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The AAPG/Datapages Combined Publications Database
Showing 15,634 Results. Searched 200,673 documents.
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
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...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
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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
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
Abstract: Identification Of Bypassed Pay Through Log/Core Integration
David K. Davies, Charles C. Segrest
West Texas Geological Society
... (rock type), integration of the “rock type” model with relative permeability and capillary pressure characteristics, and prediction of water cut...
1997
Memoir 70, Chapter 6: Abnormally High Formation Pressures: Origin, Prediction, Hydrocarbon Field Development, and Ecological Problems
V.I. Slavin
AAPG Special Volumes
...Memoir 70, Chapter 6: Abnormally High Formation Pressures: Origin, Prediction, Hydrocarbon Field Development, and Ecological Problems V.I. Slavin...
1998
AAPG Memoir 76, Chapter 10: Geological Controls and Variability in Pore Pressure in the Deep-Water Gulf of Mexico
Michael A. Smith
AAPG Special Volumes
... Memoir 76: Pressure Regimes in Sedimentary Basins and Their Prediction In most areas of the world, pressure-related drilling problems are the leading...
2001
Abstract: Pressure Modelling: Where it all goes wrong, by Gareth S. Yardley and Brent Couzens; #90066 (2007)
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2007
Carbonate Reservoir Characterization Using Sequential Hybrid Seismic Rock Physics and Artificial Neural-Network: A Case Study of Tiaka Field
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N/A
Integrated Multidisciplinary Approach to Real Time Pore Pressure Prediction: 3-D Earth Model in the Gulf of Mexico
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N/A
Pitfalls of Fluid Property Prediction in a Deep Offshore Prolific Basin, #90110 (2010)
Francois Gelin, Denis Levache, Marcel Royer
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...Pitfalls of Fluid Property Prediction in a Deep Offshore Prolific Basin, #90110 (2010) Francois Gelin, Denis Levache, Marcel Royer AAPG HEDBERG...
2010
Oil Saturation Log Prediction Using Neural Network in New Steamflood Area
Ahmad Syahputra
Indonesian Petroleum Association
...Oil Saturation Log Prediction Using Neural Network in New Steamflood Area Ahmad Syahputra IPA20-G-307 PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION...
2020
Evaluation of Hybrid Prediction Models for Accurate Rate of Penetration (ROP) Prediction in Drilling Operations; #42586 (2023)
Abdelhakim Khouissat, Dr. Mohamed Riad Youcefi, Ghoulem Ifrene, Doina Irofti
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...Evaluation of Hybrid Prediction Models for Accurate Rate of Penetration (ROP) Prediction in Drilling Operations; #42586 (2023) Abdelhakim Khouissat...
2023
Application of interactive convolutional neural network micro-fracture prediction technology based on prestack depth migration data in deep shale gas reservoirs
Xiaolan Wang, Furong Wu, Junfeng Liu, Dianguang Zang, Xiao Yang, Yangjing Li, Xiaoyan Cheng
International Meeting for Applied Geoscience and Energy (IMAGE)
... distribution (Figure 8), confirming the effectiveness of the method. For fractures with a distance greater than 10m, the prediction reaches 100%, while...
2024
Attenuation of Marine Coherent Noise – A Processing Case History in the East China Sea
Huaien Wang, Liu Guangxin, Curtis E. Hinz, Fred F. C. Snyder
Southeast Asia Petroleum Exploration Society (SEAPEX)
... into offset or receiver organized records followed by the application of an F-K prediction filter technique. This technique discriminates against random...
1990
Prediction and Analysis of Geomechanical Properties using Deep Learning: A Permian Basin Case Study
Fatick Nath, Karina Murillo, Sarker Monojit Asish, Deepak Ganta, Valeria Limon, Edgardo Aguirre, Gabriel Aguirre, Happy R. Debi, Jose L. Perez, Cesar Netro, Flavio Borjas
Unconventional Resources Technology Conference (URTEC)
...Prediction and Analysis of Geomechanical Properties using Deep Learning: A Permian Basin Case Study Fatick Nath, Karina Murillo, Sarker Monojit Asish...
2022
Multi-Step Auto-Regressive Reconstruction of Nonuniformly Sampled, Aliased Seismic Records; #41563 (2015)
M. Naghizadeh, M. D. Sacchi
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... is reconstructed. Using data inside the reconstructed band, a Multi-Step Auto-Regressive (MSAR) operator extracts the ensemble of prediction filters that are used...
2015