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The AAPG/Datapages Combined Publications Database

Showing 2,442 Results. Searched 200,693 documents.

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A Coupled Petrophysical-Geophysical Model Demonstrates Velocity Dispersion in a Thin-bedded, Fluvial Reservoir; #40913 (2012)

Richard C. Odom

Search and Discovery.com

..., 2006a, 2006b) from the Image Processing and Neural Networks Lab at University of Texas at Arlington performs the sub-setting and evaluations...

2012

Quantifying and predicting naturally fractured reservoir behavior with continuous fracture models

Creties Jenkins, Ahmed Ouenes, Abdel Zellou, Jeff Wingard

AAPG Bulletin

... density from field seismic velocities using artificial neural networks: Geophysics, v. 63, no. 2, p. 534545, doi:10.1190/1.1444354.Boerner, S., D. Gray, D...

2009

Survey merging using CycleGAN and patchy seismic images

Chaoshun Hu, Fan Jiang, Konstantin Osypov, Julianna Toms

International Meeting for Applied Geoscience and Energy (IMAGE)

... using neural networks into an output data sample. The discriminator network is trained to take in data samples and predict whether each sample is a “real...

2023

Estimating CO2 saturation maps from seismic data using deep convolutional neural networks

Zi Xian Leong, Tieyuan Zhu, Alexander Y. Sun

International Meeting for Applied Geoscience and Energy (IMAGE)

...Estimating CO2 saturation maps from seismic data using deep convolutional neural networks Zi Xian Leong, Tieyuan Zhu, Alexander Y. Sun Estimating CO2...

2022

Statistical Analysis of the Petrophysical Properties of the Bakken Petroleum System

Aimen Laalam, Habib Ouadi, Ahmed Merzoug, Abderraouf Chemmakh, Aldjia Boualam, Sofiane Djezzar, Ilyas Mellal, Meriem Djoudi

Unconventional Resources Technology Conference (URTEC)

... the northern Persian Gulf. Sudakov et. al (2019) utilized deep neural networks and gradient boosting for permeability prediction. Prediction...

2022

Deep learning to maximize the value of fast-track 4D seismic processing

Arnab Dhara, Haron Abdel-Raziq, Denis Kiyashchenko, Asiya Kudarova, Janaki Vamaraju, Albena Mateeva, Pandu Devarakota, Kanglin Wang, Jorge Lopez

International Meeting for Applied Geoscience and Energy (IMAGE)

... signals requires beating the noise, which may increase the timeline further. This paper leverages deep convolutional neural networks (CNN) to reduce...

2022

Insight from keywords co-occurrence in SEG annual meetings: A bibliometric study

Changcheng Liu, Srichand Prajapati

International Meeting for Applied Geoscience and Energy (IMAGE)

... Keywords co-occurrence networks Keywords provide an obvious and clear insight into a publication. Data mining to keywords co-occurrence network could...

2022

Application of Deep Learning for Seismic Horizon Interpretation

James Lowell, Jacob Smith

Australian Petroleum Production & Exploration Association (APPEA) Journal

... horizon accordingly (Fig. 7). Conclusions Deep learning neural networks have demonstrated the ability to learn and distinguish subtle differences...

2019

Rapid Play Evaluation through AI Interpretation

Jacob Smith, Peter Szafian

Australian Petroleum Production & Exploration Association (APPEA) Journal

... adjust parameters based on iterative learning models we have progressed to the current state; neural networks of varying architecture whose internal...

2023

Technology Explained: Artificial Intelligence „ Its Use in Exploration and Production: Part 3

Barrie Wells

GEO ExPro Magazine

... evolved and at how Neural Networks (NN) work. Crucial to understanding the current resurgence of interest, this latest ‘Spring’ in the seasonal cycle of AI...

2022

Abstract: Reservoir Modeling - Methodology and Case Studies

James J. Reeves, W. Hoxie Smith

West Texas Geological Society

... a transform, such as, the use of neural networks. The megascopic scale... Geophysics gives us data on an inter-well or megascopic scale. Important steps...

1998

Extended Abstract: Analytics: Understanding the Hype and Predictive-Modeling Basics

Andrew C. Silver

Houston Geological Society Bulletin

... such as "Analytics," "Business Intelligence," "Big Data," "Machine Learning," "Neural Networks," and "Deep Learning" are being used with increasing frequency across...

2017

Reservoir Characterization of the Giant Hugoton Gas Field, Kansas

T. M. Olson, J. A. Babcock, K. V. K. Prasad, S. D. Boughton, P. D. Wagner, M. H. Franklin, and K. A. Thompson

AAPG Bulletin

... included artificial neural networks, resistivity modeling, geostatistics, and three-dimensional grid manipulation. ©Copyright 1997. The American...

1997

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