Deep learning for local seismic image processing: Fault detection, structure-oriented smoothing with edge-preserving, and slope estimation by using a single convolutional neural network

[1]  G. Fehmers,et al.  Fast structural interpretation with structure-oriented filteringStructure-Oriented Filtering , 2003 .

[2]  Zhihui Zhu,et al.  Methods to enhance seismic faults and construct fault surfaces , 2017, Comput. Geosci..

[3]  Xinming Wu,et al.  Structure-, stratigraphy- and fault-guided regularization in geophysical inversion , 2017 .

[4]  Sergey Fomel,et al.  Automatic fault interpretation with optimal surface voting , 2018, GEOPHYSICS.

[5]  Dave Hale,et al.  3D seismic image processing for faults , 2015 .

[6]  Guochang Liu,et al.  Nonlinear structure‐enhancing filtering using plane‐wave prediction * , 2010 .

[7]  Sergey Fomel,et al.  FaultSeg3D: Using synthetic data sets to train an end-to-end convolutional neural network for 3D seismic fault segmentation , 2019, GEOPHYSICS.

[8]  Sergey Fomel,et al.  Applications of plane-wave destruction filters , 2002 .

[9]  J. Claerbout,et al.  Flattening without picking , 2006 .

[10]  Kurt J. Marfurt,et al.  Coherency calculations in the presence of structural dip , 1999 .

[11]  P. Bakker,et al.  Image structure analysis for seismic interpretation , 2002 .

[12]  R. Lynn Kirlin,et al.  3-D seismic attributes using a semblance‐based coherency algorithm , 1998 .

[13]  Sergey Fomel,et al.  Least-squares horizons with local slopes and multigrid correlations , 2018, GEOPHYSICS.

[14]  Xinming Wu,et al.  Directional structure tensors in estimating seismic structural and stratigraphic orientations , 2017 .

[15]  Kurt J. Marfurt,et al.  3D volumetric multispectral estimates of reflector curvature and rotation , 2006 .

[16]  Sergey Fomel,et al.  Predictive painting of 3D seismic volumes , 2010 .

[17]  A. Roberts.  Curvature attributes and their application to 3D interpreted horizons , 2001 .

[18]  Xinming Wu.  Directional structure-tensor-based coherence to detect seismic faults and channels , 2017 .

[19]  Haibin Di,et al.  Efficient volumetric extraction of most positive/negative curvature and flexure for fracture characterization from 3D seismic data , 2016 .

[20]  J. Claerbout,et al.  Incorporating geologic information into reflection tomography , 2004 .

[21]  Xinming Wu.  Building 3D subsurface models conforming to seismic structural and stratigraphic features , 2017 .

[22]  Xinming Wu,et al.  Detecting faults and channels while enhancing seismic structural and stratigraphic features , 2019, Interpretation.

[23]  Thomas Brox,et al.  Nonlinear structure tensors , 2006, Image Vis. Comput..

[24]  Dave Hale,et al.  Methods to compute fault images, extract fault surfaces, and estimate fault throws from 3D seismic images , 2013 .

[25]  Kurt J. Marfurt,et al.  Robust estimates of 3D reflector dip and azimuth , 2006 .

[26]  D. Hale,et al.  3D seismic image processing for unconformities , 2015 .

[27]  Dave Hale,et al.  Horizon volumes with interpreted constraints , 2015 .