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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,619 documents.
Abstract: Application of Numerical Simulation and Artificial Neural Network for Oil-Field Development, SI-A Field, by Fariba Salehi, Ronak Azizi, Arnoosh Salehi, Amir Taheri, and Vali A. Sajjadian; #90067 (2007)
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2007
2009
2009
2012
Auto Recognition of Carbonate Sedimentary Facies Based on an Improved BP Neural Network
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N/A
Study on Flow Unit of Turbidite Fan Low Permeability Reservoir Based on Self-Organizing Neural Network Algorithm
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Delineation of Ac Reservoir Sand from Multi-Attribute Analysis of Well and Seismic Data – A Case Study from Awali Field Bahrain
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N/A
Modern Techniques in Wireline Logging - Multiple Workshop Summary
Bill Guy, John Doveton, Raj Kumar, David K. Davies, Bruce Stubbs
PTTC
.... Techniques that make use of existing log data are necessary to maintain cost effectiveness. TECHNOLOGY OVERVIEW New techniques, based on neural networks...
1998
Advanced Applications of Wireline Logging for Improved Oil Recovery - Workshop Summary
Bill Guy, David K. Davies, Raj Kumar, Bruce Stubbs
PTTC
.... Techniques that make use of existing log data are necessary to maintain cost effectiveness. TECHNOLOGY OVERVIEW New techniques, based on neural...
1998
Applied geophysical research for sustainable societies
Yunyue Elita Li, Arthur Cheng
International Meeting for Applied Geoscience and Energy (IMAGE)
... for an increasing population. Singapore constructs high-rise apartment blocks and well-connected road and subway networks to provide sufficient housing...
2022
Cana Woodford: Seismic to Simulation Reservoir Characterization
Mouin Almasoodi, Brad Cage, Ram Jayakumar, Phuong Nguyen, Dwain Veach
Unconventional Resources Technology Conference (URTEC)
.... URTeC 2459904 7 In order to identify facies in non-cored wells, artificial neural networks were used to classify well log data. The maximum number...
2016
Tops fingerprinting: Revolutionizing well log analysis with music recognition technology
Alan Lindsey, Morgan Cox, Aaron Hugen
International Meeting for Applied Geoscience and Energy (IMAGE)
..., false positives are a problem. Convolutional Neural Networks are quite powerful, but require substantial training, and they tend to be a black-box...
2024
Advanced digital tools for passive seismic monitoring of a heavy oil field at Cold Lake, Alberta, Canada
Adarsh Kumar Gupta, Stefano Scaini, Ravi Singh, Simona Costin, Colin Brisco, Raj Janakkumar Bhutwala, Shelly Dutta, Monomita Chattopadhyay, Divyanshu Yadav, Taylor Fink
International Meeting for Applied Geoscience and Energy (IMAGE)
... monitoring networks in the world. The network of monitoring wells typically generates 6000-8000 event files daily, of which historically only 1...
2024
Cloud-Based ROP Prediction and Optimization in Real-Time Using Supervised Machine Learning
Kriti Singh, Sai Sharan Yalamarty, Mohammadreza Kamyab, Curtis Cheatham
Unconventional Resources Technology Conference (URTEC)
... models were tested; random forest/decision trees, 2) artificial neural networks (ANN) / deep learning, and 3) recurrent neural networks (RNN...
2019
Prolog
John H. Doveton
AAPG Special Volumes
... problem is fairly clear-cut. Connectionist theories are used to design neural networks that have the capacity to learn complex patterns End_Page VIII...
1994
2000 AAPG Rocky Mountain Section, September 17-20, 2000, Albuquerque, New Mexico, - Abstracts, #90915 (2000).
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2000
Abstract: Spectral-Velocity Prediction of Geological Section Types and Reservoir Properties (SVP-Technology), by Mikhail Afanasyev; #90163 (2013)
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2013
AAPG Middle East Region Geoscience Technology Workshop
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N/A
AAPG Southwest Section Meeting June 6-8, 2002, Ruidoso, New Mexico U.S.A., - AAPG, #90023 (2003).
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2003
ABSTRACT: Integrated Characterization for CBM : The RECOPOL example; #90013 (2003)
DAN BOSSIE-CODREANU, K. H. A. A. WOLF, HANS BRUINING, BERND KROOSS, ANDREAS BUSCH
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... the layering. Geological interpretation based on cross-sections along with more sophisticated automatic methods were tried (neural networks, FU...
2003
Abstract: Oil Sands Reservoir Characterization: An Integrated Approach; #90171 (2013)
Laurie Weston Bellman
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..., A., 2005, Delineating Productive Reservoir in the Canadian Oil Sands using Neural Networks Approach, CSEG Technical Abstracts. AAPG Search...
2013
The Appropriate Use of Seismic Data for Estimating Petroleum Resources; #120013 (2009)
John Rhodes
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...://www.bsp.com.bn/main/index.asp Singh, V., A.K. Srivastava, D.N. Tiwary, P.K. Painuly, and M. Chandra, 2007, Neural networks and their applications...
2009
Seismic Aids Heterogeneity Hunt, by Satinder Chopra and Yong Xu; #40489 (2010)
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2010
Seismic Analysis of Paleotopography and Stratigraphic Controls on Total Organic Carbon (TOC) Distribution in the Woodford Shale, Oklahoma (U.S.A.), #51353 (2017).
Lennon Infante, Felipe Cardona, Brenton McCallough, Roger Slatt
Search and Discovery.com
... was accomplished by integrating geological, geochemical and geophysical data in probabilistic neural networks obtaining seismic impedancederived TOC...
2017
NATS on WATS seismic imaging, rock property modeling and interpretation using machine-learning techniques to inform reservoir quality and deliverability in the Gulf of Mexico
Peter Lanzarone, Shenghui Li, Kang Fu, Kenny Gullette, Jeff Thompson, Gabriel Ritter
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Baruah, S. Singh, and P. Chaudhuri, 2020, Artificial neural networks in the domain of reservoir characterization: A review from shallow to deep models...
2022