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 2,441 Results. Searched 200,630 documents.
Automated interpretation and quality control of logging-while-drilling quadrupole sonic dispersion in anisotropic formations
Lin Liang, Ting Lei, Matthew Blyth, Michiko Hamada
International Meeting for Applied Geoscience and Energy (IMAGE)
... and reliability of the resultant interpretation. The model-based inversion is facilitated by a neural network model, off-line trained, as an efficient...
2022
Looking for a simplified and generalized training set in ML applications for gravity modelling
Luigi Bianco, Ciro Messina, Maurizio Fedi
International Meeting for Applied Geoscience and Energy (IMAGE)
... be seen as the building blocks of each gravimetric anomaly. Here, we discuss preliminary results obtained with a Convolutional Neural Network (CNN...
2023
Hierarchical 3D Facies Model Capturing Conceptual Geology of Fluvial-Deltaic Environment in Zawtika Gas Field, Offshore Myanmar; #20350 (2016)
Peerapong Ekkawong, Sureena Matha, Rangsan Bhengbhun, Ellya Saudale
Search and Discovery.com
... Neural Network (ANN) = Static Model Static Model Geological Knowledge + • Conceptual Regional Geology Overall Workflow From Seismic to Simulation...
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
... al., 2014). In a GAN, two neural networks, the generator and the discriminator, compete to stochastically calculate reservoir model realization...
2022
Aplikasi GIS dalam penaksiran risiko gelinciran tanah (LRA): Kajian kes bagi kawasan sekitar Bandaraya Kota Kinabalu, Sabah, Malaysia (IN MALAY), Application of GIS in landslide risk assessment (LRA): A case study of the Kota Kinabalu area, Sabah, Malaysia
Rodeano Roslee, Tajul Anuar Jamaluddin, Mustapa Abd. Talip
Geological Society of Malaysia (GSM)
.... kebarangkalian bayesian/logik fuzzy/rangkaian neural artifisial (artificial neural network, ANN)) juga boleh jadi digunakan bagi menghasilkan peta-peta GIS...
2011
Depositional environments and sequence stratigraphy of carbonate mudrocks using conventional geologic observations, multiscale electrofacies visualization, and geochemical analysis: The case of the Tuwaiq Mountain and Hanifa Formations in a basinal setting, Saudi Arabia
Mustafa A. Al Ibrahim, J. Frederick Sarg, Neil Hurley, Dave L. Cantrell, and John D. Humphrey
AAPG Bulletin
.... 722–733. Fausett, L. V., 1994, Fundamentals of neural networks: Architectures, algorithms, and applications: Englewood Cliffs, New Jersey...
2017
Application of Wide-Azimuth 3-D Seismic Attributes to Predict the Microfractures in Block MA Area for Shale Gas Exploration in South China
Yusheng Zhang, Gang Yu, Xing Liang, Li Jiang
Unconventional Resources Technology Conference (URTEC)
... MA shale gas exploration area. We focus especially on using neural network techniques to analyze the 3D seismic attribute data for fracture prediction...
2015
Integrated 3Dimensional Static Reservoir Modeling, Upper Zelda Sandstone in Sundari Field, Sunda Basin
Asep Ginanjar, Hairunnisa, Leonardus Gilang Ginting
Indonesian Petroleum Association
... colored, fine to coarse grained, poorly sorted. Hydraulic Units Neural net To expand the reservoir properties from core scale to field scale, we needed...
2014
Enhancing Seismic Data Resolution with Multi-Attribute Analysis Using Both Well Log Data and Seismic Data A Case Study, #70281 (2017).
K. John R. Fernando
Search and Discovery.com
... to improve the seismic resolution through multi-attribute analysis followed by neural network-type processes and thereby improve the details...
2017
ABSTRACT: NEURAL NETWORK-BASED COAL ACTIVITY SAFETY STANDARDIZATION ANALYSIS
Fei WU
The Society for Organic Petrology (TSOP)
...ABSTRACT: NEURAL NETWORK-BASED COAL ACTIVITY SAFETY STANDARDIZATION ANALYSIS Fei WU Copyright © 2006 The Society for Organic Petrology (TSOP...
2006
Abstract: Deep Panuke: The Integration of Geology, Geophysics and Reservoir Engineering for Field Appraisal; #90213 (2015)
Rick Wierzbicki, Rainer Tonn, Robert Riddy, and Steven Brown
Search and Discovery.com
... reef was analyzed with a supervised neural network approach. Training and validation samples were collected from each area and fed into a neural...
2015
Estimation of TOC and Brittleness Volumes and Correlation with Reservoir Production
Sumit Verma, Tao Zhao, Kurt J. Marfurt, Deepak Devegowda, Dario Grana
Unconventional Resources Technology Conference (URTEC)
... neural network for TOC estimation. We therefore use well A to train the neural network and obtain a training correlation of 80% and the blind well...
