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The AAPG/Datapages Combined Publications Database
Showing 15,647 Results. Searched 200,636 documents.
Abstract: Missing Well-Log Data Prediction Using a Hybrid U-Net and LSTM Network Model; #91212 (2025)
Benard Sasu Oppong, Po Chen, En-Jui Lee, Wu-yu Liao
Search and Discovery.com
...Abstract: Missing Well-Log Data Prediction Using a Hybrid U-Net and LSTM Network Model; #91212 (2025) Benard Sasu Oppong, Po Chen, En-Jui Lee, Wu-yu...
2025
Deep Porosity Prediction in the Norphlet Formation, Alabama: Linking Early Grain Coat Development to Paleo Groundwater Regimes, by Joanna M. Ajdukiewicz, Paul H. Nicholson, Jill Pachell, and Abbas Seyedolali; #90052 (2006)
Search and Discovery.com
2006
2006
Reservoir Quality Assessment: Petrography as a Tool for Deciphering Kinetically-dominated Systems and the Need For Petrographic Education, by Kitty L. Milliken
Search and Discovery.com
N/A
Predicting Stress and Fracture Orientations with Geomechanical Reservoir Models - Lessons Learned from a Case Study, by A. Frischbutter and A. Henk, #40596 (2010).
Search and Discovery.com
2010
Reactive Transport Modeling of Carbonate Diagenesis: Linking Fundamental Geochemical Processes to Reservoir Quality Prediction
Search and Discovery.com
N/A
Identifying geologic facies through seismic dataset-to-dataset transfer learning using convolutional neural networks
Joseph Stitt, Adam Shugar, Rachael Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... it with explicit dataset-to-dataset transfer learning. Our main tuning goal with the implementation of transfer learning is to find the best test prediction result...
2022
Using Simple Loading Models to Predicted Crestal Pore Pressures in Miocene Carbonate Exploration Targets, Luconia, Sarawak
Jakob Heller, Don Basuki, Matthew Choo, Stephen O ‘Connor, Richard Swarbrick
Indonesian Petroleum Association
... which enables traditional pressure prediction techniques to be used. Therefore, in order to provide accurate pore pressure for use in estimation...
2014
Pore Flow Indicator as New Quantitative Approach for Rock Typing in Heterogeneous Reservoir, Main-Massive Formation, Offshore North West Java
Lulus Ilmiawan Saputra, Muhammad Reza
Indonesian Petroleum Association
... and petrography analysis it shows heterogeneous reservoirs. Methodology for rock typing and permeability prediction, gather with geological aspect...
2019
Development of Source Rock Kinetic Models for Fluid Property Prediction in Unconventional Shale Plays: A Case Study from the Permian and Neuquen Basins, #80579 (2017).
Lucia Rodriquez, Changrui Gong
Search and Discovery.com
...Development of Source Rock Kinetic Models for Fluid Property Prediction in Unconventional Shale Plays: A Case Study from the Permian and Neuquen...
2017
Enhancing Lithology Classification through a Deep Learning Framework
P. Zhang, T. Gao, R. Li
Unconventional Resources Technology Conference (URTEC)
... a model and test a machine-learning pipeline, which was then applied to a previously unseen dataset for lithology prediction. A petrophysicist...
2025
Comprehensive Evaluation of Reservoir Quality in the Early Miocene, Kutei Basin, Onshore East Kalimantan
Andromeda Werdaya, Maria Alexandra, Kuntadi Nugrahanto, Rijal Anshori, Albertus Pradipta, Peter Armitage
Indonesian Petroleum Association
...) and overburden stress (mechanical compaction) to the prediction of reservoir deliverability. Macroscopic factors consist of mechanical compaction (depth...
2017
Using Traditional Methods to Predict Pore Pressure in Devonian Black Shale Basins of North East British Columbia
Sam Green, Joel Loeffler, Shona Clarke, David Thurston
Unconventional Resources Technology Conference (URTEC)
... and fracture behavior for the exploitation of these plays. Traditional pore pressure prediction focusses exclusively on clay-rich shales and assumes...
2018
Prediction Project Task Completion Using Supervised Machine Learning Method: A Conceptual Approach
Muhammad Riandhy Anindika Yudhy, Andrey Putra Wijayanto
Indonesian Petroleum Association
...Prediction Project Task Completion Using Supervised Machine Learning Method: A Conceptual Approach Muhammad Riandhy Anindika Yudhy, Andrey Putra...
2022
Integration of Rock Physics Modelling to Improve Pore Pressure Prediction in Unconventional Shales
Jakob Heller, Venkatesh Anantharamu
Unconventional Resources Technology Conference (URTEC)
...Integration of Rock Physics Modelling to Improve Pore Pressure Prediction in Unconventional Shales Jakob Heller, Venkatesh Anantharamu URTeC: 3222...
2020
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)
..., height and orientation obtained from microseismic data. Geological and engineering features influencing the SRR were identified and extracted. Prediction...
2024
Automatic rock strength prediction in data-limited wells
Max Millen, Scott Mildren, Thomas Flottmann
Australian Energy Producers Journal
...Automatic rock strength prediction in data-limited wells Max Millen, Scott Mildren, Thomas Flottmann PEER-REVIEWED PAPER https://doi.org...
2025
Abstract: Geological Evaluation of Fractured Reservoirs
Ronald A. Nelson
Earth Science Bulletin (WGA)
... of a fractured reservoir, during either exploration or early development phases. As such, prediction rather than detection will be emphasized. Early...
1982
ABSTRACT: Resistivity Modeling and Neural Network Synthetics—Powerful New Exploration and Development Tools
Steven M. Goolsby, Jeff S. Arbogast
Kansas Geological Society
... powerful exploration and development tools. Applications include accurate reserve prediction, completion strategies, reservoir modeling...
1999
New Resolution in Seismic: Abstract
Fred J. Hilterman
CSPG Special Publications
... traps and predicting their shape and petrophysical properties. Efforts to improve the prediction accuracy (seismic resolution) also involve...
1980
The Interaction of Tectonics and the Sedimentary Record; The Miocene of the Sakhalin Shelf
Matthew Brettle, Ian Glenister, Richard Barrett, Sussanne Witte, Graham Tiley
Southeast Asia Petroleum Exploration Society (SEAPEX)
... and allows for prediction of reservoir presence and amount of sediment. Tectonic elements present in the area are Pacific subduction, back-arc...
2005
The Value of a Complete Picture: The Role of the Permian Basin in Local and Global Deep-Marine Resource Development
Michael H. Gardner
West Texas Geological Society
... controls, and (5) development of quantitative geologic rules for reservoir prediction based on sedimentary attributes correlated to the physical...
2009
Using Seismic Attributes to Delineate Fractures
Satinder Chopra, Kurt J. Marfurt
West Texas Geological Society
... of the reservoir thickness, rigidity, and tectonic deformation style. Fracture prediction from surface seismic data can be either direct or indirect...
2010
Abstract: Using Seismic Attributes to Delineate Fractures
Satinder Chopra, Kurt J. Marfurt
West Texas Geological Society
... are a function of the reservoir thickness, rigidity, and tectonic deformation style. Fracture prediction from surface seismic data can be either direct...
2010