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The AAPG/Datapages Combined Publications Database
Showing 2,437 Results. Searched 200,357 documents.
Inversión Sísmica de un Modelo Teórico Calculado Sobre un Horizonte Sísmico Utilizando Redes Neuronales [PAPER IN SPANISH] Seismic Inversion of a Theoretical Model Calculated on a Seismic Horizon Using Neural Networks
Dario Sergio Cersosimo, Claudia Ravazoli, Garcia Martinez Ramon
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... of a Theoretical Model Calculated on a Seismic Horizon Using Neural Networks Dario Sergio Cersosimo, Claudia Ravazoli, Garcia Martinez Ramon INVERSIÓN SÍSMICA...
2004
High-resolution angle gather tomography with Fourier neural operators
Sean Crawley, Guanghui Huang, Ramzi Djebbi, Jaime Ramos, Nizar Chemingui
International Meeting for Applied Geoscience and Energy (IMAGE)
... global convolutions, efficiently computed with FFTs, rather than local operators typically used by convolution neural networks (CNNs). FNOs...
2023
Abstract: Integration of Multi Scale Data in Facies Modeling using Neural Network; #90171 (2013)
Khaled Benzaoui and Tom Cox
Search and Discovery.com
... step 3 and the facies probability cubes from step 2. The facies probabilities are used as global probability for the SIS. What is Neural Networks...
2013
Abstract: Integration of Multi Scale Data in Facies Modeling using Neural Network; #90171 (2013)
Khaled Benzaoui and Tom Cox
Search and Discovery.com
... step 3 and the facies probability cubes from step 2. The facies probabilities are used as global probability for the SIS. What is Neural Networks...
2013
Seismic imaging uncertainty using deep learning predicted Greens functions
Han Liu, Anar Yusifov, Muhong Zhou, Linda Hodgson
International Meeting for Applied Geoscience and Energy (IMAGE)
... a novel method of producing ensembles of seismic images from ensembles of velocity models using a deep learning neural network. First, the neural networks...
2022
Seafloor elastic parameters estimation using a regression neural network
Moacyr de Souza Bezerra, James Simmons, James Gaiser
International Meeting for Applied Geoscience and Energy (IMAGE)
... gaining popularity in geophysics is the use of machine learning engines such as neural networks. Usually employed for image recognition or classification...
2022
Application of Common Contour Binning (CCB) and Back Propagation Neural Network (BPNN) for Oil Water Contact Prediction in Carbonate Reservoir (The Case Study at G404 Field)
Wahyu Tri Sutrisno, Septian Prahastudhi, Ayi Syaeful Bahri, Yulia Putri Wulandari
Indonesian Petroleum Association
... processing unit with each input is then used to calculate a sigmoid function output (Saemi, 2007). A sigmoid binary function is used in neural networks...
2013
ABSTRACT: Generating Missing Logs - Techniques and Pitfalls; #90013 (2003)
Michael Holmes, Dominic Holmes, Antony Holmes
Search and Discovery.com
... intervals or entire wells. Neural networks are becoming a fashionable method to fill in missing data, and are powerful. The basic methodology is to train...
2003
Facies and Rock Type Prediction in a Heterogenous Environment Shale Oil, An Argentina Case Study
Bruno de Ribet, Maximiliano Garcia Torrejon, Luis Vernengo, Juan Moirano
Unconventional Resources Technology Conference (URTEC)
.... Introduction Machine Learning and Neural Networks are now commonly used in both the traditional oil and gas industry and in activities related to energy...
2023
Abstract: Integrating Well and Seismic Data for Facies Prediction: A Case Study; #90319 (2018)
Rick Leaver, Afrah S. Al-Ajmi, Fatma Al-Otaibi, Ghadna Zeraie, Prabir Kumar Nath, Subratah Bhukta, Bruno De Ribet, Tom Trowbridge, Osamah Al-Bannaw
Search and Discovery.com
... extracted from wells is used to train a first set of neural networks. Soft data taken away from wells is used to stabilize the neural network training...
2018
Reservoir architecture and porosity distribution, Pegasus Field, West Texas — an integrated sequence stratigraphic-seismic attribute study using neural networks
J. S. Schuelke, J. A. Quirein, J. F. Sarg, D. A. Altany, P. E. Hunt
West Texas Geological Society
... neural networks J. S. Schuelke, J. A. Quirein, J. F. Sarg, D. A. Altany, P. E. Hunt 1999 4 7 Vol. 38 (1999) No. 9. (May) An, P. and Moon, W.M., 1993...
