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The AAPG/Datapages Combined Publications Database
Showing 15,647 Results. Searched 200,636 documents.
Abstract: Fracture Prediction From 3D Strain Variations Using New Kinematic Flow Algorithms for Hanging-wall Deformation, by A. Gibbs, P Griffiths, T Murray, R Osborn, and N. Salter; #90937 (1998)
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1998
Abstract: Fracture Prediction From 3D Strain Variations Using New Kinematic Flow Algorithms for Hanging-wall Deformation, by A. Gibbs, P Griffiths, T Murray, R Osborn, and N. Salter; #90928 (1999).
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1999
Abstract: Reservoir Petrofacies: a Tool for Quality Characterization and Prediction; #90063 (2007)
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2007
Abstract: Integrating Geology and Velocity Data to Constrain Pressure Prediction in Foldbelts; #90063 (2007)
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2007
Abstract: Reservoir Petrofacies: a Tool for Quality Characterization and Prediction; #90063 (2007)
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2007
Abstract: Basin Modeling Approach to Fault Seal Prediction through Geologic Time; #90063 (2007)
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2007
Abstract: Uncertainty in Reservoir Parameter Estimation From Attributes; #90063 (2007)
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2007
2008
Best Practices in Deepwater Exploration Projects: From Stratigraphy to Seismic Interpretation To Prediction Of Reservoirs And Prospect Risking.
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Hydrocarbon Accumulation Uncertainty in Miocene Carbonate Build-Ups, NEJB
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TOC Prediction Analysis of Utica-Point Pleasant Formations in the Appalachian Basin, #51283 (2016).
Guochang Wang, Alireza Shahkarami, Jonathan Bruno
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...TOC Prediction Analysis of Utica-Point Pleasant Formations in the Appalachian Basin, #51283 (2016). Guochang Wang, Alireza Shahkarami, Jonathan...
2016
Modeling of Deep Subsurface Petroleum Biodegradation and the Effective Prediction of Petroleum Fluid Properties in Exploration and Production Settings
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Applying Rock Physic Models for Optimized Pore Pressure Prediction
Joel K. Loeffler, Sam Green, Jakob Heller, Lev Vernik
GCAGS Transactions
...Applying Rock Physic Models for Optimized Pore Pressure Prediction Joel K. Loeffler, Sam Green, Jakob Heller, Lev Vernik 2020 169 181 Vol. 70 (2020...
2020
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)
...Facies and Rock Type Prediction in a Heterogenous Environment Shale Oil, An Argentina Case Study Bruno de Ribet, Maximiliano Garcia Torrejon, Luis...
2023
Machine-learning prediction of slope channel facies using outcrop analog data: Tres Pasos Formation, Magallanes Basin, Chile
Patrick Ronnau, Lisa Stright, Stephen M. Hubbard, Brian W. Romans
International Meeting for Applied Geoscience and Energy (IMAGE)
...Machine-learning prediction of slope channel facies using outcrop analog data: Tres Pasos Formation, Magallanes Basin, Chile Patrick Ronnau, Lisa...
2022
Deep water OBN multiple prediction from local reflectivity in the Stolt domain
Cesar Ricardez
International Meeting for Applied Geoscience and Energy (IMAGE)
...Deep water OBN multiple prediction from local reflectivity in the Stolt domain Cesar Ricardez Deep water OBN multiple prediction from local...
2024
Environment of Deposition Modeling From Rock/Log Model Approach
C. C. Segrest, D. K. Davies
West Texas Geological Society
...Environment of Deposition Modeling From Rock/Log Model Approach C. C. Segrest, D. K. Davies 1999 119 122 This paper presents a method for prediction...
1999
Abstracts: Fracture Prediction Verified by Well Results and Forward Modeling; #90173 (2015)
Brian H. Link, Inga Y. Khromova, and Alexander S. Kostyukevych
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...Abstracts: Fracture Prediction Verified by Well Results and Forward Modeling; #90173 (2015) Brian H. Link, Inga Y. Khromova, and Alexander...
2015
Evaluation of Radial Basis Function Neural Networks in Reservoir Characterization of Caddo Member in Boonsville Field, Texas, #20219 (2013)
Tao Zhao, Kumar Ramachandran
Search and Discovery.com
... are evaluated in the application of porosity prediction. The structure of a typical RBF network is composed of an input layer, an output layer...
2013
Chapter 13: Linking Cognitive Science and Disciplinary Geoscience Practice: The Importance of the Conceptual Model
Thomas F. Shipley, Basil Tikoff
AAPG Special Volumes
... consider the practice and goals of structural geology within an observation-prediction framework, adapted from the perception-action framework of Ulric...
2016
Deep-learning application of salt geometry detection in deep water Brazil
Ruichao Ye, Anatoly Baumstein, Kirk A. Wagenvelt, Erik R. Neumann
International Meeting for Applied Geoscience and Energy (IMAGE)
... a sophisticated neural network architecture with multiple output channels, we enable the training-prediction procedure to benefit from an expansion of available...
2022
Reservoir prediction using graph-regularized deep learning
Kaiheng Sang, Nanying Lan, Fanchang Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
...Reservoir prediction using graph-regularized deep learning Kaiheng Sang, Nanying Lan, Fanchang Zhang Reservoir prediction using graph regularized...
2022
Neural Network Application on Selection of the Best Correlation of Multiphase Flow in Pipes
Riko Abdillah, Tutuka Ariadji
Indonesian Petroleum Association
... of training data, 6 sets of crossvalidated data, and 13 sets of prediction data. The models were structured in several forms depending on the number...
2003
Integrated In-House Fuel and Flare Prediction Practical Tool for Predicting Short and Long Term Fuel and Flare Needs of E&P Production Facilities to Identify Savings and Improve Gas Production Forecast
Dwi Riyanto, Moncef Attia
Indonesian Petroleum Association
...Integrated In-House Fuel and Flare Prediction Practical Tool for Predicting Short and Long Term Fuel and Flare Needs of E&P Production Facilities...
2017