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The AAPG/Datapages Combined Publications Database
Showing 8,691 Results. Searched 201,044 documents.
Abstract: Cased Hole Solutions: Predicting Open Hole Logs Using Artifical Neural Networks, by J. F. Gegg; #90092 (2009)
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2009
ABSTRACT: Predicting Shale Gas Content and Productivity Based on Isotope Fractionation, by Tang, Yongchun; Xia, Xinyu; #90142 (2012)
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2012
Abstract: Predicting Seismically-Thin Sandstone Reservoirs by Integrating Tectno-Paleogeomorphology and Seismic Sedimentology: A Case Study, by Xu, Ligui; Zeng, Hongliu; Xiugang, Pu; Wang, Guizhong; Liu, Wanhui; #90163 (2013)
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2013
Abstract: Predicting Unconventional Well Performance: R-Squared, Uncertainty, and the Influence of Multiple Dimensions, by Scott Lapierre and Paul Duckworth; #90164 (2013)
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2013
Predicting Geometry and Stacking Pattern of Thinly Interbedded Depositional Systems
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Predicting Clearwater Formation Natural Fracture Intensity, Athabasca Oil Sands Area
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Predicting Reservoir Facies Distribution in the Subsurface: Hodgeman County, Kansas
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A Model for Predicting Organic Compounds Concentration Change in Water Associated with Horizontal Hydraulic Fracturing
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Predicting Clay Mineral Distribution in Sandstone Reservoirs Using an Analogue Holocene Estuarine Succession
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Linking Sequence Stratigraphy and Rock Mechanics for the Unconventional Permian Tight Oil Play in the Delaware Basin: A Hierarchical Tool for Predicting Fracture Barriers and Stimulation Zones
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ABSTRACT: Predicting Large-Scale Clastic Depositional Systems Using Global Ocean-Atmosphere, Tide and Wave Models: Modern and Maastrichtian Compared; #90061 (2006)
Paul J. Markwick, Roger Proctor, Paul J. Valdes, Judith Wolf, and John M. Jacques
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...ABSTRACT: Predicting Large-Scale Clastic Depositional Systems Using Global Ocean-Atmosphere, Tide and Wave Models: Modern and Maastrichtian Compared...
2006
Abstract: Basin-Scale Geomechanics of Poroelastoplasticity and its Influence on Predicting Stress-Strain Behaviors and Flow Dynamics, a Case Study from Anadarko Basin, Oklahoma; #90302 (2018)
Laainam Chaipornkaew, Noelle Schoellkopf, Allegra Hosford Scheirer, Tapan Makerji
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...Abstract: Basin-Scale Geomechanics of Poroelastoplasticity and its Influence on Predicting Stress-Strain Behaviors and Flow Dynamics, a Case Study...
2018
Abstract: Sequence Stratigraphic Characterization of the Permian in the Delaware Basin: An Improved Model for Predicting Facies Trends;
Tyson Perkes, Morgan Sullivan, Ryan Wilson, Elaine Campbell, Gregory Hurd
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...Abstract: Sequence Stratigraphic Characterization of the Permian in the Delaware Basin: An Improved Model for Predicting Facies Trends; Tyson Perkes...
Unknown
Abstract: Predicting the Distribution of Subsurface Sedimentary Facies Using Deep Convolutional Progressive Generative Adversarial Network (Progressive GAN);
Suihong Song, Tapan Mukerji, Jiagen Hou
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...Abstract: Predicting the Distribution of Subsurface Sedimentary Facies Using Deep Convolutional Progressive Generative Adversarial Network...
Unknown
Integrated Genetic Analysis of Sand Character for Predicting Reservoir Quality in the Deep Frontier, by William A. Heins and Suzanne Kairo; #90052 (2006)
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2006
Mechanics of the Advance of Buried Salt Sheets and Implications for Predicting Subsalt Pore Pressures, by Michael R. Hudec, Martin P. A. Jackson, and Daniel D. Schultz-Ela; #90052 (2006)
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2006
Predicting Log Properties from Seismic Data Using Abductive Networks
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N/A
Predicting Lacustrine Microbialite Distribution and Facies Associations: The Eocene Green River Formation Analogue, #10428 (2012)
Paul Buchheim, Stanley M. Awramik
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...Predicting Lacustrine Microbialite Distribution and Facies Associations: The Eocene Green River Formation Analogue, #10428 (2012) Paul Buchheim...
2012
Using 3D Seismic Technique in Predicting Bahariya Reservoir Facies of the Kenz Field in Khalda Concession
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N/A
Integrated Seismic (IS) for Shale Gas Exploration and Management
Shastri L. Nimmagadda, Paola Andrea Cardona Mora, Said Hanafy
Petroleum Exploration Society of Australia (PESA)
... hydrocarbon indicators with the responses of TOC and other shale mineralogy. AVO analysis for mineralogical characterizations within shale reservoirs...
2018
A New Physics-Based Modeling of Multiple Non-Planar Hydraulic Fractures Propagation
Jing Zhou, Hai Huang, Milind Deo
Unconventional Resources Technology Conference (URTEC)
... or tight oil, because of the relatively low permeability (at the order of nanodarcy), the hydrocarbon is very difficult or almost impossible to flow...
2015
Reliable EUR Prediction Using Geochemistry-Derived Drainage Profiles of 200+ Wells in the Anadarko Basin
Jana Bachleda, George Norton, Walter Kennedy, Tao Lv, Jiang Wu, Faye Liu
Unconventional Resources Technology Conference (URTEC)
... utilized for decades with the goal of drilling the best locations, predicting well performance, and improving field development strategies...
2022
Assessment of a Marcellus Shale Prospect Using Seismic, Microseismic, and Completions Data
Scott Singleton, Mark Suda
GCAGS Transactions
... and analyzing several variables for predicting the relationship between a dependent variable and one or more independent variables. The primary...
2012
The role of seismic attributes in understanding the hydraulically fracturable limits and reservoir performance in shale reservoirs: An example from the Eagle Ford Shale, south Texas
Robert Bodziak, Kit Clemons, Andy Stephens, and Robert Meek
AAPG Bulletin
...: 10.1130/0016-7606(1971)82[1441:DMFIED]2.0.CO;2. Enderlin, M., H. Alsleben, and J. A. Beyer, 2011, Predicting fracability in shale reservoirs (abs...
2014
Analyzing the impact of fracture complexity on well performance and wettability alteration in Eagle Ford shale
Jiawei Li, Wei Yu, Kan Wu
Unconventional Resources Technology Conference (URTEC)
...-fracture pattern is assumed due to the difficulty and uncertainty in predicting the fracture geometry. However, bi-wing-fracture pattern does not agree...
2018