Welcome to the new Datapages Archives
Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.
AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.
Welcome to the new Datapages Archives
Search Results > New Search > Revise Search
The AAPG/Datapages Combined Publications Database
Showing 6,062 Results. Searched 200,293 documents.
Estimated Ultimate Recovery Using the Digital Analogue Shale Model
Michael Friedel, Raul Rechden
Unconventional Resources Technology Conference (URTEC)
.... URTeC 2976 3 Fusion The fusion of information in field measurements is undertaken using the unsupervised self-organizing map (SOM) technique (Kohonen...
2020
Abstract: Predictive mapping using self-organizing maps, Baie Verte Peninsula, Newfoundland, Canada: a case study
Angela Carter-McAuslan, Colin G. Farquharson
Atlantic Geology
... to be investigated. Self-organizing maps (SOMs) are a class of unsupervised artificial neural network algorithm which are be used to cluster multi-dimensional...
2016
Abstract: Self-Organizing Cellular Models of Carbonate Deposition Evaluating Controls on Facies Geometry, by Carl Drummond; #90914(2000)
Search and Discovery.com
2000
ABSTRACT: A Review of Applications of Artificial Intelligence for Predictive Analysis in Petrophysics - Practical Example Using Symbolic Regression; #90115 (2010)
Olivier Malinur
Search and Discovery.com
... are neural networks usually used for predicting missing values such as permeability. Self organizing maps, a class of unsupervised neural networks...
2010
Hydraulic Flow Unit Rock Typing to Enhance Permeability Prediction, a Case Study In: Bunyu Field, Tarakan Sub-Basin
Nidya Tika Sari, Warto Utomo
Indonesian Petroleum Association
... (Tiab & Donaldson, 2004). Clustering & Self Organizing Maps (SOM) for Rock Typing Clustering is a mathematical technique used in classification...
2024
Machine Learning and Artificial Intelligence Provides Wolfcamp Completion Design Insight
R. Shelley, H. Melcher, O. Oduba
Unconventional Resources Technology Conference (URTEC)
... of clustering neural network known as a self-organizing map URTeC 5572 4 (SOM) is shown in Figure 4. This type of network uses two layers; an input...
2021
Data Mining Techniques for Segmentation Analysis of Seismic Data, by Daniel R.S. Moraes, Rogério P. Espíndola, Márcia K. Karam, Alexandre G. Evsukoff, and Nelson F. F. Ebecken; #90052 (2006)
Search and Discovery.com
2006
The Flow Zone Indicator (FZI) and Pore Geometry Structure (PGS) Rock Typing Comparison to Maximize Permeability Estimation on Carbonate Reservoir, Case Study: Kais Formation, Bintuni Basin
Farhan Rizqi Ramadhan, Reka Dwi Adityawan, Warto Utomo, Muhammad Thariq Almuqtadir
Indonesian Petroleum Association
... log for the Self Organizing Map (SOM) algorithm analysis, which produced a detailed rock type log, before re-doing the FZI analysis. The results...
2022
Abstract: Seismic Attributes A Promising Aid for Hydrocarbon Prediction in Deep Water of the Ceará Basin, Brazilian Equatorial Margin;
Karen Leopoldino Oliveira, Karelia La Marca, Heather Bedle
Search and Discovery.com
... and an unsupervised machine-learning technique called self-organizing maps were applied focusing on this Cenomanian-Turonian interval. These techniques...
Unknown
Understanding Attributes and Their Use in the Application of Neural Analysis Case Histories Both Conventional and Unconventional, #41473 (2014).
Deborah Sacrey, Rocky Roden
Search and Discovery.com
... characteristics constitutes attribute analysis and can significantly impact reducing risk in hydrocarbon prospecting. Self-Organizing Maps (SOM...
2014
Inversion Case Studies From the SCOOP and STACK Areas in the Anadarko Basin
Search and Discovery.com
N/A
Simulating seismic data using generative adversarial networks
Bradley C. Wallet, Eyad Aljishi, Hussain Alfayez
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Unsupervised seismic facies analysis using wavelet transform and self-organizing maps: Geophysics, 72, no. 1, P9–P21, doi: https://doi.org/10.1190/1.2392789...
