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The AAPG/Datapages Combined Publications Database
Showing 8,497 Results. Searched 200,293 documents.
Automatic well-log baseline correction via deep learning for rapid screening of potential CO2 storage sites
Misael M. Morales, Carlos Torres-Verdín, Michael Pyrcz, Murray Christie, Vladimir Rabinovich
International Meeting for Applied Geoscience and Energy (IMAGE)
... baseline correction for SP logs and the prediction of sweet spots for CO2 storage along a well. We develop a deep learning-based method for automatic...
2024
Machine Learning for Estimating Rock Mechanical Properties beyond Traditional Considerations
Yiwen Gong, Mohamed Mehana, Ilham El-Monier, Feng Xu, Fengyang Xiong,
Unconventional Resources Technology Conference (URTEC)
... insights and develop novel data-driven models. Regression tools could be as simple as least-square error or more advanced like Artificial Neural Network...
2019
Abstract: GIS-based map modelling using the weights of evidence method applied to acid rock drainage prediction in the Meguma Supergroup, Nova Scotia
Don Fox
Atlantic Geology
...Abstract: GIS-based map modelling using the weights of evidence method applied to acid rock drainage prediction in the Meguma Supergroup, Nova Scotia...
2000
2000
Abstract: Comprehensive Petrophysical and Geochemical Integration Studies: Permian Basin, by Michael Holmes and Michael Dolan; #90205 (2014)
Search and Discovery.com
2014
Regional Crustal Structure and Heat-Flow Prediction of the Mediterranean Using Gravity Inversion
Search and Discovery.com
N/A
ABSTRACT: Palaeogeographic and Geological Constraints on Coupled Ocean-Atmosphere Palaeo-Earth Systems Modeling for Source Rock Prediction in Frontier Basins; #90061 (2006)
Jim Harris, Rob Crossley, Frank Richards, Nick Stronach, Tim Hudson, Dan Burggraf, John Suter, Brad Huizinga, Samir Ghazi, Paul Markwick, Paul Valdes, and Roger Proctor
Search and Discovery.com
...ABSTRACT: Palaeogeographic and Geological Constraints on Coupled Ocean-Atmosphere Palaeo-Earth Systems Modeling for Source Rock Prediction...
2006
Reservoir Quality Assessment: Petrography as a Tool for Deciphering Kinetically-dominated Systems and the Need For Petrographic Education, by Kitty L. Milliken; #90053 (2006)
Search and Discovery.com
2006
Carbonate Lithofacies Prediction Using Neural Network and Geostatistical 3-D Modeling of Oolite Shoals, St. Louis Limestone, Southwest Kansas, by Lianshuang Qi, Timothy R. Carr, and Robert H. Goldstein; #90052 (2006)
Search and Discovery.com
2006
Sequence Stratigraphy of the Asmari Formation in the Zagros Basin (SW Iran), Implication for Reservoir Porosity Prediction
Search and Discovery.com
N/A
Abstract: Digitizing Rocks? Standardizing the Geological Description Process Using Workstations, by M. R. Saunders, J. A. Shields, and M. R. Taylor; #90990 (1993).
Search and Discovery.com
1993
New Technology to Acquire, Process, and Interpret Transient EM Data; #41579 (2015)
Anton Ziolkowski, Richard Carson, David Wright
Search and Discovery.com
...) error criterion in filter design and prediction: Journal of Mathematics and Physics, v. 25, p. 261-278. Wright, D., A. Ziolkowski, and B. Hobbs, 2002...
2015
Modeling of an Unconventional Gas Accumulation Taking into Account Spatial Correlation, Greater Natural Buttes, Utah; #40655 (2010)
Ricardo A. Olea; Troy A. Cook; and James L. Coleman, Jr.;
Search and Discovery.com
... by the existing wells allowed preparation of a stochastic prediction of undiscovered resources, which range between 2.6 and 3.4 TSCF with a mean of 2.9 TSCF...
