Welcome to the new Datapages Archives
Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.
AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.
Welcome to the new Datapages Archives
Search Results > New Search > Revise Search
The AAPG/Datapages Combined Publications Database
Showing 57,483 Results. Searched 200,357 documents.
Abstract: Integrated Sedimentological, Stratigraphic, and Ai-based Characterisation of the Lower Cretaceous Zubair Formation: Deciphering Geological Complexities in Middle East Deltaic Systems; #91211 (2025)
Dimitrios Charlaftis, Boris Kostic, Anis Seksaf, Rebecca Smith, Abd El-Aziz Sabry, Raja Ramalingam, Chen Chao
Search and Discovery.com
.... Keywords: Zubair Formation, Deltaic Systems, Reservoir Characterisation, Core-calibrated Supervised Machine Learning, Probabilistic Facies Prediction...
2025
Lithostratigraphic Interpretation of Seismic Data for Reservoir Characterization; #90017 (2003)
Mahesh Chandra, A. K. Srivastava, V. Singh, D. N. Tiwari, P. K. Painuly
Search and Discovery.com
... of hydrocarbons. For better reservoir characterization, lithofacies classification and effective porosity distribution were carried out using Kohonen self...
2003
Data Mining Methodologies to Reduce the Uncertainty of Reservoir Selection, #41875 (2016).
Jin Fei, Jeffrey Yarus, Richard Chambers
Search and Discovery.com
... simulations. Classification and Regression Trees (CART) CART is an important machine learning technique in the oil and gas industry. It is intuitive...
2016
Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling
Wen Pan, Honggeun Jo, Javier E. Santos, Carlos Torres-Verdín, and Michael J. Pyrcz
AAPG Bulletin
...Hierarchical machine learning workflow for conditional and multiscale deep-water reservoir modeling Wen Pan, Honggeun Jo, Javier E. Santos, Carlos...
2022
Prolog
John H. Doveton
AAPG Special Volumes
..., geologists typically work with computers in an interactive style, using either a microcomputer, workstation, or terminal served by a larger machine. So...
1994
Cluster Assisted 3D Unsupervised Seismic Facies Analysis - An Example from Osage County, Oklahoma; #40832 (2011)
Atish Roy and Kurt J. Marfurt
Search and Discovery.com
... that can generate 3D seismic facies volumes using multiple attributes as input. To avoid guessing at the number of clusters necessary to represent...
2011
Integration of Geophysical, Geological, and Engineering Data to Continuously Adapt and Evolve Models for Optimization and Risk Analysis of an Ongoing Carbon Storage/eor Project at Farnsworth Texas, U.S.A.
Search and Discovery.com
N/A
Artificial Neural Network (ANN) Prediction of Porosity and Water Saturation of Shaly Sandstone Reservoirs; #51559 (2019)
Chaw Yin Nyein, Ghareb Mostafa Mostafa Ali Hamada
Search and Discovery.com
..., ISBN: 978-1-55563-056-0, 384 p. Bhatt, A., and H.B. Helle, 2002, Determination of Facies from Well Logs Using Modular Neural Networks: Petroleum...
2019
Unsupervised compensation of spiral-shaped drone magnetic survey using a recurrent convolutional autoencoder
Brett Bernstein, Yaoguo Li, Richard Hammack, Colton Kohnke
International Meeting for Applied Geoscience and Energy (IMAGE)
.../10.48550/arXiv.1802.06955. Bhowick, D., D. K. Gupta, S. Maiti, and U. Shankar, 2019, Stacked autoencoders based machine learning for noise reduction and signal...
2024
Abstract: Application of Data Analytics and Geostatistics for Integrated Shale Facies Modeling; #90302 (2018)
Shuvajit Bhattacharya, Timothy R. Carr
Search and Discovery.com
...Abstract: Application of Data Analytics and Geostatistics for Integrated Shale Facies Modeling; #90302 (2018) Shuvajit Bhattacharya, Timothy R. Carr...
2018
Seismic to Simulation: Woodford Shale Case Study in Oklahoma, USA
Emilio J. Torres-Parada, Saurabh Sinha, Lennon E. Infante-Paez, Roger M. Slatt, Kurt Marfurt
Unconventional Resources Technology Conference (URTEC)
... stratigraphic control on these properties. To obtain the type curves (TC’s), we have used unsupervised machine learning methodologies such as Self...
2018
Distance Metric Based Multi-Attribute Seismic Facies Classification to Identify Sweet Spots within the Barnett shale: A Case Study from the Fort Worth Basin, TX
Atish Roy, Vikram Jayaram, Kurt Marfurt
Unconventional Resources Technology Conference (URTEC)
..., the University of Oklahoma. Roy, A., Jayaram, V., Marfurt, K.J., 2013, Active learning algorithms for 3D seismic facies classification, extended abstract SEG...