2016
Machine Learning Approach to Improve Calculated Bottom-hole Pressure
Esmail Eltahan, Reza Ganjdanesh, Wei Yu, Kamy Sepehrnoori, Ryan Williams, Jack Nohavitsa
Unconventional Resources Technology Conference (URTEC)
... Using Artificial Neural Networks. Arab J Geosci 14: 795. https://doi.org/10.1007/s12517-021-07099-y. Hagedorn, A. R., and Brown, K. E. 1965...
2021
A method to predict the resistivity index for tight sandstone reservoirs from nuclear magnetic resonance data
Liang Xiao, Yujiang Shi, Gaoren Li, Haopeng Guo, Junran Li
AAPG Bulletin
... neural networks and an investigation on cementation factors and saturation exponent variations in an Iranian oil well: Petroleum Science and Technology, v...
2021
AAPG Middle East Meetings
Search and Discovery.com
N/A
Summary of the AAPGSPESEG Hedberg Research Conference on Fundamental Controls on Flow in Carbonates
Susan Agar, Sebastian Geiger, Philippe Leonide, Juliette Lamarche, Giovanni Bertotti, Olivier Gosselin, Gary Hampson, Matt Jackson, Gareth Jones, Jeroen Kenter, Stephan Matthai, Joyce Neilson, Laura Pyrak-Nolte, Fiona Whitaker
AAPG Bulletin
... collaboration on a common theme. A simple numbering system enabled the rapid acquisition of data and mapping of networks (Figure 1). Delegates agreed...
2013
Transactions: Gulf Coast Association of Geological Societies; 2017 Front Matter
James J. Willis, Norman C. Rosen, Jill C. Willis, Dorene B. West
GCAGS Transactions
... Neural Network Facies Classification Schemes 283 Ross, Christopher P., and David M. Cole Transregional Sequence-Stratigraphic Correlation...
2017
PTTC Network News - Vol. 7, No.4 - 2001
Karl Lang
PTTC
..., and a sidebar on neural networks and fuzzy logic techniques, visit www.pttc.org/.u Author: Karl Lang is Director of Custom Publishing at Hart/IRI...
2001
Skeletal trauma with implications for intratail mobility in Edmontosaurus annectens from a monodominant bonebed, Lance Formation (Maastrichtian), Wyoming USA
Bethania C.T. Siviero, Elizabeth Rega, William K. Hayes, Allen M. Cooper, Leonard R. Brand, Art V. Chadwick
PALAIOS
... disproportionately in the caudal vertebrae. Pre-mortem fractures with subsequent bone remodeling and hypertrophic ossification of caudal neural spines are present...
2020
Improved Nanoscale Image-based Reservoir Characterization using Supervised Machine Learning
Shannon L. Eichmann, Poorna Srinivasan, Kevin Kenga, Mohammed Khan, Fabian Duque, Felix Oyarzabal, James Howard, Shawn Zhang
Unconventional Resources Technology Conference (URTEC)
.... Varfolomeev, I., I. Yakimchuk and I. Safonov (2019). "An application of deep neural networks for segmentation of microtomographic images of rock...
2021
Precursory Detection of Casing Deformation and Induced Seismicity in Unconventional Reservoirs, via Real-Time Surface Pressure Data Analytics
Thomas de Boer, Matthew Adams, Andrew McMurray, Giovanni Grasselli
Unconventional Resources Technology Conference (URTEC)
... for geomechanical event classification and temporal pattern recognition. This architecture is composed of: • Convolutional Neural Networks (CNNs): for spatial...
2025
Discrete Fracture Network Simulation: Application of Tectonic Simulation and Conditional Global Optimization Technique, #40861 (2012)
Nima Gholizadeh Doonechaly, Sheik Rahman
Search and Discovery.com
... some complex methodologies were developed such as neural networks. They can integrate wellbore data from different scales. However they can...
2012
Application of Deep Learning for Methane Emissions Quantification and Uncertainty Reduction from Spectrometer Images
Ismot Jahan, Mohamed Mehana, Hari Viswanathan
Unconventional Resources Technology Conference (URTEC)
... oil and gas fields in the fields of Texas, California and New Mexico. Methods: We trained a convolutional neural network (CNN) using Large Eddy...
2024
Abstract: Seismic Characterization of Statoils Leismer Heavy Oil Reservoir; #90172 (2014)
Rainer Tonn
Search and Discovery.com
... and shale. A limited set of input attributes which are combined in a neural network approach delivers reliable results for the sand-shale interpretation...
2014
Bayesian artificial intelligence for geologic prediction: Fracture case study, Horn River Basin
S. M Agar, W. Li, R. Goteti, D. Jobe, S. Zhang
CSPG Bulletin
.... Report (R-277), November 2000. In: The Handbook of Brain Theory and Neural Networks. M.A. Arbib (ed.). MIT Press, Cambridge, p. 157–160. Perez, M...
2019