2022
Abstract: A Novel Workflow on Unsupervised Deep Learning Extraction of High-Resolution Image Texture for Building Automated Image Morphofacies in Siliciclastic Depositional Environments; #91204 (2023)
Ivan Wu, Sarvagya Parashar
Search and Discovery.com
... with the sorting index, this helps to make the “bioturbation index” for the entire sequence. The fourth step involves using the unsupervised self-organizing map...
2023
Abstract: The Gulf of Mexico as a CASEP (Complex Adaptive System with Emergent Properties): a New Analog for Mobile Substrate Basin Exploration Worldwide, by R. L. Phair; #90933 (1998).
Search and Discovery.com
1998
Application of vector plots, LIME, and SHAP for seismic facies machine learning evaluation
Heather Bedle, David Lubo-Robles
International Meeting for Applied Geoscience and Energy (IMAGE)
... incorporate more ML methods into our seismic interpretation workflows, particularly for multi-attribute seismic analysis, it is increasingly important...
2024
Abstract: Reaction Transport Modeling of Dolomitization Reveals the Emergence of Self-Organizing Patterns, by David A. Budd and Anthony J. Park; #90124 (2011)
Search and Discovery.com
2011
Abstract: Water’s Planet, by Grimm, Kurt; #90162 (2013)
Search and Discovery.com
2013
Seismic Data Conditioning for Identification of Sand Dunes in the Early Jurassic Nugget Formation in the Moxa Arch; #51639 (2020)
Dhruv Agrawal, Sumit Verma, Subhashis Mallick
Search and Discovery.com
...). Figure 8. (a) Stratal slice of the seismic facies, generated with Self Organizing Map (SOM) algorithm, (b) GLCM homogeneity with bump map. Both are taken...
2020
An Analytic Approach to Geologic Interpretation and Petrophysical Modeling of the Bakken/Three Forks Plays
Michael Roth, Murray Roth
Unconventional Resources Technology Conference (URTEC)
... in unconventional plays. In this study, a hierarchical self-organizing map easily identified the Upper, Lower and Middle Bakken formations, as well as the variable...
2013
Self-Organizing Models of Shallow-Water Carbonate Accumulation
Carl N. Drummond, Pamela J. Dugan
Journal of Sedimentary Research (SEPM)
...Self-Organizing Models of Shallow-Water Carbonate Accumulation Carl N. Drummond, Pamela J. Dugan 1999 Vol. 69 (1999), No. 4. (July...
1999
Abstract: Seismic Geomorphology, Sequence Stratigraphy and Application of Self Organizing Maps for Identification of Architectural Elements: A Case Study of the Cenozoic Deep-Water Strata in the North Carnarvon Basin, Australia;
Laura Ortiz Sanguino, Jerson Tellez, Heather Bedle
Search and Discovery.com
...Abstract: Seismic Geomorphology, Sequence Stratigraphy and Application of Self Organizing Maps for Identification of Architectural Elements: A Case...
Unknown
Unsupervised machine learning for seismic facies classification using a 3D grid approach
David Manzano, Edgar Galvan, Dan Ferdinand Fernandez
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Advanced self-organizing map facies analysis with stratigraphic constraint: 86th Annual International Meeting, SEG, Expanded Abstracts, 1666–1670, doi...
2024
Depositional Environments and Sequence Stratigraphy of Carbonate Mudrocks Using Sedimentology, Multi-Scale Electrofacies Visualization, and Geochemical Analyses: Tuwaiq Mountain and Hanifa Formations, Saudi Arabia
Search and Discovery.com
N/A
Explaining Clusters to Interpreters Using Opacity Modulation; #120165 (2014)
Thang Ha, Kurt Marfurt
Search and Discovery.com
...-organizing map (SOM) and generative topographic maps (GTM) extract geologic features that have similar expression in attribute space. Then, using well control...
2014
Integrated carbonate reservoir types modeling based on the PRT deep learning and multi-parameters seismic inversion and its application
Chen Xin, Song Jiawen, Liu Qing, Sun Qian, Zhao Min, Qi Qunli, Weixiang Zhong, Dengyi Xiao, Tang Zichang, Fuli An, Wang Bo, Fan Hanzhou, Li Xiaoliang, Huang Kongzhi, Liu Qiang
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and X. Zhang, 2018, Lithofacies modeling of complex carbonate reservoirs using a self-organizing map neural network: Journal of Natural Gas Science...
2023