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The AAPG/Datapages Combined Publications Database
Showing 8,545 Results. Searched 200,636 documents.
The Pematang Group Sand Analysis Using Growing Neural Network Machine Learning
Rizky Hidayat, Duddy Lastawan, Fadhli Ruzi, Roby Oksuanandi, L.T.Hardanto
Indonesian Petroleum Association
... prediction to image or model seismic facies as facies volumes. This facies model allows for classifying and identifying the Pematang sand distribution...
2022
Frontmatter: Petroleum Systems of the Tethyan Region
Lisa Marlow, Christopher C. G. Kendall, Lyndon A. Yose
AAPG Special Volumes
... and results: USGS Digital Data Series DDS-60, 323 p. Al-Husseini, M. I., 1997, Jurassic sequence stratigraphy, of the Western and Southern Arabian Gulf...
2014
Physics-Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability
Kainan Wang, Lichi Deng, Yuzhe Cai, Guido Di Federico, Keith Ramsaran, Mun-Hong Hui, Hussein Alboudwarej, Christian Hager, Yuguang Chen, Xian-Huan Wen
Unconventional Resources Technology Conference (URTEC)
... curves that serve as digital analogs and augment field data. We then develop deep learning models to make probabilistic forecasting for new wells...
2024
Investigating Distributed Acoustic Sensing Performance for Hydraulic Fracturing Monitoring Under Controlled Conditions
Dmitry Kuznetsov, Roman Korkin, Maxim Chertov, Joel Le Calvez
Unconventional Resources Technology Conference (URTEC)
... treatment optimization by replacing conventional rate-splitting techniques with fiber-optic and digital modeling approaches. The method supports both...
2025
1995 Pacific Section Meeting, May 3-5, 1995, San Francisco, California, - Abstracts, #90958 (1995).
Search and Discovery.com
1995
Redefining the STACK Play from Subsurface to Commercialization: Identifying Stacked Pay Sweet Spots in the Northern Anadarko Basin; #11104 (2018)
Lauren Droege, Harvey Vick
Search and Discovery.com
... and inhibitors, which enable more accurate prediction of total STACK resource and future production growth potential of the STACK play and surrounding areas...
2018
A revised assessment of the CO2 storage capacity and enhanced oil recovery potential in the major oil fields of Ohio
Jared Hawkins, Srikanta Mishra, Ryan Stowe, Kishan Makwana, and Joel Main
Environmental Geosciences (DEG)
... of Ohio’s largest power plants for a period of 36 yr. Barclay, T., and S. Mishra, 2014, Development of a reservoir fluid property prediction toolbox...
2017
Interpretation of deep neural networks for carbonate thin section classification
Lukas Mosser, George Ghon, Gregor Baechle
International Meeting for Applied Geoscience and Energy (IMAGE)
... and training scores of the 12 CNN models to predict Lucia, Dunham, and pore type classification. served a better prediction of the training pore type...
2022
Physical Properties of Carbonate Reservoirs in South Sumatra
B. Sudewo, A. R. Suhendan, S. Chacko
Indonesian Petroleum Association
... facies and highly porous reefal facies, predrill prediction of porosity is an important exploration objective. It is well known that porosity...
1987
Modeling Unconventional Reservoirs Using a Graph Network Model
Zhenyu Guo, Sathish Sankaran
Unconventional Resources Technology Conference (URTEC)
... a Graph Network Model Zhenyu Guo*, Sathish Sankaran, Xecta Digital Labs. Copyright 2022, Unconventional Resources Technology Conference (URTeC) DOI...
2022
Fracture Characterization Based on Microfracture Surrogates, Pottsville Sandstone, Black Warrior Basin, Alabama
Laubach, Stephen E., Reed, Robert M., Gale, Julia F.W., Ortega, Orlando J., Doherty, Eloise H.
GCAGS Transactions
.... 475-485. Ortega, O.J., 1997, Prediction of macrofracture properties using microfracture information, Mesaverde Group sandstones, San Juan Basin, New Mexico...
2002
Production Optimization Using Machine Learning in Bakken Shale
Guofan Luo, Yao Tian, Mariia Bychina, Christine Ehlig-Economides
Unconventional Resources Technology Conference (URTEC)
... is covariance, σ is the standard deviation. Feature Selection Feature selection can facilitate data visualization/understanding and improve prediction...
2018
Transactions: Gulf Coast Association of Geological Societies; 2016 Front Matter
Jennifer M. Smith-Engle, James J. Willis, Jill C. Willis, Norman C. Rosen, Dorene B. West
GCAGS Transactions
... not submitted later as an Extended Abstract or Technical Paper. Credits Transactions layout and digital production by: Delta Azimuth, Inc. / Odyssey...
