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The AAPG/Datapages Combined Publications Database
Showing 14,643 Results. Searched 195,387 documents.
The pore pressure regime of the northern Gulf of Mexico: Geostatistical estimation and regional controls
Scott Morris, Brian Vestal, Kelsey O’Neill, Michael Moretti, Cesar Franco, Nathan Hitchings, Jianmin Zhang, and John D. Grace
AAPG Bulletin
..., U.S.A.: GCAGS Journal, v. 1, p. 97–106.Carcione, J. M. and H. B. Helle, 2002, Rock physics of geopressure and prediction of abnormal pore fluid...
2015
Abstract: Seismic Pressure Prediction Method Addresses Problem Common in Deepwater Gulf of Mexico
Rudy Wilhelm
Houston Geological Society Bulletin
...Abstract: Seismic Pressure Prediction Method Addresses Problem Common in Deepwater Gulf of Mexico Rudy Wilhelm 1999 15 15 The analysis...
1999
Abstract: Prediction of Porosity in Permian (Zechstein 2) Carbonate Rocks of Eastern Netherlands from Seismic Data, by G. T. Maureau, D. H. Van Wijhe; #90961 (1978).
Search and Discovery.com
1978
ABSTRACT: Anadiagenetic Versus Epidiagenetic Abnormal Pore Pressure: Relationship Between Pressure Origin, Timing, and Methods of Prediction, by Oscar L. Jensen; #91038 (2010)
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2010
Porosity and Reservoir Quality Prediction in the St. Peter Sandstone, Illinois Basin, by A. P. Byrnes and M. D. Wilson; #90986 (1994).
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1994
Permeability Prediction Using Artificial Neural Networks, by J. H. Fang, H. C. Chen, D. Kopaska-Merkel; #90986 (1994).
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1994
Abstract: Success and Failure in Pressure Prediction Using Seismic Velocities in Deep Water Environments, by P. D. Heppard, M. L. Albertin, B. E. Wagner, and D. J. Bettencourtt; #90923 (1999)
Search and Discovery.com
1999
Abstract: Fracture Prediction with a 3-D Finite Element Diagenetic, Hydrologic, Mechanical Model, by John Comer, Anthony J. Park, Dorothy F. Payne, Kagan Tuncay, and Peter J. Ortoleva; #90914(2000)
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2000
ABSTRACT: An Integrated Approach to Pressure Prediction from 3D Seismic Data, by Mike French and Dr. Nader Dutta; #90913(2000).
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2000
ABSTRACT: Easy_Fest versus BDI-Uncertainties in Pre-drill Prediction of Biodegradation Degree in Subsurface Petroleum Reservoirs, by Wilhelms, Arnd, Michael Erdmann, Steve R. Larter.; #90026 (2004)
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2004
Abstract: Along-Fault Flow Processes and Prediction, by Rob Knipe, Steve Freeman, Simon Harris, Russell Davies, Quentin Fisher, Christine Souque, Michael Welch, and Gavin Lewis; #90066 (2007)
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2007
Abstract: Improved Prediction of Depositional Elements in Mixed-Process Coastal Depositional Systems, by R. Bruce Ainsworth and Boyan K. Vakarelov; #90078 (2008)
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2008
Abstract: Reservoir Porosity and Permeability Prediction from Petrographic Data Using Artificial Neural Network - A Case Study from Saudi Arabia, by Osman M. Abdullatif and Mohamed Sitouah; #90105 (2010)
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2010
ABSTRACT: Pre-Drill Prediction of Hydrocarbon Charge: Microseepage-Based Prediction of Charge and Post-Survey Drilling Results, by Schumacher, Dietmar; #90135 (2011)
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2011
ABSTRACT: 3D Pore Pressure Prediction Model in Bentu Block-Central Sumatra Basin, by Behaki, Wawan A.; Sukapradja, Aldyth; Siregar, Ronald C.; Djaelani, Setiabudi; Sjafwan, Benny; #90155 (2012)
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2012
Abstract: Evaluation of Radial Basis Function Neural Networks in Reservoir Characterization of Caddo Member in Boonsville Field, Texas, by Tao Zhao and Kumar Ramachandran; #90176 (2013)
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2013
Abstract: The Marine Shale Gas-Rich Zones Geophysical Prediction and Evaluation Techniques in South China, by Yusheng Zhang, Gang Yu, Xing Liang, Xiaoping Wan, and Qihu Jin; #90180 (2013)
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2013
Play-based Pore Pressure Prediction: using the geoscience of overpressure to improve drilling safety and find new hydrocarbon discoveries
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N/A
Abstract: Pore Pressure Prediction From Seismic Velocities: A Novel Approach Based on Skempton and Biot Theories; #90310 (2017)
Bastien Dupuy, Mohamed A. Romdhane, Ane E. Lothe
Search and Discovery.com
...Abstract: Pore Pressure Prediction From Seismic Velocities: A Novel Approach Based on Skempton and Biot Theories; #90310 (2017) Bastien Dupuy...
2017
Abstract: Improving Resolution of a Fault Probability Map by a Deep Learning Generative Adversarial Network;
Fan Jiang, Phil Norlund
Search and Discovery.com
... over the past few years, saving substantial interpretation time for geoscientists. However, fault prediction results from deep learning...
Unknown
When Should We Use Seismic Inversion Results for Porosity Prediction? A Case Study from Dhulaima and Lekhwair-East Fields
Search and Discovery.com
N/A
A Comparative Analysis of Pre and Post Stack Lithology Prediction: Pre-Stack Wide Angle AVO Inversion and Post-Stack Sweetness Seismic Cube in Block 14, Offshore Angola, by Mark Smithard and Guy Delorme; #90037 (2005)
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2005
Siliciclastic Sequence Stratigraphy in Well Logs, Cores, and Outcrops: Concepts for High-Resolution Correlation of Time and Facies
J. C. Van Wagoner, R. M. Mitchum , K. M. Campion, V. D. Rahmanian
AAPG Special Volumes
... of feet, with several feet being most common. Few transgressive-lag deposits have been observed in cores or outcrops on marine-flooding surfaces...
1990
A CRITICAL COMPARISON OF NEURAL NETWORKS AND DISCRIMINANT ANALYSIS IN LITHOFACIES, POROSITY AND PERMEABILITY PREDICTIONS
P. M. Wong, F. X. Jian, and I. J. Taggart
Journal of Petroleum Geology
... requires the prediction of lithofacies followed by the assignment of petrophysical properties according to the specific lithofacies predicted. Common...
1995
Abstract: Prediction of Fractured Reservoir Properties and Performance in Folded Carbonates
J. M. Degraff, et al.
Houston Geological Society Bulletin
...Abstract: Prediction of Fractured Reservoir Properties and Performance in Folded Carbonates J. M. Degraff, et al. 1996 11 11 Fractured reservoirs...
1996