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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,630 documents.
2004
Abstract: Artificial Neural Network Permeability Estimation from NMR Logs in Heterogeneous Tight Gas Sand Reservoir, by Gharib M. Hamada and Mousatafa M. Elshafei; #90081 (2008)
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2008
Abstract: Application of 3D Seismic Multi-Attribute and Neural Network Technique for Reservoir Prediction: A Case Study for the Marrat Formation, Kuwait, by Mohammed H. Abdul Razak; #90105 (2010)
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2010
Seismic Facies Segmentation Using Deep Learning
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N/A
Evaporite Facies Characterization Based on an Unsupervised Artificial Neural Network in Northern Saudi Arabia
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N/A
ABSTRACT: Pattern Matching in Facies Analysis from Well Log DataCa Hybrid Neural Network-Based Application; #90013 (2003)
Emil Platon, Anthony Gary, Glenn Johnson
Search and Discovery.com
...ABSTRACT: Pattern Matching in Facies Analysis from Well Log DataCa Hybrid Neural Network-Based Application; #90013 (2003) Emil Platon, Anthony Gary...
2003
ABSTRACT: Extracting Lithofacies from Digital Well Logs Using Artificial Intelligence, Panoma (Council Grove) Field, Hugoton Embayment, Southwest Kansas; #90020 (2003)
Martin Dubois, Geoffrey Bohling, Alan Byrnes, Shane Seals
Search and Discovery.com
... heterogeneous reservoirs like the Panoma Field is impractical by traditional methods. In this study, a neural network implemented in the Excel add...
2003
Abstract: Quantitative Interpretation Using a New Neural Network Approach: Testing on Real Data Cases; #90246 (2016)
Maria Krylova, Jean-Jacques Schnitzler, Thierry Cadoret, Issam Tarrass
Search and Discovery.com
...Abstract: Quantitative Interpretation Using a New Neural Network Approach: Testing on Real Data Cases; #90246 (2016) Maria Krylova, Jean-Jacques...
2016
Abstract: Increasing Oil Recovery in a Mature Oilfield Using Joint Seismic Waveform Classification and Neural-Network, Dakwah Field, Indonesia; #90307 (2017)
Candra Arya Pradana, Ronald Chevalier
Search and Discovery.com
...Abstract: Increasing Oil Recovery in a Mature Oilfield Using Joint Seismic Waveform Classification and Neural-Network, Dakwah Field, Indonesia...
2017
Abstract: Seismic Fault Detection by Denoising Diffusion Probabilistic Model; #91204 (2023)
Bingbing Sun, Ali Abdulmohsen, Nasher AlBinHassan
Search and Discovery.com
... and artificial intelligence, fault detection by attributes computation has been replaced by end-to-end neural network prediction. Wu et al. (2019) developed...
2023
2006
Forecasting Coalbed Methane Resources by Artificial Neural Network; #80335 (2013)
Yuping Yang, Jianhua Zhong, and Gangshan Lin
Search and Discovery.com
...Forecasting Coalbed Methane Resources by Artificial Neural Network; #80335 (2013) Yuping Yang, Jianhua Zhong, and Gangshan Lin Forecasting Coalbed...
2013
Leveraging Experiments and AI to Unravel Mixed Foam Stability for Water Sensitive Porous Media Applications
Fatick Nath, Rene Garcilazo Jr, Jorge Collazo Jr
Unconventional Resources Technology Conference (URTEC)
... predictive tools capable of capturing foam stability's nonlinear, multivariate nature. Models such as Artificial Neural Networks (ANN), Decision Trees...
2025
Pushing the envelope of seismic stratigraphic interpretation: a case-study from the Mannville Group using small 3-D surveys
M. Smaili, B.S. Hart
CSPG Bulletin
.... 3-D seismic-based lithology prediction using impedance inversion and neural networks application: Case-study from the Mannville Group in East-Central...
