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The AAPG/Datapages Combined Publications Database
Showing 2,442 Results. Searched 200,685 documents.
Artificial Neural Network (ANN) Prediction of porosity and Water Saturation of Shaly Sandstone Reservoirs
Search and Discovery.com
N/A
Abstracts: Application of Neural Network Analysis and Post-Stack Inversion - Case Studies in Alberta; #90173 (2015)
Somanath Misra and Satinder Chopra
Search and Discovery.com
... structure within the zone of interest. Neural networks have been in use for geophysical applications since early 1990s. McCormack (1991) describes some...
2015
Time-lapse seismic data shaping with transformer encoder neural networks
Jorge E. Monsegny, Daniel O. Trad, Don C. Lawton
International Meeting for Applied Geoscience and Energy (IMAGE)
...Time-lapse seismic data shaping with transformer encoder neural networks Jorge E. Monsegny, Daniel O. Trad, Don C. Lawton Time-lapse seismic data...
2024
A Comparison of Popular Neural Network Facies Classification Schemes*
Christopher P. Ross, David M. Cole
GCAGS Transactions
...) There are two learning networks commonly used for seismic facies classification: unsupervised and supervised neural networks. While unsupervised...
2017
Forecasting Well-to-Well Interference in the Permian Basin by Applying Neural Networks on Pre-run Simulations
Yogashri Pradhan, W. John Lee, Duc Lam, Kyle Hanna, Thuy Nguyen, Andrew (Quang) Tran
Unconventional Resources Technology Conference (URTEC)
...Forecasting Well-to-Well Interference in the Permian Basin by Applying Neural Networks on Pre-run Simulations Yogashri Pradhan, W. John Lee, Duc Lam...
2022
ABSTRACT: Prediction of the permeability via neural networks and fuzzy logic in a heterogeneous carbonate reservoir, Iran; #90051 (2006)
Hossein Hosseinpoursiami, Aliakbar Rahimibahar, Mohammad Mohammadnia, AliMohammad Bagheri
Search and Discovery.com
...ABSTRACT: Prediction of the permeability via neural networks and fuzzy logic in a heterogeneous carbonate reservoir, Iran; #90051 (2006) Hossein...
Unknown
A method for surface wave suppression based on multimodal constraints neural networks
Yixuan Yan, Mengxiu Wang, Dong Cui, Chunming Wang, Sian Hou
International Meeting for Applied Geoscience and Energy (IMAGE)
...A method for surface wave suppression based on multimodal constraints neural networks Yixuan Yan, Mengxiu Wang, Dong Cui, Chunming Wang, Sian Hou...
2024
Abstract: Seismic Facies Map Using Neural Networks: An Example from Sligo Limestone In Lavaca County, Texas, by S. K. Addy; #90937 (1998).
Search and Discovery.com
1998
ABSTRACT: Time-to-Depth Conversion of Nash Draw "L" Seismic Horizon Using Seismic Attributes and Neural Networks, by D. M. Hart, R. S. Balch, W. W. Weiss, and S. Wo; #90915 (2000)
Search and Discovery.com
2000
Abstract: Facies Classification in Basaltic Volcanic Rocks Using Artificial Neural Networks, by Indrajit Bandyopadhyay, Sangeeta Singhal Bandyopadhyay, and Dedi Juandi; #90081 (2008)
Search and Discovery.com
2008
Combining Sequence Stratigraphy with Artificial Neural Networks to Enhance Regional Correlation and Determination of Reservoir Quality in the “Mississippian Limestone� of the Mid-Continent, USA
Search and Discovery.com
N/A
Deep Convolutional Neural Networks for Seismic Salt-Body Delineation
Search and Discovery.com
N/A
ABSTRACT: Using Neural Networks to Understand the Effects of Geologic Variables on Fracture Spacing in Folded Carbonates; #90013 (2003)
Thang Dinh Bui, Catherine L. Hanks, Jerry L. Jensen
Search and Discovery.com
...ABSTRACT: Using Neural Networks to Understand the Effects of Geologic Variables on Fracture Spacing in Folded Carbonates; #90013 (2003) Thang Dinh...
2003
Abstract: Reservoir Porosity and Permeability Prediction from Petrographic Data Using Artificial Neural Network - A Case Study from Saudi Arabia, by Osman M. Abdullatif and Mohamed Sitouah; #90105 (2010)
Search and Discovery.com
2010
Carbonate Lithofacies Prediction Using Neural Network and Geostatistical 3-D Modeling of Oolite Shoals, St. Louis Limestone, Southwest Kansas, by Lianshuang Qi, Timothy R. Carr, and Robert H. Goldstein; #90052 (2006)
Search and Discovery.com
2006
Joint data and physics model driven full-waveform inversion using CMP gathers and well-logging data
Shuliang Wu, Jianhua Geng
International Meeting for Applied Geoscience and Energy (IMAGE)
...) and Zhang et al. (2020) proposed to use recurrent neural networks (RNNs) to solve wave equations and invert the model parameters based...
2023
Application of Neural Networks and Machine Learning in Tiltmeter Analysis in Hydraulic Fracturing Diagnostics; #42384 (2019)
Ben Bagherian
Search and Discovery.com
...Application of Neural Networks and Machine Learning in Tiltmeter Analysis in Hydraulic Fracturing Diagnostics; #42384 (2019) Ben Bagherian Click...
2019
Feasibility of Moment Tensor Inversion From a Single Borehole Data Using Artificial Neural Networks; #42212 (2018)
Oleg Ovcharenko, Jubran Akram, Daniel Peter
Search and Discovery.com
...Feasibility of Moment Tensor Inversion From a Single Borehole Data Using Artificial Neural Networks; #42212 (2018) Oleg Ovcharenko, Jubran Akram...
2018
Abstract: Combining Sequence Stratigraphy with Artificial Neural Networks to Enhance Regional Correlation and Determination of Reservoir Quality in the Mississippian Limestone of the Mid-Continent, USA; #90309 (2017)
Elizabeth Elium
Search and Discovery.com
...Abstract: Combining Sequence Stratigraphy with Artificial Neural Networks to Enhance Regional Correlation and Determination of Reservoir Quality...
2017
1998
Abstract: Resistivity Modeling And Neural Network Synthetics -- Powerful New Exploration And Development Tools, by J. S. Arbogast and S. M. Goolsby; #90928 (1999).
Search and Discovery.com
1999
1999
Abstract: Resistivity Modeling and Neural Network Synthetics ... Powerful New Exploration and Development Tools, by S. M. Goolsby and J. S. Arbogast; #90921 (1999).
Search and Discovery.com
1999
Machine learning inversions incorporating geologic information through variational autoencoder and physics-based neural network
Yaoguo Li, Taqi Alyousuf, Andy McAliley
International Meeting for Applied Geoscience and Energy (IMAGE)
... in the exploratory setting. When given a small number of data observations, neural networks may struggle to extract complicated relationships from data...
2022
Extending Engine Change Out Respective to Running Hours Using Data Driven Using One Dimension (1-D) Convolutional Neural Network Algorithm
Subhan Malik, Harry Poetra Soedarsono
Indonesian Petroleum Association
... detection and recognition, anomaly detection, recognizing emotions from audio or video recordings. Unlike the traditional Artificial Neural Networks (ANNs...
2024