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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,639 documents.
The Petroleum Endowments of the Total Petroleum Systems in the Middle East and North Africa Tethys, #10244 (2010)
Thomas S. Ahlbrandt
Search and Discovery.com
... and Southwestern Deserts of Iraq: GeoArabia, v. 3,/2, p. 229-247. Bishop, C., 1995, Neural Networks for Pattern Recognition: Oxford University Press, v...
2010
Diagenesis Impact on Permeability of a Large Carbonate Reservoir, #20279 (2014).
Irene Cantarero, Anna Trave, Xiomara Marquez, Noureddine Bounoua
Search and Discovery.com
... characterisation and artificial neural networks reveals complexity in the Shuaiba reservoir, Al Shaheen Field. IPTC-17639. Nader FH, De Boever E...
2014
The Impact of Dedolomitization on Reservoir Quality of the Upper Permian Zechstein-2-Carbonate, NW Germany; #51010 (2014)
Johannes Schoenherr, Lars Reuning, Katharina Wimmers, Sven Fellmin, Jörg Smodej, Sascha Kuske, Franz J. Brauckmann, Franco V. Corona, Christian J. Strohmenger, Sean Guidry
Search and Discovery.com
... Models and Neural Networks, in J.A. Kupecz, J. Gluyas, and S. Bloch, eds., Reservoir Quality Prediction in Sandstones and Carbonates: AAPG Memoir 69, p...
2014
Seismic Facies Analysis Using Generative Topographic Mapping; #41717 (2015)
Satinder Chopra, Kurt Marfurt
Search and Discovery.com
... Analysis and Cluster Analysis Supervised 1. Artificial Neural Networks (ANN) 2. Support Vector Machines (SVM) Unsupervised 1. Kohonen Self Organizing...
2015
Mapping Middle Triassic Doig Sandstone Reservoirs in Northeast British Columbia Using Seismic Attributes; #51080 (2015)
Satinder Chopra, Ritesh Kumar Sharma, James Keay
Search and Discovery.com
... would indicate seismic facies variation at the target level. One approach to pattern recognition is with the use of neural networks to compare seismic...
2015
Free and Almost Free Petroleum Information: Low-Cost and Open-Source Software; #70209 (2016)
Susan Smith Nash
Search and Discovery.com
... – Written in C++ and consists of an open-source class library which implements neural networks. Most appropriate for advanced users who can program...
2016
Application of Unconformity Identification and Evaluation in the Optimizing of Offshore Oilfield Development Plan: A Case Study of CFD Oilfield in Bohai Bay Basin, #20388 (2017).
Yang Wei, Meng Peng, Bai Qingyun, Zhu Meng, Quan Bo
Search and Discovery.com
... of seismic data. In this method, multi-layer neural networks as well as genetic algorithms are combined together in order to provide a robust...
2017
The AAPG Century Giant Fields through the Decades, #70267 (2017).
Robert K. Merrill, Charles A. Sternbach
Search and Discovery.com
...” ¾ Technological integration: The ingenuity of the combined disciplines 9 9 9 9 9 “Big Data” – Parallel processing & Neural networks Understanding...
2017
Completion Optimization in Barnett Shale Using Drilling Data for a Geologically and Geomechanically Constrained 3D Frac Simulator and Fast Reservoir Simulation; #42306 (2018)
R. Dirksen, S. Poludasu, D. Fairchild, S. Rehman, A. Ouenes
Search and Discovery.com
... properties that need to be estimated with neural networks (Jenkins et al., 2009) and other machine learning tools able to capture the complex geologic reasons...
2018
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AAPG MC Section Meetings
Search and Discovery.com
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Regional Controls on Oil Accumulations, Lower Brushy Canyon Formation, Southeast New Mexico
Ronald F. Broadhead, Heidi A. Justman
West Texas Geological Society
... and will utilize a complex system of neural networks to mathematically analyze imprecise and nonexplicit parameters and values related...
2000
Characterizing a Mississippian Tripolitic Chert Reservoir Using 3D Unsupervised Multi-attribute Seismic Facies Analysis
Atish Roy, Benjamin L. Dowdell, Kurt J. Marfurt
Oklahoma City Geological Society
... attributes and neural networks: The Leading Edge, v. 21, p. 1042–1049. White, G.H., in prep., Calibration of surface seismic attributes to natural...
2013
Seismic to Simulation: Woodford Shale Case Study in Oklahoma, USA
Emilio J. Torres-Parada, Saurabh Sinha, Lennon E. Infante-Paez, Roger M. Slatt, Kurt Marfurt
Unconventional Resources Technology Conference (URTEC)
..., Identifying fault and gas chimneys using multi-attributes and neural networks: The Leading Edge, 20, 474–482. doi:10.1190/1.1438976 Miceli Romero...
