Constraining self-organizing map facies analysis with stratigraphy: An approach to increase the credibility in automatic seismic facies classification

AbstractPattern recognition-based seismic facies analysis techniques are commonly used in modern quantitative seismic interpretation. However, interpreters often treat techniques such as artificial neural networks and self-organizing maps (SOMs) as a “black box” that somehow correlates a suite of attributes to a desired geomorphological or geomechanical facies. Even when the statistical correlations are good, the inability to explain such correlations through principles of geology or physics results in suspicion of the results. The most common multiattribute facies analysis begins by correlating a suite of candidate attributes to a desired output, keeping those that correlate best for subsequent analysis. The analysis then takes place in attribute space rather than (x, y, and z) space, removing spatial trends often observed by interpreters. We add a stratigraphy layering component to a SOM model that attempts to preserve the intersample relation along the vertical axis. Specifically, we use a mode decompo...

[1]  Stephen C. Ruppel,et al.  Mississippian Barnett Shale: Lithofacies and depositional setting of a deep-water shale-gas succession in the Fort Worth Basin, Texas , 2007 .

[2]  Bo Zhang,et al.  Brittleness evaluation of resource plays by integrating petrophysical and seismic data analysis , 2015 .

[4]  Tracy J. Stark,et al.  Relative geologic time (age) volumes—Relating every seismic sample to a geologically reasonable horizon , 2004 .

[5]  Kostia Azbel,et al.  A new methodology based on seismic facies analysis and litho-seismic modeling The Elkhorn Slough field pilot project, Solano County, California. , 1999 .

[6]  Thierry Coléou,et al.  Interpreter's Corner—Unsupervised seismic facies classification: A review and comparison of techniques and implementation , 2003 .

[7]  Richard Uden,et al.  Data mining of 3D poststack seismic attribute volumes using Kohonen self-organizing maps , 2002 .

[8]  Bo Zhang,et al.  Lateral consistency preserved variational mode decomposition (VMD) , 2016 .

[9]  Jing Zhang,et al.  Characterizing a turbidite system in Canterbury Basin, New Zealand, using seismic attributes and distance-preserving self-organizing maps , 2016 .

[10]  Thomas Smith,et al.  Geologic pattern recognition from seismic attributes: Principal component analysis and self-organizing maps , 2015 .

[11]  T. Kohonen.  Self-organized formation of topographically correct feature maps , 1982 .

[12]  Prerna Singh,et al.  Lithofacies and Sequence Stratigraphic framework of the Barnett Shale, Northeast Texas , 2008 .

[13]  Dominique Zosso,et al.  Variational Mode Decomposition , 2014, IEEE Transactions on Signal Processing.

[14]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[15]  D. Devegowda,et al.  Estimation of total organic carbon and brittleness volume , 2016 .

[16]  Bo Zhang,et al.  Nonstretching NMO correction of prestack time-migrated gathers using a matching-pursuit algorithm , 2013 .

[17]  Teuvo Kohonen,et al.  Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.

[18]  Research and application of seismic facies analysis based on the empirical mode decomposition , 2010 .

[19]  K. Marfurt,et al.  Seismic Color Self-Organizing Maps , 2009 .

[20]  K. Marfurt,et al.  Improving the quality of prestack inversion by prestack data conditioning , 2015 .

[21]  Daniel M. Jarvie,et al.  Mississippian Barnett Shale, Fort Worth basin, north-central Texas: Gas-shale play with multi–trillion cubic foot potential , 2005 .

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

[23]  Xinming Wu,et al.  Generating a relative geologic time volume by 3D graph-cut phase unwrapping method with horizon and unconformity constraints , 2012 .

[24]  Jim Crawley,et al.  University of Oklahoma , 2019, The Grants Register 2022.

[25]  T. Stark.  Unwrapping Instantaneous Phase to Generate a Relative Geologic Time Volume , 2003 .

[26]  Roger M. Slatt,et al.  Merging sequence stratigraphy and geomechanics for unconventional gas shales , 2011 .