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The AAPG/Datapages Combined Publications Database
Showing 55,892 Results. Searched 195,364 documents.
How to Illuminate the Reservoir from Surface Seismic Data? Integrated Deep Learning Aided Waveform Inversion
Search and Discovery.com
N/A
Convolution Neural Networks If They can Identify an Oncoming Car, can They Identify Lithofacies in Core?; #42312 (2018)
Rafael Pires de Lima, Fnu Suriamin, Kurt Marfurt, Matthew Pranter, Gerilyn Soreghan
Search and Discovery.com
... consists of hundreds of mixed-object categories and millions of images. Although machine learning has been significantly used in geoscience fields...
2018
A Physics-Guided Deep Learning Predictive Model for Robust Production Forecasting and Diagnostics in Unconventional Wells
Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Unconventional Resources Technology Conference (URTEC)
.... 702 – 715. Bressan T. S., Souza M. Kehl de, Girelli T. J., Junior F. C. (2020) Evaluation of machine learning methods for lithology classification using...
2021
Abstract: Machine Learning Prediction of Slope Channel Facies Using Outcrop Analog Data, Tres Pasos Formation, Magallanes Basin, Chile; #91201 (2022)
Patrick Ronnau, Lisa Stright, Stephen M. Hubbard, and Brian W. Romans
Search and Discovery.com
...Abstract: Machine Learning Prediction of Slope Channel Facies Using Outcrop Analog Data, Tres Pasos Formation, Magallanes Basin, Chile; #91201 (2022...
Unknown
Abstract: Integration of Multiple Seismic Tools to Identify Thin Tight Carbonate Reservoir in Northern Kuwait Field; #91204 (2023)
Abdulaziz Al-Busairi, Talal Al-Ghais, Subrata Bhukta, Reyad Abu-Taleb, Meshal Al-Wadi, Balqees Al-Ibrahim, Duaa Al-Kandari
Search and Discovery.com
... the waveform inversion, geostatistical waveform classification and machine learning based tools like the probabilistic fault-likelihood and thin-likelihood...
2023
An Approach in Caving Recognition by An Integrated Model of Computer Vision and Machine Learning for Any Drilling Environment, #42374 (2019).
Carlos A. Izurieta, Luis A. Rocha, Dan Sui,
Search and Discovery.com
.... This process is done automatically by the algorithm. Selected References Bestagini, P., V. Lipari, and S. Tubaro, 2017, A Machine Learning Approach to Facies...
2019
Application of Artificial Intelligence on Black Shale Lithofacies Prediction in Marcellus Shale, Appalachian Basin
Guochang Wang, Yiwen Ju, Timothy R. Carr, Chaofeng Li, Guojian Cheng
Unconventional Resources Technology Conference (URTEC)
... neural network (ANN), and support vector machine (SVM), can solve complex nonlinear problems. In addition, learning algorithms based on AI could also...
2014
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)
... by anyone other than the author without the written consent of LA URTeC is prohibited. Abstract The strength of Machine Learning-based technology is its...
2023
Abstract: Machine Learning Predicted S-Sonic Log and Facies Driven Modelling: A Seismic Reservoir Characterization Approach; #91204 (2023)
Shraddha Chatterjee, Santan Kumar, Felipe Melo, Veronica Perez, ChungShen Lee
Search and Discovery.com
...Abstract: Machine Learning Predicted S-Sonic Log and Facies Driven Modelling: A Seismic Reservoir Characterization Approach; #91204 (2023) Shraddha...
2023
Using machine learning to predict total organic content case study: Canning Basin, Western Australia
Russell Menezes
Petroleum Exploration Society of Australia (PESA)
...Using machine learning to predict total organic content case study: Canning Basin, Western Australia Russell Menezes Using machine learning...
2019
Supervised and Unsupervised Neural Networks Technique in Facies Classification and Interpretation
Jayanti Anggraini, Mega Ardhiani Puspa
Indonesian Petroleum Association
...Supervised and Unsupervised Neural Networks Technique in Facies Classification and Interpretation Jayanti Anggraini, Mega Ardhiani Puspa © IPA, 2011...
2008
Seismic Facies Segmentation Using Deep Learning; #42286 (2018)
Daniel Chevitarese, Daniela Szwarcman, Reinaldo Mozart D. Silva, Emilio Vital Brazil
Search and Discovery.com
...Seismic Facies Segmentation Using Deep Learning; #42286 (2018) Daniel Chevitarese, Daniela Szwarcman, Reinaldo Mozart D. Silva, Emilio Vital Brazil...
