65th EAGE Conference &Amp; Exhibition 2003
DOI: 10.3997/2214-4609-pdb.6.b28
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Preconditioning for Optimal 3D Stratigraphical and Structural Inversion

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Cited by 10 publications
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“…The interpretation of critical features such as faults and fractures in seismic amplitude data is complicated in the Foothills by noise introduced to the data by structural and topographic complexity. Randen et al (2003) [24] suggested a way to suppress the noise by applying a "structure-oriented filter", using the principles of scale-space theory to smooth the seismic volume and detect geological features at different stages of resolution. Depending on the feature of interest, large smoothing (increasing the continuity of the seismic reflectors) leaves primarily major features like thrust faults, while low smoothing leaves minor features [24].…”
Section: Post-migration Data Conditioning and Image Enhancementmentioning
confidence: 99%
See 1 more Smart Citation
“…The interpretation of critical features such as faults and fractures in seismic amplitude data is complicated in the Foothills by noise introduced to the data by structural and topographic complexity. Randen et al (2003) [24] suggested a way to suppress the noise by applying a "structure-oriented filter", using the principles of scale-space theory to smooth the seismic volume and detect geological features at different stages of resolution. Depending on the feature of interest, large smoothing (increasing the continuity of the seismic reflectors) leaves primarily major features like thrust faults, while low smoothing leaves minor features [24].…”
Section: Post-migration Data Conditioning and Image Enhancementmentioning
confidence: 99%
“…Randen et al (2003) [24] suggested a way to suppress the noise by applying a "structure-oriented filter", using the principles of scale-space theory to smooth the seismic volume and detect geological features at different stages of resolution. Depending on the feature of interest, large smoothing (increasing the continuity of the seismic reflectors) leaves primarily major features like thrust faults, while low smoothing leaves minor features [24]. Figure 5 shows the effects of using the structure smoothing filter on our 3D seismic volume, where the resolution was increased by enhancing the horizontal continuity of the seismic reflectors.…”
Section: Post-migration Data Conditioning and Image Enhancementmentioning
confidence: 99%
“…In some cases, 1D Gabor filters have been used over data of more than one dimension (Kumar et al, 2000;Randen et al, 2003). The essence of the Gabor filter remains, in the sense Figure 22.…”
Section: Sub-band Filtering With Gabor Filtersmentioning
confidence: 99%
“…There are a variety of seismic attributes enhancing fault visualization and detection already used by interpreters [5][6][7]. The ant-tracking attribute is a very powerful attribute in fault detection.…”
Section: Introductionmentioning
confidence: 99%