1999
Earthquake Detection and Focal Mechanism Calculation Using Artificial Intelligence
Shane Quimby, Yanwei Zhao, Jie Zhang, GeoTomo
Unconventional Resources Technology Conference (URTEC)
... to propose a novel deep convolutional neural network Focal Mechanism Network (FMNet) for estimating the location, magnitude and source focal mechanisms...
2022
Physics-Constrained Deep Learning for Production Forecast in Tight Reservoirs
Nguyen T. Le, Roman J. Shor, Zhuoheng Chen
Unconventional Resources Technology Conference (URTEC)
... and recurrent neural networks are trained on historical production data to predict future responses. The physics-constrained model is compared...
2021
Fracture Network Characterization of Naturally Fractured Reservoir Using Artificial Neural Network and Fractal Methods
Doddy Abdassah, Sani O. Wahyu
Indonesian Petroleum Association
... Neural Networks, Geomechanics and 3-D Seismic, SPE Paper # 30722, New Mexico. 3. Ershaghi, I., 1996, Naturally Fractured Reservoir: A summer Course...
1998
Enhancing Pre-Stack Seismic Inversion Using Neural Networks for Clastic Reservoir Characterization Simian Field, Offshore Nile Delta, Egypt; #20413 (2018)
Wael Said, Islam A. Mohamed, Ahmed Ali
Search and Discovery.com
...Enhancing Pre-Stack Seismic Inversion Using Neural Networks for Clastic Reservoir Characterization Simian Field, Offshore Nile Delta, Egypt; #20413...
2018
Coalbed Methane Production Parameter Prediction and Uncertainty Analysis of Coalbed Methane Reservoir with Artificial Neural Networks
Harry Ramadhan Sumardi, Dedy Irawan
Indonesian Petroleum Association
...Coalbed Methane Production Parameter Prediction and Uncertainty Analysis of Coalbed Methane Reservoir with Artificial Neural Networks Harry Ramadhan...
2016
Applying Conditional Generative Adversarial Networks for Seismic Data Reconstruction
Search and Discovery.com
N/A
Abstract: Supporting the Training of Physics Informed Neural Networks for Seismic Inversion Using Provenance;
Renan Souza, Andres Codas, Alberto Nogueira Junior, Joao Almeida, Miguel Quiñones, Leonardo Azevedo, Raphael Thiago, Elton Soares, Marcelo Costalonga Cardoso, Leonardo Martins
Search and Discovery.com
...Abstract: Supporting the Training of Physics Informed Neural Networks for Seismic Inversion Using Provenance; Renan Souza, Andres Codas, Alberto...
Unknown
Full-waveform inversion using velocity-encoded physics-informed neural networks
Mohammad Taufik, Xinquan Huang, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...Full-waveform inversion using velocity-encoded physics-informed neural networks Mohammad Taufik, Xinquan Huang, Tariq Alkhalifah Full waveform...
2024
Meta-Attributes: A New Concept for Reservoir Characterization and Seismic Anomaly Detection
Fred Aminzadeh
GCAGS Transactions
... to detect a particular feature. One of the main features of the meta-attribute concept is combining "artificial intelligence" of neural networks...
2003
PINNslope: Physics-informed neural network slope prediction and interpolation with positional encoding
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
... slope attribute. The implementation comprises two fully-connected neural networks trained using the local plane wave differential equation as well...
2023
Abstract: Characterization of Heavy Oil Reservoir using Vp/Vs Ratio and Neural Network Analysis; #90171 (2013)
Carmen C. Dumitrescu and Larry Lines
Search and Discovery.com
... validation, 2. train neural networks to establish the nonlinear relationships between seismic attributes and reservoir properties at well locations, 3...
2013
Abstract: Characterization of Heavy Oil Reservoir using Vp/Vs Ratio and Neural Network Analysis; #90171 (2013)
Carmen C. Dumitrescu and Larry Lines
Search and Discovery.com
... validation, 2. train neural networks to establish the nonlinear relationships between seismic attributes and reservoir properties at well locations, 3...
2013
Neural Network Application for Frontier Exploration: East/Central African Rift Example, Valentina Baranova, Azer Mustaqeem, #41278 (2014)
Francis Karanja, Danson Mburu
Search and Discovery.com
... , ·s -km Figure 1. East Africa Rift system (South Anza Basin – Anza Rift) 60 0 Figure 2. Application of Supervised Neural Networks, description...
2014
Seismic impedance inversion via neural networks and linear optimization algorithm
Bo Zhang, Yitao Pu, Ruiqi Dai, Danping Cao
International Meeting for Applied Geoscience and Energy (IMAGE)
...Seismic impedance inversion via neural networks and linear optimization algorithm Bo Zhang, Yitao Pu, Ruiqi Dai, Danping Cao Seismic impedance...
2024