2018
Application of Data Analytics for Production Optimization in Unconventional Reservoirs: A Critical Review
Srikanta Mishra, Luan Lin
Unconventional Resources Technology Conference (URTEC)
... CJ, 1984. Classification and Regression trees. Monterey, CA: Wadsworth and Brooks/Cole; 1984. 6. Breiman, L. 2001. Random forests, Machine Learning...
2017
3D seismic image-to-image translation
Xiaolei Song, Muhong Zhou, Lifeng Wang, Rodney Johnston
International Meeting for Applied Geoscience and Energy (IMAGE)
... based on machine learning, using two 3D input datasets of different characteristics and spatial extent. We would like to share our experience of training...
2023
Some Machine Learning Applications in Seismic Interpretation; #42270 (2018)
Satinder Chopra, David Lubo-Robles, Kurt J. Marfurt
Search and Discovery.com
...Some Machine Learning Applications in Seismic Interpretation; #42270 (2018) Satinder Chopra, David Lubo-Robles, Kurt J. Marfurt GC Some Machine...
2018
A NN Supported Seismic Workflow to Create New Exploration Concepts Offshore Bahrain
Search and Discovery.com
N/A
Integrating Geostatistical Modeling with Machine Learning for Production Forecast in Shale Reservoirs: Case Study from Eagle Ford
Alexander Bakay, Jef Caers, Tapan Mukerji, Yan Dong, Arnulfo Briceno, Devery Neumann
Unconventional Resources Technology Conference (URTEC)
.... We account for local effects by using cokriging to merge total production from nearby wells with the production from machine learning-based...
2019
Anisotropic Reservoir Characterization Based on Support Vector Machine Technique
Search and Discovery.com
...Anisotropic Reservoir Characterization Based on Support Vector Machine Technique Anisotropic Reservoir Characterization Based on Support Vector...
2013
Abstract: Close-the-Loop Log Property Modeling Using Semi-Unsupervised Learning as a Proxy for Facies Classification;
Sher Didi-Ooi, Andrew Derenthal, Michael Pyrcz, Christian Noll
Search and Discovery.com
...Abstract: Close-the-Loop Log Property Modeling Using Semi-Unsupervised Learning as a Proxy for Facies Classification; Sher Didi-Ooi, Andrew Derenthal...
Unknown
Seismic Quantitative Analysis for Physical-Based Deep Learning: The Teapot Dome and Niobrara Shale Examples
Nicolas Martin, Maria Donati
Unconventional Resources Technology Conference (URTEC)
... and validation performance for fracture density classification (MATLAB Statistics and Machine Learning Toolbox™) 11 URTeC 2900 The results of applying...
2020
Optimizing Completions Strategies Using Low-Cost Data Learning
Antoine Jacques, Clement Daguet-Schott, Anthony Billat, Benoit Brouard
Unconventional Resources Technology Conference (URTEC)
... relations based on only two wells usually is proscribed. Instead, machine-learning models should be deployed to find relations between facies...
2022
Do We Really Need Deep Learning? A Study on Play Identification using SEM Images
Hanyan Zhang, Max T. Kasumov, Deepak Devegowda, Mark E. Curtis
Unconventional Resources Technology Conference (URTEC)
... to identify vuggy facies using borehole-resistivity images from a well in the Arbuckle Group in Kansas. Core image classification is also another...
2021
Seismic Facies Segmentation Using Deep Learning
Search and Discovery.com
N/A
Abstract: Integrated Reservoir Characterisation with Three Dimensional Modeling in Thin Bed Low Resistivity Natural Gas Exploration
Yen Jun Lim, Shyh Zung Lo
Geological Society of Malaysia (GSM)
... neural network facies classification, machine learning well correlation, and automated fault interpretation. With the final geological model produced from...
2017
Implementation of Denoising Diffusion Probability Model for Seismic Interpretation
Fan Jiang, Konstantin Osypov, Julianna Toms
International Meeting for Applied Geoscience and Energy (IMAGE)
... In this abstract, we show a novel machine learning-based diffusion model for seismic interpretation. In geophysics, reconstructing the subsurface structure from...
2023