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The AAPG/Datapages Combined Publications Database
Showing 1,956 Results. Searched 195,452 documents.
Neural Network Prediction of Permeability in the El Garia Formation, Ashtart Oilfield, Offshore Tunisia
J. H. Ligtenberg,, A. G. Wansink
Journal of Petroleum Geology
.... Seismic reservoir characterisation using artificial neural networks. Muenster, 19th. Mintrop Seminar, 16-19 May 1999. KEITH, B.D. and PITTMAN, E.D....
2001
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
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: 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
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
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
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
Case Study of a Cadomin Gas Reservoir (Leland) in the Deep Basin: From Deterministic Inversion to Neural Network Analysis, #10732 (2015).
Carmen Dumitrescu, Fred Mayer
Search and Discovery.com
... neural networks to establish the nonlinear relationships between seismic attributes and reservoir properties at well locations, 3. validate results...
2015
An Introduction to Deep Learning: Part II
Lasse Amundsen, Hongbo Zhou, Martin Landrø
GEO ExPro Magazine
... on. With these computing breakthroughs, neural networks were revisited, and they could be made huge. ImageNet Large Scale Visual Recognition...
2017
ABSTRACT: Resistivity Modeling and Neural Network Synthetics—Powerful New Exploration and Development Tools
Steven M. Goolsby, Jeff S. Arbogast
Kansas Geological Society
... solution for multiwell applications. If porosity and permeability information is inaccurate, incomplete, or simply not available, neural networks can...
1999
Abstract: Deep Learning Inversion on Seismic Cubes; #91204 (2023)
Aleksandr Koriagin, Alexey Kozhevin, Stepan Goriachev, Roman Khudorozhkov
Search and Discovery.com
... to the latter, the existing literature describes how neural networks can be used for inversion on small patches of traces/seismic slides. In this work we...
2023
Generating Missing Logs -- Techniques and Pitfalls, by Michael Holmes, Dominic Holmes, and Antony Holmes, #40107 (2003).
Search and Discovery.com
2003