dc.creatorGómez, Julián Luis
dc.creatorVelis, Danilo Rubén
dc.creatorSabbione, Juan Ignacio
dc.date2017
dc.date2017
dc.date2022-12-01T19:05:58Z
dc.date.accessioned2023-07-15T09:00:00Z
dc.date.available2023-07-15T09:00:00Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/146750
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7486449
dc.descriptionWe present structure-oriented and edge-preserving algorithms for denoising seismic data volumes in the frequencyspace (fxy) domain. After transforming the 3D data to the fxy domain, we apply for each frequency slice, 1D edgepreserving smoothing filters which are guided spatially by the so-called gradient structure tensor. The synthesis of the denoised data shows that incoherent as well as footprint noise can be significantly reduced with no loss of important structural information. The algorithm can be efficiently implemented using linear convolutions to compute the structure tensor and simple 1D edge-preserving operators. Contrarily to other 2D and 3D edge preserving algorithms, the proposed filtering is not limited to impedance data volumes.
dc.descriptionFacultad de Ciencias Astronómicas y Geofísicas
dc.formatapplication/pdf
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectGeofísica
dc.subjectAlgorithms
dc.subjectTensor
dc.subjectFiltering
dc.titleA structure-guided and edge-preserving algorithm for smoothing 3D seismic data
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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