2018
ENHANCED RESERVOIR CHARACTERIZATION IN THE VOLVE FIELD, NORTH SEA: A COMPARATIVE STUDY BETWEEN DETERMINISTIC AND STOCHASTIC INVERSIONS AND ITS APPLICATION TO PROBABILISTIC NEURAL NETWORK
Muhammad Ichsan Yusuf, Danang Tri Ardiansyah, and Fahrel Jayusri
Indonesian Petroleum Association
... APPLICATION TO PROBABILISTIC NEURAL NETWORK Muhammad Ichsan Yusuf, Danang Tri Ardiansyah, and Fahrel Jayusri 2025 1 49 1 The Volve Field is one...
2025
Abstract: Genetic Unit and Prediction of Petrophysical Parameters A Case Study (Paper 37)
Mohd Azizi bin Ibrahim
Geological Society of Malaysia (GSM)
... Lumpur The "genetic petrophysics" concept that is used to predict petrophysical parameters using genetically focused neural nets (GFNN) simulator has...
2003
ABSTRACT: Correlation Between Gamma Ray, Density and Neutron Logs and Whole Rock Elemental Geochemistry Using a Neural Network Model, by Smith, Christopher N.; Assous, Said; Busch, Rainer; #90155 (2012)
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2012
Identification of Potential Lacustrine Stratigraphic Intervals in the Woodford Shale, Oklahoma, Using Multi-Attribute 3-D Seismic Displays and a Supervised Neural Network
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N/A
ABSTRACT: Automated Processing of Large Data Volumes for Development of the Hugoton-Panoma Geomodel; #90048 (2005)
Geoffrey C. Bohling, Martin K. Dubois, John H. Doveton, Alan P. Byrnes
Search and Discovery.com
... prediction of lithofacies from geophysical well logs in numerous wells based on a neural network trained on log-facies associations observed in cored...
2005
ABSTRACT: Bulk Gas Volume Estimation Using Multi-Attribute Regression and Probabilistic Neural Network (PNN): A Case Study in a Gas Field from East Coast of India; #90118 (2011)
Amit K. Ray and Samir Biswal
Search and Discovery.com
...ABSTRACT: Bulk Gas Volume Estimation Using Multi-Attribute Regression and Probabilistic Neural Network (PNN): A Case Study in a Gas Field from East...
2011
Abstract: Predicting Reservoir Facies Distribution in the Subsurface using an Artificial Neural Network: Hodgeman County, Kansas; #90309 (2017)
Jacob Clayton, Matt Totten, Abdelmoneam Raef
Search and Discovery.com
...Abstract: Predicting Reservoir Facies Distribution in the Subsurface using an Artificial Neural Network: Hodgeman County, Kansas; #90309 (2017) Jacob...
2017
Abstract: A Convolutional Neural Network for Vuggy Facies Classification from Borehole Images;
Jiajun Jiang, Dawn McAlpin, Chicheng Xu, Rui Xu, Scott James, Weichang Li
Search and Discovery.com
...Abstract: A Convolutional Neural Network for Vuggy Facies Classification from Borehole Images; Jiajun Jiang, Dawn McAlpin, Chicheng Xu, Rui Xu, Scott...
Unknown
Abstract: Horizontal Stress Prediction Using Seismic Velocities Based on Convolutional Neural Network; #91206 (2023)
Fatemeh Saberi, Esmael Makarian, Ayub Elyasi, Tomomewo Stanley Olusegun
Search and Discovery.com
...Abstract: Horizontal Stress Prediction Using Seismic Velocities Based on Convolutional Neural Network; #91206 (2023) Fatemeh Saberi, Esmael Makarian...
2023
Advanced Seismic-stratigraphic Imaging of Depositional Elements in a Lower Cretaceous (Mannville) Heavy Oil Reservoir, West-central Saskatchewan, Canada
Sabrina E. Sarzalejo Silva, Bruce S. Hart
AAPG Special Volumes
... seismic attributes. Because they can capture nonlinear relationships between variables, neural networks commonly provide a statistically better...
2013