2016
Deep Structure: Strength Through Integration in the Deepwater Gulf of Mexico
GeoExPro Staff
GEO ExPro Magazine
... integration in the deepwater Gulf of Mexico Connecting the Geologist to the Digital Oilfield Exploration interest in the deepwater US Gulf of Mexico...
2007
Digital cuttings data: A new tool in the evaluation of subsurface CO2 storage potential
Jack Cawthorne
International Meeting for Applied Geoscience and Energy (IMAGE)
...Digital cuttings data: A new tool in the evaluation of subsurface CO2 storage potential Jack Cawthorne Digital cuttings data: A new tool...
2022
ABSTRACT: Results of Digital Image Analysis and their Applicability for Fluorescence Studies of Coal Seam
Alejandro Restrepo, Astrid Blandón, Fredy Arango
The Society for Organic Petrology (TSOP)
...ABSTRACT: Results of Digital Image Analysis and their Applicability for Fluorescence Studies of Coal Seam Alejandro Restrepo, Astrid Blandón, Fredy...
2005
Landsat 5 Thematic Mapper Image of the Marathon Mountains
R. L. Borger
West Texas Geological Society
... as Red, Green and Blue In the digital form, Satellite image data can be manipulated and displayed using computers and workstations. To briefly state some...
1990
Abstract: Understanding Relationships Between NMR and Pore Size Distributions in Porous Media; #90187 (2014)
S. Ghomeshi, S. Kryuchkov, J. Bryan, and A. Kantzas
Search and Discovery.com
... to errors in characterization of a given porous medium. This work investigates this potential problem by constructing a digital rock model and performing...
2014
Interpretation, Visualization and Presentation of Digital Well-Log Data in 3D Virtual Reality Space, #40617 (2010)
Gary L. Kinsland, Christoph Borst, Nathan Bryant,
Search and Discovery.com
...Interpretation, Visualization and Presentation of Digital Well-Log Data in 3D Virtual Reality Space, #40617 (2010) Gary L. Kinsland, Christoph Borst...
2010
High-Resolution 3D Stratigraphic Modeling: From Digital Outcrop Modeling to Carbonate Sedimentary System Characterization - Example of the Gresse-En-Vercors Lower Cretaceous Carbonate Platform (South-East France), #120040 (2013)
R. Richet, J.B. Borgomano, J-P. Masse, E.W. Adams, S. Viseur
Search and Discovery.com
...High-Resolution 3D Stratigraphic Modeling: From Digital Outcrop Modeling to Carbonate Sedimentary System Characterization - Example of the Gresse-En...
2013
Quantifying the Impacts of CO2 Adsorption on the Elasticity of Organic-Rich Mudrocks
Jamil El Masry, Ibrahim Gomaa, Elsa Maalouf, Zoya Heidari
Unconventional Resources Technology Conference (URTEC)
...), e2024JH000483, https://doi.org/10.1029/2024JH000483 Madonna, C., Almqvist, B. S. G., and Saenger, E. H. 2012. Digital rock physics: Numerical prediction...
2025
Onshore Australia — Prospects, Economics and Finance
V. G. Swindon
Southeast Asia Petroleum Exploration Society (SEAPEX)
... expensive. During the 70’s the problem of deep data has been solved to a large degree by the use of high resolution digital Vibroseis using 1200...
1978
A Comparison of Air Photograph and Computer Simulated Wave Refraction Patterns in the Nearshore Area, Richibucto, Canada and Jervis Bay, Australia
Edward A. Bryant
Atlantic Geology
... played an increasingly important role in the description of coastal processes and the prediction of coastal change. They have been qualitatively related...
1974
Quantification of Fracture-Matrix Fluid Transport in Unconventional Rocks Using Two-scale Microfluidic Chips
Ayaz Mehmani, Shaina Kelly, Carlos Torres-Verdin, Matthew Balhoff
Unconventional Resources Technology Conference (URTEC)
...). An a priori prediction of the aforementioned macroscopic phenomena can therefore add reliability to the cost benefit analysis of a fracturing operation...
2017
The Importance of Understanding Basement and Structural Inheritance: Insights on Basin Evolution in the Greater McArthur and South Nicholson Region
Karen Connors, Jane Blevin, Lynn Pryer
Petroleum Exploration Society of Australia (PESA)
... to understanding the basin evolution and prediction of the thickness and distribution of units at depth and undercover. Despite the limited outcrop...
2022