Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification

[1]  Haibin Di,et al.  Multi-Attributes and Neural Network-Based Fault Detection in 3D Seismic Interpretation , 2013 .

[2]  Haibin Di,et al.  Seismic-fault detection based on multiattribute support vector machine analysis , 2017 .

[3]  W. G. Higgs,et al.  Edge detection and stratigraphic analysis using 3D seismic data , 1996 .

[4]  Dengliang Gao,et al.  Latest developments in seismic texture analysis for subsurface structure, facies, and reservoir characterization: A review , 2011 .

[5]  Klaus-Robert Müller,et al.  Efficient BackProp , 2012, Neural Networks: Tricks of the Trade.

[6]  Satinder Chopra,et al.  Coherence Cube and beyond , 2002 .

[7]  D. Gao,et al.  Seismic structure and texture analyses for fractured reservoir characterization: An integrated workflow , 2017 .

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

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

[10]  D. Gao,et al.  Improved estimates of seismic curvature and flexure based on 3D surface rotation in the presence of structure dip , 2016 .

[11]  Christoph Georg Eichkitz,et al.  Calculation of grey level co-occurrence matrix-based seismic attributes in three dimensions , 2013, Comput. Geosci..

[12]  Dengliang Gao,et al.  Texture model regression for effective feature discrimination: Application to seismic facies visualization and interpretation , 2004 .

[13]  Haibin Di,et al.  Seismic Multi-attribute Classification for Salt Boundary Detection - A Comparison , 2017 .

[14]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[15]  Haibin Di,et al.  Weakly Supervised Seismic Structure Labeling via Orthogonal Non-Negative Matrix Factorization , 2017 .

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

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

[18]  Ronald R. Coifman,et al.  Local discontinuity measures for 3-D seismic data , 2002 .

[19]  S. Fomel,et al.  Fast salt boundary interpretation with optimal path picking , 2018 .

[20]  Sanyi Yuan,et al.  Directional complex-valued coherence attributes for discontinuous edge detection , 2016 .

[21]  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.

[22]  Arctangent function‐based third derivative attribute for characterisation of faults , 2017 .

[23]  Seunghoon Hong,et al.  Learning Deconvolution Network for Semantic Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[24]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[25]  Haibin Di,et al.  3D Seismic Flexure Analysis for Subsurface Fault Detection and Fracture Characterization , 2017, Pure and Applied Geophysics.

[26]  Ghassan AlRegib,et al.  Subsurface Structure Analysis Using Computational Interpretation and Learning: A Visual Signal Processing Perspective , 2018, IEEE Signal Processing Magazine.

[27]  Guangyou Fang,et al.  The removal of the high-frequency motion-induced noise in helicopter-borne transient electromagnetic data based on wavelet neural network , 2019, GEOPHYSICS.

[28]  Michael S. Bahorich,et al.  3-D seismic discontinuity for faults and stratigraphic features; the coherence cube , 1995 .

[29]  Arthur E. Barnes.  A filter to improve seismic discontinuity data for fault interpretation , 2006 .

[30]  Dengliang Gao,et al.  Volume texture extraction for 3D seismic visualization and interpretation , 2003 .

[31]  Antoine Guitton,et al.  3D Convolutional Neural Networks for Fault Interpretation , 2018, 80th EAGE Conference and Exhibition 2018.

[32]  Ghassan AlRegib,et al.  A weakly supervised approach to seismic structure labeling , 2017 .

[33]  Vikram Jayaram,et al.  A comparison of classification techniques for seismic facies recognition , 2015 .

[34]  Kristofer M. Tingdahl,et al.  Semi‐automatic detection of faults in 3D seismic data , 2005 .

[35]  Joe D. Kington,et al.  Semblance, coherence, and other discontinuity attributes , 2015 .

[36]  Tao Zhao,et al.  A fault-detection workflow using deep learning and image processing , 2018, SEG Technical Program Expanded Abstracts 2018.

[37]  Gerard T. Schuster,et al.  Zero-offset sections with a deblurring filter in the time domain , 2018, GEOPHYSICS.

[38]  Robert G. Clapp,et al.  Application of image segmentation to tracking 3D salt boundaries , 2007 .

[39]  Haibin Di,et al.  A new algorithm for evaluating 3D curvature and curvature gradient for improved fracture detection , 2014, Comput. Geosci..

[40]  Dengliang Gao.  SEISMIC ATTRIBUTE-AIDED FAULT DETECTION IN PETROLEUM INDUSTRY: A REVIEW , 2016 .

[41]  Ghassan AlRegib,et al.  Successful leveraging of image processing and machine learning in seismic structural interpretation: A review , 2018, The Leading Edge.

[42]  Xishuang Dong,et al.  A scalable deep learning platform for identifying geologic features from seismic attributes , 2017 .

[43]  Haibin Di,et al.  Gray-level transformation and Canny edge detection for 3D seismic discontinuity enhancement , 2014, Comput. Geosci..

[44]  Ghassan AlRegib,et al.  Seismic Fault Detection from Post-Stack Amplitude by Convolutional Neural Networks , 2018, 80th EAGE Conference and Exhibition 2018.

[45]  Kurt J. Marfurt,et al.  Volumetric aberrancy to map subtle faults and flexures , 2018 .

[46]  Kurt J. Marfurt,et al.  Eigenstructure-based coherence computations as an aid to 3-D structural and stratigraphic mapping , 1999 .

[47]  Ghassan Al-Regib,et al.  Seismic interpretation of migrated data using edge-based geodesic active contours , 2015, 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[48]  German Larrazabal,et al.  Salt body detection from seismic data via sparse representation , 2016 .

[49]  Zhen Wang,et al.  Deep Convolutional Neural Networks for Seismic Salt-Body Delineation , 2018, 2018 AAPG Annual Convention & Exhibition.

[50]  Haibin Di,et al.  Non-linear GLCM texture analysis for improved seismic facies interpretation , 2017 .

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

[52]  Roberto Cipolla,et al.  SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[53]  D. Gao,et al.  Extreme curvature and extreme flexure analysis for fracture characterization from 3D seismic data: New analytical algorithms and geologic implications , 2015 .

[54]  Sergey Fomel,et al.  Automatic salt-body classification using deep-convolutional neural network , 2018, SEG Technical Program Expanded Abstracts 2018.