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The AAPG/Datapages Combined Publications Database
Showing 5,754 Results. Searched 195,387 documents.
Poststack Acoustic Impedance Characterization of a Mississippian Tripolitic Chert Reservoir, Osage County, Oklahoma
Benjamin L. Dowdell, Henry White, Kurt J. Marfurt
Oklahoma City Geological Society
... (2010) used Gray Level Co-Occurrence Matrix (GLCM) seismic texture attributes and self-organizing maps (SOM) to map subtle, thin-bed channels using...
2013
Adaptive UMAP based multiple-frequency attribute blending and its application on hydrocarbon reservoir characterization
Zezhou Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Rongchang Liu, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... introduce the suggested workflow for multi-frequency attribute fusion analysis. Then, we verify its effectiveness and robustness by applying...
2023
Abstract: Seismic Attribute Optimization for Deep-Water Facies Classification in SOM Analysis;
Karelia La Marca Molina, Heather Bedle
Search and Discovery.com
...Abstract: Seismic Attribute Optimization for Deep-Water Facies Classification in SOM Analysis; Karelia La Marca Molina, Heather Bedle Seismic...
Unknown
Two Data Reduction Schemes: A Shallow Oil Field Example; #42347 (2019)
Christopher P. Ross, David M. Cole
Search and Discovery.com
... and thickness. (UVQ is very similar to Kohonen self-organizing maps. They both solve linear problems and classify attributes based on internal data structure...
2019
The Pematang Group Sand Analysis Using Growing Neural Network Machine Learning
Rizky Hidayat, Duddy Lastawan, Fadhli Ruzi, Roby Oksuanandi, L.T.Hardanto
Indonesian Petroleum Association
... is Kohonen's (1982) Self Organizing Map (SOM) and the Neural Gas algorithm (Fritzke,1995). This study used an ML clustering algorithm called Growing...
2022
Comparison of Clustering Techniques to Define Chemofacies: Case Study for Mississippian Rocks in the STACK Play, Oklahoma
Search and Discovery.com
N/A
Utilization of High-Resolution Short- and Long-Wave Hyperspectral Imaging for Integrative Rock Typing
Search and Discovery.com
N/A
Geostatistical Integration of Multiscale Data to Construct a Hunton Group Geocellular Model: Upscaling Logs and Downscaling Seismic Impedance Volumes
Search and Discovery.com
N/A
Study on Flow Unit of Turbidite Fan Low Permeability Reservoir Based on Self-Organizing Neural Network Algorithm
Search and Discovery.com
N/A
Geophysical Structural Patterns of the Crystalline Basement of the Eastern WCSB; #30398 (2015)
Jiakang Li, Igor B. Morozov
Search and Discovery.com
... new attribute data sets. The multi-attribute analysis performed under additional geophysical information constraints results in structural pattern maps...
2015
ABSTRACT: Cluster Assisted 3D Unsupervised and Supervised Seismic Facies Analysis An Example from the Mid-Continent Region; #90133 (2011)
Atish Roy and Kurt J. Marfurt
Search and Discovery.com
..., frequency and other seismic attributes. This talk reviews Kohonen Self Organizing Maps as one of the clustering algorithms that can generate 3D...
2011
Demystifying Data-Driven Neural Networks for Multivariate Production Analysis
Ayush Rastogi, Karn Agarwal, Ely Lolon, Mike Mayerhofer, Oladapo Oduba
Unconventional Resources Technology Conference (URTEC)
... exploratory data analysis, outlier detection, feature extraction and dimensionality reduction. 6. Self-organizing maps serve as an effective...
2019
Geostatistical Integration of Multiscale Data to Construct the Hunton Group GeocellularModel: Upscaling Logs and Downscaling Seismic Impedance Volumes, #42255 (2018).
Benmadi Milad, Abdulmohsen AlAli, Roger Slatt, Kurt Marfurt
Search and Discovery.com
... component analysis (PCA) of electric logs followed by self-organizing map (SOM) to construct electrofacies logs. We then corroborate the geologic...
2018
Abstract: Artificial Neural Networks as a Tool for Porosity and Permeability Prediction, by C. A. Link and A. H. Wright; #90952 (1996).
Search and Discovery.com
1996
Seismic geomorphology analysis of coal-bearing reservoirs using waveform classification: A case study from the Northern Malay Basin
Ismailalwali A. M. Babikir, Ahmed M. A. Salim, Deva P. Ghosh
Geological Society of Malaysia (GSM)
... of these attributes was not useful. An unsupervised waveform classification was carried out using a self-organizing map algorithm of Stratimagic® software to produce...
2019
Identification of Sand Dunes in the Early Jurassic Nugget Formation in the Moxa Arch of Wyoming Using Seismic Attributes, Petrophysical Modeling, and Seismic Data Conditioning; #51604 (2019)
Dhruv Agrawal, Sumit Verma, Subhashis Mallick
Search and Discovery.com
... facies attribute calculated by using the Self Organizing Maps (SOMs) algorithm also confirms the presence of more sand facies on top and more evaporite...
2019
Model Testing of Methane Hydrate Occurrence on the North Slope of Alaska with Artificial Neural Networks, by Mary M. Poulton, Robert R. Casavant, Charles E. Glass, and Bo Zhao; #90035 (2004)
Search and Discovery.com
2004
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
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