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The AAPG/Datapages Combined Publications Database
Showing 5,754 Results. Searched 195,387 documents.
Geological Interpretation Using Pattern Recognition from Self-Organizing Maps and Principal Component Analysis
Search and Discovery.com
N/A
Extended Abstract: Managing “Big Data” and Finding the “Sweet Spots”: Principal Component Analysis and Neural Analysis of Seismic Attributes to the Rescue
Deborah King Sacrey
Houston Geological Society Bulletin
.... Other sand bodies can also be seen. Several case histories showing examples of both the Principal Component Analysis and Self-Organized Mapping...
2015
Improving Resolution and Clarity with Neural Networks; #41911 (2016)
Christopher P. Ross
Search and Discovery.com
... perceptron (MLP). This is different from an unsupervised Kohonen self-organizing map (KSOM) or unsupervised vector quantizer (UVQ) methodology in two ways...
2016
Benefits from Pattern Recognition and Visualization; #41973 (2016)
Tao Zhao, Kurt J. Marfurt
Search and Discovery.com
... formations, we perform self-organizing map (SOM) analysis within a 50-millisecond time window below the top Ellenburger surface. While interaction...
2016
Well Log Calibration of Kohonen-Classified Seismic Attributes Using Bayesian Logic
M. T. Taner,, T. Berge, J. D. Walls, M. Smith, G. Taylor, D. Dumas, M. B. Carr
Journal of Petroleum Geology
... in another. To calibrate the clusters on the Kohonen self-organizing map, we use a set of seismic training data which consists of seismic attribute values...
2001
Abstract: Seismic Facies Classification Using a Visual-Based Method, Part 1: Theoretical Basis; #90211 (2015)
Ivan Marroquin, Jean Jules Brault, and Bruce Hart
Search and Discovery.com
..., a visual-based method that incorporates self-organizing maps, parallel coordinate plots and geographic mapping is most robust for automated pattern...
2015
Unsupervised Learning Applied to Hydraulic Flow Unit Identification Based on Wireline Formation Pressure Data; #42260 (2018)
Jose Victor Contreras
Search and Discovery.com
.... A dendrogram or Self-Organizing Map algorithm was used to train and automatically classify pressure stations. This workflow based on unsupervised learning...
2018
Seismic Fracture Detection in the Second White Speckled Shale: Anisotropic Perspectives on an Isotropic Workflow; #41289 (2014)
David Cho, Craig Coulombe, Scott McLaren, Kevin Johnson, and Gary F. Margrave
Search and Discovery.com
... of a multi-attribute analysis which includes the use of a pattern recognition algorithm to identify fracture patterns from the seismic image, an inversion...
2014
Seismic Facies Analysis Using Generative Topographic Mapping
Search and Discovery.com
N/A
Abstract: Self-Organization in Carbonate Diagenesis; #90063 (2007)
Search and Discovery.com
2007
Seismic to Simulation: Woodford Shale Case Study in Oklahoma, USA
Emilio J. Torres-Parada, Saurabh Sinha, Lennon E. Infante-Paez, Roger M. Slatt, Kurt Marfurt
Unconventional Resources Technology Conference (URTEC)
... shale intervals than other areas of the Woodford shale stratigraphic sequence. The results show multi-attribute analysis provide a better way...
2018
Identifying the Sedimentary Facies Through Analysis of Seismic Facies in Non-Marine Sedimentary Basin: A Case Study From the Offshore Bohai Bay Basin, East China
Search and Discovery.com
N/A
Eolian Sand Dunes: Models of Emergent Features in Self-Organizing Systems, by Maslyn, R. Mark; #90030(2004)
Search and Discovery.com
2004
Classification / Corroboration of Facies Architecture in the Eagle Ford Group: A Case Study in Thin Bed Resolution
Patricia Santogrossi
Unconventional Resources Technology Conference (URTEC)
... step which is a Self-Organizing Map (SOM) (Roden et al., 2015). This is a learning machine data classification process wherein winning neurons reveal...
2017
Applying Machine Learning Methods to Study Compartmentalization in Complex Reservoirs Based on Static Pressure Information; #42473 (2019)
Jose Victor Contreras
Search and Discovery.com
... (Subrahmanya et al., 2014). One of the most widely used algorithm to carry out unsupervised learning tasks is the Self-Organizing Map (Kohonen, 1982...
2019
Depositional Environments and Sequence Stratigraphy of Carbonate Mudrocks Using Sedimentology, Multi-Scale Electrofacies Visualization, and Geochemical Analyses: Tuwaiq Mountain and Hanifa Formations, Saudi Arabia; #51192 (2015)
Mustafa A. Al Ibrahim, Rick Sarg, Neil Hurley, Dave Cantrell, John D. Humphrey
Search and Discovery.com
... are integrated using quantitative means. Cluster analysis of well-logs using self-organizing maps and hierarchical clustering allowed for a multiscale...
2015
Gold Targeting of Fixed Wing Aeromagnetic Data Using Structural Complexity, Self-Organizing Map, and Supervised Deep Neural Network Analyses: A Case Study From the Red Lake Camp, Superior Province, Ontario, Canada
Karl Kwan, Jean M. Legault
International Meeting for Applied Geoscience and Energy (IMAGE)
...Gold Targeting of Fixed Wing Aeromagnetic Data Using Structural Complexity, Self-Organizing Map, and Supervised Deep Neural Network Analyses: A Case...
2023
ABSTRACT: Integrated Seismic Texture Segmentation and SOM Cluster Analysis for Channel Delineation
Malleswar Yenugu
Houston Geological Society Bulletin
...-occurrence matrix with self-organizing maps (SOM) clustering technology and applied it to classify seismic textures. By this way, I expect that this workflow...
2012
Abstract: Explaining Clusters to Interpreters Using Opacity Modulation, by Thang Ha and Kurt Marfurt; #90206 (2014)
Search and Discovery.com
2014
Some Machine Learning Applications in Seismic Interpretation; #42270 (2018)
Satinder Chopra, David Lubo-Robles, Kurt J. Marfurt
Search and Discovery.com
... analysis, self-organizing mapping, fuzzy logic, support vector machines, neural networks, etc. have all been used in interpretation for some 20 years...
2018
Shale Lithofacies Classification and Modeling: Case Studies From the Bakken and Marcellus Formations, North America
Search and Discovery.com
N/A
Abstract: Derived Seismic Attributes Underpin Reservoir Characterization in Data-Driven Methodologies; #90255 (2017)
Keith Holdaway
Search and Discovery.com
... (PCA) and Self-Organizing Maps (SOM) in a closed iterative loop. We shall also touch upon the implementation of nested neural networks as part of a Deep...
2017
Stochastic Multiscale Electrofacies Classification of Well Logs: A Case Study From North Slope, Alaska
Search and Discovery.com
N/A
Diagenetic Origins of Lateral Periodic Variations in the Properties of Dolomite – Evidence of Self-Organizing Phenomena? by David A. Budd, Matthew J. Pranter, Zulfiquar A. Reza, and Anthony J. Park; #90052 (2006)
Search and Discovery.com
2006
Comparing Self Organizing Maps with Geology and Grey Level Co-occurrence Matrix (GLCM) Texture Attributes, an Example from the Red Fork Sandstone, Anadarko Basin
Atish Roy, Kurt J. Marfurt
Oklahoma City Geological Society
... Basin Red Fork channels:. SEG Expanded Abstract. Summary The Self Organizing Map (SOM) is an effective pattern recognition technique and is a commonly...
2010