increase.
#CISBGF2017 #HPC #GPU #Oil&Gas #ComputationalGeophysics #AcceleratedGeophysics #SeismicInterpretation #SeismicFiltering #StructuralFeatures