2018
Identification and Quantification of Parasequences Using Expectation Maximization Filter: Defining Well Log Attributes for Reservoir Characterization
Saurabh Sinha, Raj Kiran, Javier Tellez, Kurt Marfurt
Unconventional Resources Technology Conference (URTEC)
... using neural networks is that our methodology does not require training from the well logs. As in work workflow, the algorithm depends on distributional...
2019
Permian Delaware Basin Wolfcamp A Formation Productivity Analysis and Technically Recoverable Resource Assessment
Qian Yang, Frank Male, Svetlana A. Ikonnikova, Katie Smye, Guin McDaid, Emery Goodman
Unconventional Resources Technology Conference (URTEC)
... (GBR), and Neural Networks (e.g., Shelly et al., 2014; Gupta et al., 2014; Schuetter et al., 2015; Zhong et al., 2015; Ikonnikova et al., 2018...
2020
Characterization of Hydraulic Fracture Properties in Eagle Ford Shale Oil Reservoir Using EDFM-AI with Two Fracture Design Scenarios
Chuxi Liu, Anuj Gupta, Wei Yu, Ravimadhav N. Vaidya, Ning Li, Kamy Sepehrnoori
Unconventional Resources Technology Conference (URTEC)
... explored simple and basic proxy models such as k-nearest neighbor (KNN), polynomial, and, artificial neural networks (ANN). These proxy models can suffer...
2021
Real Time Torque and Drag Analysis by Combining of Physical Model and Machine Learning Method
Kankan Bai, Honghai Fan, Hongbao Zhang, Fei Zhou, Xingang Tao
Unconventional Resources Technology Conference (URTEC)
... and non time-series data during drilling. Elzenary and Mahmoud Nader (2021) developed down-hole torque models using artificial neural networks (ANN...
2022
Estimation of Stimulated Reservoir Region for Hydraulic Fracturing in Shale Gas Well Based on Ensemble Learning Algorithm
Yang Luo, Bo Kang, Yan Feng, Hehua Wang, Zhongrong Mi, Yi Cheng, Yong Xiao, Xing Zhao, Jianchun Guo, Cong Lu
Unconventional Resources Technology Conference (URTEC)
... predictions. Advances in Neural Information Processing Systems, 2017, 30. Luo Y, Guo J C, Zeng F H, et al., 2022. Optimization method of hydraulic...
2024
Theory and Methodology for Seismic Texture Analysis: Implications for Seismic Facies Visualization and Interpretation
Dengliang Gao
GCAGS Transactions
...: Application to seismic facies visualization and interpretation: Geophysics, v. 69, p. 958-967. Gurney, K., 1997, An introduction to neural networks: UCL...
2006
Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-based Numerical Modeling and Machine Learning
Alireza Haghighat, Toby Burrough
Unconventional Resources Technology Conference (URTEC)
..., Neural Networks, Decision Tree, Support Vector Machine, etc. (Tavasoli, 2024). In this study, the authors utilized an ensemble-tree based algorithm...
2024
AAPG Annual Convention and Exhibition 2020; - Abstracts, #91200 (2022).
Search and Discovery.com
2022
Application of Seismic Attributes and Neural Network for Sand Probability Prediction A Case Study in the North Malay Basin
Jianyong Hou, Toshihiro Takahashi, Arata Katoh, Suwit Jaroonsitha, Khun Puvanat Chumsena, Kazuo Nakayama
Geological Society of Malaysia (GSM)
...Application of Seismic Attributes and Neural Network for Sand Probability Prediction A Case Study in the North Malay Basin Jianyong Hou, Toshihiro...
2008
Petroleum Analytics Learning Machine to Forecast Production in the Wet Gas Marcellus Shale
Roger N. Anderson, Boyi Xie, Leon Wu, Arthur A. Kressner, Joseph H. Frantz Jr., Matthew A. Ockree, Kenneth G. Brown
Unconventional Resources Technology Conference (URTEC)
... models, nearest neighbors, neural networks and ensemble methods, e.g. random forest and gradient boosting machines (Figure 2), to model oil and gas...
2016
Transfer Learning for Scalable Optimization of Unconventional Field Operations
Hector Klie, Bicheng Yan, Arturo Klie
Unconventional Resources Technology Conference (URTEC)
... approach (MAML) that has been successfully applied for bootstrapping deep neural networks learnings on new classification or regression problems (Finn et al...
2020