2013
Geologically constrained electrofacies classification of fluvial deposits: An example from the Cretaceous Mesaverde Group, Uinta and Piceance Basins
Daniel B. Allen, and Matthew J. Pranter
AAPG Bulletin
... to a rock facies classification problem: Computers & Geosciences, v. 33, p. 599–617, doi:10.1016/j.cageo.2006.08.011. Ellison, A. I., 2004, Numerical...
2016
Complex structure pattern and its control on reservoir distribution in the Apsheron ridge of South Caspian Basin, insights from integrated study of OBN seismic
Xiao Dengyi, Li Jianlin, Song Jiawen, Zhao Min, Li Xiaoliang, Chen Xin, Qi Qunli, Chen Shuangting, Li Qiang, Wang Bo, An Fuli, Wang Li, Liu Qiang, Cui Jinglin
International Meeting for Applied Geoscience and Energy (IMAGE)
...: Deep learning using in fault identification Fourth International Meeting for Applied Geoscience & Energy 10.1190/image2024-4099839.1 Page 1183 © 2024...
2024
Abstract: A Comprehensive Facies Prediction Workflow for a Heterogeneous Carbonate Reservoir, Saudi Arabia; #90319 (2018)
Cengiz T. Vur, Waseem A. Bogary, Fahad T. Wahbo, Raed K. Dukhayyil
Search and Discovery.com
... for non-cored wells using a neural network system. These facies predictions, along with the core data, are the main input for a 3D geological...
2018
2022 The Mediterranean and North African Conference and Exhibition; - Abstracts, #91202 (2022).
Search and Discovery.com
2022
Improving pre-stack inter-trace variation extraction with a self-supervised learning approach
Yifeng Fei, Xin He, Bangli Zou, Jiandong Liang, Dajun Li
International Meeting for Applied Geoscience and Energy (IMAGE)
... Seismic facies classification plays a crucial role in geophysical interpretation, enabling the identification of distinct geological features...
2024
Abstract: Facies Classification in Basaltic Volcanic Rocks Using Artificial Neural Networks, by Indrajit Bandyopadhyay, Sangeeta Singhal Bandyopadhyay, and Dedi Juandi; #90081 (2008)
Search and Discovery.com
2008
Multiscale characterization of unconventional Mississippian reservoirs using a Bayesian approach for seismic-based reservoir models
J. Javier Tellez, Hope Williams, Matthew J. Pranter
International Meeting for Applied Geoscience and Energy (IMAGE)
..., Stratigraphic variability of Mississippian Meramec chemofacies and petrophysical properties using machine learning and geostatistical modeling...
2022
Fracture and matrix characterization using wide-azimuth and multi-component seismic data: A case study from offshore Mexico
Romain Baillet, Nawal de Freslon, Vincent Thomas, Reynaldo Castellanos, Erick Denogean
International Meeting for Applied Geoscience and Energy (IMAGE)
..., and density (AVO), or anisotropy (AVAZ) and propagated using machine learning techniques, to populate a geomodel and guide the future well locations...
2024
Abstract: Facies Classification and Prediction in the Upper Jurassic Carbonate Formation Using Heterogeneous Rock Analysis Technique: As Sayd and Rimthan fields in Saudi Arabia; #90254 (2016)
Harianto Soepriatna, Stanley Wharton, Yajun Zhang, Abdullah Alzahrani
Search and Discovery.com
...Abstract: Facies Classification and Prediction in the Upper Jurassic Carbonate Formation Using Heterogeneous Rock Analysis Technique: As Sayd...
2016
Abstract: Amazon deep-sea fan facies classification scheme
M. D. Deptuck
Atlantic Geology
...Abstract: Amazon deep-sea fan facies classification scheme M. D. Deptuck 210 AUGC ABSTRACTS Amazon deep-sea fan facies classification scheme M.D....
1995
Undoing the paradigm of lithofacies control on carbonate reservoir properties through advanced rock typing
Ousmane Mangane, Jeroen Kenter, Tarek Mecheri, Jean Borgomano, and Christophe Nussbaumer
AAPG Bulletin
...: Depositional Influence and RT The step 1 test, guided by supervised learning (i.e., category of machine learning to handle large volumes of data...
2025
Adaptive UMAP based multiple-frequency attribute blending and its application on hydrocarbon reservoir characterization
Zezhou Zhang, Naihao Liu, Yang Yang, Zhiguo Wang, Rongchang Liu, Jinghuai Gao
International Meeting for Applied Geoscience and Energy (IMAGE)
... with machine learning for thickness prediction and sedimentary facies interpretation in fluvial reservoirs: Journal of Petroleum Science and Engineering...
2023
Frontmatter: GeoGulf Transactions: Gulf Coast Association of Geological Societies
James J. Willis and Norman C. Rosen
GCAGS Transactions
... of Economic Geology) East Texas Seismically Defined Paleozoic Strawn Reefs 17 James Bedford (Independent) Machine-Learning Approach...
2025