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The AAPG/Datapages Combined Publications Database
Showing 6,062 Results. Searched 200,293 documents.
Identifying Flow Units of Low-permeability Sandstone Reservoirs Based on Self-organizing Map Neural Network Algorithm; #51610 (2019)
Yan Lu, Keyu Liu, Ya Wang
Search and Discovery.com
...Identifying Flow Units of Low-permeability Sandstone Reservoirs Based on Self-organizing Map Neural Network Algorithm; #51610 (2019) Yan Lu, Keyu Liu...
2019
Abstract: A Workflow for Selection of Stimulation Candidates in the Deep Basin; #90172 (2014)
Anne Valentine, Mahyar (Matt) Mohajer, Lynn Murphy
Search and Discovery.com
... © CSPG/CSEG/CWLS GeoConvention 2010, Calgary, Alberta, Canada, May 10-14, 2010 Figure 2: Self organizing map To test this hypothesis, we selected...
2014
Abstract: Decoding the Modes of Occurrence of Elements in Coal: A Machine Learning-Driven Framework for Analysis
Wei Zhu, Wei Liu, Na Xu
The Society for Organic Petrology (TSOP)
... to quantitatively analyze the modes of occurrence of elements in coal. Improved self-organizing map and partial correlation analysis are employed...
2024
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
3D seismic facies clustering through spectral decomposition using unsupervised ML
Orkhan Mammadov, Ilkin Karimli, Konstantin Matrosov, Ruslan Malikov, Izat Shahsenov
International Meeting for Applied Geoscience and Energy (IMAGE)
... estimation and barely give a volumetric sense. Theory A Self-Organizing Map (SOM), also referred to as a Kohonen map, is an artificial neural network...
2024
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
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
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
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