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  1.  13
    Display and Enhancement of Volumetric Fault Images.Gabriel Machado, Abdulmohsen Alali, Bryce Hutchinson, Oluwatobi Olorunsola & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (1):SB51-SB61.
    Fault picking is a critical, but human-labor-intensive component of seismic interpretation. In a bid to improve fault imaging in seismic data, we have applied a directional Laplacian of a Gaussian operator to sharpen fault features within a coherence volume. We computed an [Formula: see text] matrix of the second moment tensor distance-weighted coherence values that fell within a 3D analysis window about each voxel. The eigenvectors of this matrix defined the orientation of planar discontinuities, whereas the corresponding eigenvalues determined whether (...)
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  2.  21
    Pitfalls in Seismic Processing: An Application of Seismic Modeling to Investigate Acquisition Footprint.Marcus P. Cahoj, Sumit Verma, Bryce Hutchinson & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (2):SG1-SG9.
    The term acquisition footprint is commonly used to define patterns in seismic time and horizon slices that are closely correlated to the acquisition geometry. Seismic attributes often exacerbate footprint artifacts and may pose pitfalls to the less experienced interpreter. Although removal of the acquisition footprint is the focus of considerable research, the sources of such artifact acquisition footprint are less commonly discussed or illustrated. Based on real data examples, we have hypothesized possible causes of footprint occurrence and created them through (...)
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  3.  9
    Pitfalls and Implementation of Data Conditioning, Attribute Analysis, and Self-Organizing Maps to 2D Data: Application to the Exmouth Plateau, North Carnarvon Basin, Australia.Thang N. Ha, Kurt J. Marfurt, Bradley C. Wallet & Bryce Hutchinson - 2019 - Interpretation 7 (3):SG23-SG42.
    Recent developments in attribute analysis and machine learning have significantly enhanced interpretation workflows of 3D seismic surveys. Nevertheless, even in 2018, many sedimentary basins are only covered by grids of 2D seismic lines. These 2D surveys are suitable for regional feature mapping and often identify targets in areas not covered by 3D surveys. With continuing pressure to cut costs in the hydrocarbon industry, it is crucial to extract as much information as possible from these 2D surveys. Unfortunately, much if not (...)
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