2010
Abstract: Sequence Stratigraphy 25 Years Down the Road: Technology Dependencies, Current Practices and Evolving Methods for Prediction of Petroleum Systems, by Ole J. Martinsen; #90101 (2010)
Search and Discovery.com
2010
Fractured Reservoir Characterization: Integrating Production and Seismic Data to Optimize Well Placement in Bluebell Field, Uinta Basin, NE Utah
Steven L. Adams, James Schuelke, Dennis Shannon, John Kucewicz, Christopher Latkiewicz
Unconventional Resources Technology Conference (URTEC)
..., the correlation was only 43 percent, with a probability error range of approximately one million barrels of fluid, resulting in an unacceptable prediction map...
2014
An Integrated Approach Towards Digital Outcrop Method In Natural Fracture Characterization: An Example From The Pre-Tertiary Alas Formation of North Sumatra Basin
Ilyas Anindita, Leon Taufani, Muhammad Gazali Rachman, Purnama Suandhi, Erlangga Septama
Indonesian Petroleum Association
...An Integrated Approach Towards Digital Outcrop Method In Natural Fracture Characterization: An Example From The Pre-Tertiary Alas Formation of North...
2022
Geological Facies Prediction Using Computed Tomography in a Machine Learning and Deep Learning Environment
Uchenna Odi, Thomas Nguyen
Unconventional Resources Technology Conference (URTEC)
...Geological Facies Prediction Using Computed Tomography in a Machine Learning and Deep Learning Environment Uchenna Odi, Thomas Nguyen URTeC: 2901881...
2018
Digital Seismograms: ABSTRACT
Carl H. Savit
AAPG Bulletin
...Digital Seismograms: ABSTRACT Carl H. Savit 1965 1766 1766 49 10. (October) To use digital seismograms economically and effectively, it is essential...
1965
A hybrid machine learning model for improving regression of mineral composition estimation using well logging data
Xiaojun Liu, Kezhen Hu, Stephen E. Grasby, Benjamin Lee
International Meeting for Applied Geoscience and Energy (IMAGE)
...) is added to model training to decrease the sensitivity and increase repeatability of model prediction. The comparison of metrics and correlation...
2024
Appendix D
Wayne K. Camp, Elizabeth Diaz, Barry Wawak
AAPG Special Volumes
... geometries: The Leading Edge, v. 20, p. 180–183. Keehm, Y., T. Mukerji, and A. Nur, 2004, Permeability prediction from thin sections: 3D...
2013
Hyperspectral imaging for the determination of bitumen content in Athabasca oil sands core samples
Michelle Speta, Benoit Rivard, Jilu Feng, Michael Lipsett, and Murray Gingras
AAPG Bulletin
... imaging is a remote sensing technique that can be defined as reflectance spectroscopy with a spatial context, where high-resolution digital imagery (∼1...
2015
Integrated Reservoir Characterization of Mississippian-Age Mid-Continent Carbonates, #30297 (2013)
Michael Grammer, Darwin Boardman, James Puckette, Jay Gregg, Priyank Jaiswal, Miranda Childress, Buddy Price, Beth Vanden Berg, Stephanie LeBlanc
Search and Discovery.com
... and tens of meter scale will aid the producer in identifying key producing intervals and also enhance the prediction of internal flow units and seals...
2013
Machine Learning Regressors and their Metrics to predict Synthetic Sonic and Brittle Zones
Ishank Gupta, Deepak Devegowda, Vikram Jayaram, Chandra Rai, Carl Sondergeld
Unconventional Resources Technology Conference (URTEC)
...nt uncertainty in prediction (± 2*mean square error). It is evident that random forest and extreme gradient boosting techniques also give among the lowest uncert...
2019
Abstract: Computer Plotting of Land Leases on Digitized Base Map, by P. J. Lee, T. L. O. Larson; #90968 (1977).
Search and Discovery.com
1977
ABSTRACT: Water Depth, Seagrass, Algae, and Bottom Type Mapped with Airborne Multi-spectral Imagery in Tampa Bay
Raabe, E.A., Kovach, C.W.
GCAGS Transactions
... the physical outlining of features, dependent on the presence of visual clues and subject to operator expertise. The digital multi-spectral data offers...
2002