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The AAPG/Datapages Combined Publications Database

Showing 5,368 Results. Searched 189,922 documents.

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Abstract: Seismic Attribute Analysis and the use of Unsupervised Neural Networks and Principal Component Analysis in Unconventional and Conventional Reservoirs; #90227 (2015)

Deborah Sacrey

Search and Discovery.com

... attributes. In turn, these attributes are input to self-organizing map (SOM) training. SOM, a form of unsupervised neural networks, has proven...

2015

Abstract: Seismic Attribute Analysis and the Use of Unsupervised Neural Networks and Principal Component Analysis in Unconventional and Conventional Reservoirs; #90239 (2015)

Deborah Sacrey

Search and Discovery.com

... attributes. In turn, these attributes are input to self-organizing map (SOM) training. SOM, a form of unsupervised neural networks, has proven...

2015

Abstract: Seismic Attribute Analysis and the Use of Unsupervised Neural Networks and Principal Component Analysis in Unconventional and Conventional Reservoirs; #90245 (2016)

Deborah Sacrey

Search and Discovery.com

... help determine meaningful seismic attributes. In turn, these attributes are input to self-organizing map (SOM) training. SOM, a form of unsupervised...

2016

Cluster Assisted 3D Unsupervised Seismic Facies Analysis - An Example from Osage County, Oklahoma; #40832 (2011)

Atish Roy and Kurt J. Marfurt

Search and Discovery.com

... Introduction to waveform classification Overview of Kohonen Self-organizing maps (SOM) – Training Process 3D multi-attribute SOM clustering analysis 3D...

2011

Seismic Interpretation with Machine Learning

Rocky Roden, Deborah Sacrey

GEO ExPro Magazine

... principal component analysis (PCA) and self-organizing maps are components of a machine-learning interpretation workflow (Figure 1) that involves...

2016

Characterizing a Mississippian Tripolitic Chert Reservoir Using 3D Unsupervised Multi-attribute Seismic Facies Analysis

Atish Roy, Benjamin L. Dowdell, Kurt J. Marfurt

Oklahoma City Geological Society

..., each having advantages and disadvantages. Our 3D multi-attribute analysis is based on Kohonen self-organizing maps (SOM), which are one of the most...

2013

Extended Abstract: Sub-seismic Resolution in the Eagle Ford Enabled by Multi-Attribute Analysis Using Instantaneous, Geometric, and Spectral Decomposition Self Organizing Maps

Patricia A. Santogrossi

Houston Geological Society Bulletin

... Decomposition Self Organizing Maps Patricia A. Santogrossi 2016 33 35 Vol. 58 (2016) No. 6. (February) Figure 1. Multi-Attribute Analysis’ Sub-seismic...

2016

Extended Abstract: Sub-seismic Resolution in the Eagle Ford Enabled by Multi-Attribute Analysis Using Instantaneous, Geometric, and Spectral Decomposition Self Organizing Maps

Patricia A. Santogrossi

Houston Geological Society Bulletin

...Extended Abstract: Sub-seismic Resolution in the Eagle Ford Enabled by Multi-Attribute Analysis Using Instantaneous, Geometric, and Spectral...

2016

Unsupervised seismic facies classification applied to a presalt carbonate reservoir, Santos Basin, offshore Brazil

Danilo Jotta Ariza Ferreira, Wagner Moreira Lupinacci, Igor de Andrade Neves, João Paulo Rodrigues Zambrini, André Luiz Ferrari, Luiz Antonio Pierantoni Gamboa, and Maria Olho Azul

AAPG Bulletin

... multi-attribute analysis using an unsupervised classification algorithm to map the carbonate facies of an exploratory presalt area located in the Outer...

2019

Machine Learning using Multiple Seismic Attributes could be the Paradigm Shift in the Interpretation Process

Deborah K. Sacrey

GCAGS Transactions

..., Natural clusters in multi-attribute seismics found with self-organizing maps: Extended Abstracts, Robinson-Treitel Spring Symposium, Geophysical...

2018

Machine Learning Applied to 3-D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara

Carolan Laudon, Sarah Stanley, Patricia Santogrossi

Unconventional Resources Technology Conference (URTEC)

... into interpretation and analysis. Recent developments with machine learning have added new capabilities to multi-attribute seismic analysis. In 2018...

2019

Seismic Facies Analysis Using Generative Topographic Mapping; #41717 (2015)

Satinder Chopra, Kurt Marfurt

Search and Discovery.com

... using Kohonen's self-organizing maps (SOM), and organizing it into clusters on a 2D map. Such methods are computationally fast and inexpensive. However...

2015

Evaluation Method of Low Permeability Reservoirs Based on Logging Petrophysical Facies Identification: A Case Study of the Upper Member of Mengyin Formation in Gaoqing Area, Dongying Depression; #42448 (2019)

Ya Wang, Shaochun Yang, Yan Lu

Search and Discovery.com

.... 1) . ● The self-organizing map neural network algorithm has unique theoretical advantages in solving the pattern recognition problems with complex...

2019

Unsupervised Machine Learning Applications for Seismic Facies Classification

Satinder Chopra, Kurt J. Marfurt

Unconventional Resources Technology Conference (URTEC)

... anomalies using traditional interactive interpretation workflows. Specifically, we apply k-means, principal component analysis, self-organizing mapping...

2019

A Comparison of Popular Neural Network Facies Classification Schemes*

Christopher P. Ross, David M. Cole

GCAGS Transactions

... components analysis and self-organizing maps: Interpretation, v. 11, p. 59–83. Ronen, S., P. S. Schultz, M. Hattori, and C. Corbett, 1994, Seismic-guided...

2017

Application of LMR and Clustering Analysis in Unconventional Reservoirs; #40879 (2012)

Roderick Perez

Search and Discovery.com

... - International / October 11th, 2011 Monday, November 21, 11 37 Self Organizing Maps FACIES MAP GR 0 Cluster Assisted 3D and 2D unsupervised seismic...

Unknown

Lithostratigraphic Interpretation of Seismic Data for Reservoir Characterization; #90017 (2003)

Mahesh Chandra, A. K. Srivastava, V. Singh, D. N. Tiwari, P. K. Painuly

Search and Discovery.com

... for using Kohonen self organizing maps (K-SOM) for automated quantitative seismic facies analysis based on the various discriminating features...

2003

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

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

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