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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,635 documents.
AAPG Africa Region Annual Conference, 3rd Regional Deepwater Offshore West Africa Conference & Exhibition, 14-19 November 2010 Abuja, Nigeria; Abstracts, #90115 (2010).
Search and Discovery.com
2010
A deep learning based surrogate and uncertainty quantification for fast electromagnetic modeling in complex formations
Yuchen Jin, Chaoxian Qi, Li Yan, Yueqin Huang, Xuqing Wu, Jiefu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... architecture of deep neural networks (DNNs), once a DNN-based surrogate is trained, it could approximate the mapping from the input model parameters...
2022
Deep learning-based joint inversion of time-lapse surface gravity and seismic data for monitoring of 3D CO2 plumes
Adrian Celaya, Mauricio Araya-Polo
International Meeting for Applied Geoscience and Energy (IMAGE)
...d search. Training and Testing Protocols To train our neural networks, we use the Adam optimizer Kingma and Ba (2014) with an initial learning rat...
2024
Machine Learning Applied to 3-D Seismic Data from the Denver-Julesburg Basin Improves Stratigraphic Resolution in the Niobrara
Carolan Laudon, Sarah Stanley, Patricia Santogrossi
Unconventional Resources Technology Conference (URTEC)
...) in 1982 (Kohonen, T., 2001). Self-Organizing Maps employ the use of unsupervised neural networks to reduce very high dimensions of data to a scale...
2019
An Artificial Intelligence Approach to Unlock the Highest Cyclic Steam Stimulation Job in Duri Field
Selvyn Anggreini Stephanie N, Dedi Wilantara, Resiayu Kinasih, Reza Mutiaranti
Indonesian Petroleum Association
.... B., Winarso, B. “Automate Short Cyclic Well Job Candidacy Using Artificial Neural Networks–Enabled Lean Six Sigma Approach: A Case Study in Oil...
2023
Integrating Deep Learning and Seismic Data for Mudstone Characterization and SAGD Development in Heterogeneous Reservoirs
Huiwen Pang, Hanqing Wang, Chuan Qin, Jingwei Tian
Unconventional Resources Technology Conference (URTEC)
... attributes with deep neural networks to generate 12.5 m-grid resolution 3D mudstone distribution models, identifying dispersed mudstone barriers and bedding...
2025
Case Study of 3D Seismic Inversion and Rock Property Attribute Evaluation of the Haynesville Shale
David Metzner, Kevin L. Smith
Unconventional Resources Technology Conference (URTEC)
... of rock properties away from well control. Model based inversion was used to generate a P-Impedance volume. Probabilistic neural networks (PNN) were...
2013
Seismic Imaging of Sturctural, Stratigraphic and Diagenetic Plays - Workshop Summary
Bruce Hart
PTTC
... variable or multi-variate regression; geostatistics including co-kriging; and artificial intelligence using neural networks and fuzzy logic. Quantitative...
2003
Leveraging AI for Production Optimisation
Bjørn-Erik Dale, Vidar Uglane
GEO ExPro Magazine
... systems working in parallel. AI combines hierarchical neural networks, first principle physics, statistical models, and truly known parameters...
2018
Technology
Geo ExPro Staff
GEO ExPro Magazine
... on the latest language models GPT 3.5 and GPT 4. The language models have been developed by OpenAI and are based on so-called neural networks...
2023
Using machine learning to predict total organic content case study: Canning Basin, Western Australia
Russell Menezes
Petroleum Exploration Society of Australia (PESA)
... the model is accurately trained. Previous work on using advanced machine learning techniques like Artificial Neural Networks (ANN) and Support Vector...
2019
Characterization of Depositional Facies Using Artificial Intelligence Method Based on Electrical Log Data
Muhammad Dhery Mahendra, Michella Ayu Pramesti, Vania Utami, Muhammad Rizqy Septyandy, Rezky Aditiyo
Indonesian Petroleum Association
... & Geosciences, 104475, doi:10.1016/j.cageo.2020.104475 Feng, Runhai. 2020. Lithofacies classification based on a hybrid system of artificial neural networks...
2020
-- no title --
AAPG Special Volumes
... model is not based on physical principles. Commonly, neural networks or multivariate linear regression models are calibrated on a set of input...
Unknown
Abstract: Multi-spectral Volumetric Curvature Adding Value to 3D Seismic Data Interpretation; #90171 (2013)
Satinder Chopra and Kurt J. Marfurt
Search and Discovery.com
...) corresponds to the absence of ridges. Such correlations suggest improved delineation of channels through multiattribute cluster analysis or neural networks...
2013
ABSTRACT: USE OF SEISMIC TO CONSTRAIN GEOSTATISTICAL RESERVOIR MODELS: A QUANTITATIVE APPROACH USING PROPORTIONS OF FACIES; #90013 (2003)
BRIGITTE DOLIGEZ, GOMEL PERRINE, ANDRIEUX BENOIT, FOURNIER FREDERIQUE, BEUCHER HELENE
Search and Discovery.com
... of the grid and each facies (fig.5). Other methods using estimation techniques or neural networks allow to extract a quantitative information such as a local...
2003
Abstract: Multi-spectral Volumetric Curvature Adding Value to 3D Seismic Data Interpretation; #90171 (2013)
Satinder Chopra and Kurt J. Marfurt
Search and Discovery.com
...) corresponds to the absence of ridges. Such correlations suggest improved delineation of channels through multiattribute cluster analysis or neural networks...
2013
Abstract: Machine Learning Predicted S-Sonic Log and Facies Driven Modelling: A Seismic Reservoir Characterization Approach; #91204 (2023)
Shraddha Chatterjee, Santan Kumar, Felipe Melo, Veronica Perez, ChungShen Lee
Search and Discovery.com
... sonic log prediction with Deep Neural Networks: an example from Gulf of Mexico, CSEG GeoConvention Abstracts Hosted by Conference Organisers...
2023
Abstract: Obtaining a Complete Well Log Dataset Using Artificial Intelligence Tools; #91209 (2025)
H. Uzkeda Apesteguia, O. Vidal Royo, A. Amilibia, F. O. Escosa
Search and Discovery.com
...: support vector regressor (SVR), random forests RF) and neural networks (multi-layer perceptron regressor, MLPR). For each of them we created three search...
2025
Characterizing (Oil Sands) Ore Body with Process Performance Indicators using Pattern Recognition, #40699 (2011)
Yang Wang, Dean Wallace, Leonard Slipp
Search and Discovery.com
... such as regression and neural networks, the proposed method has a number of advantages: 1. Both of the learning and prediction steps are transparent...
2011
Geological Realism of Deep Water Channel Reservoir Models with Intelligent Priors, #41011 (2012)
Temistocles Rojas, Vasily Demyanov, Mike Christie, Dan Arnold
Search and Discovery.com
... support vector error bounds: Ninth International Conference on Artificial Neural Networks, London, p. 103-108. Wonham, J.P., S. Jayr, R. Mougamba...
2012
STAR A Smart Technology for Maximizing the Value of Heavy Oil Reservoirs; #41229 (2013)
Ronald Pantin, Luis A. Rojas, Syeda Farouq, and Mac Fuenmayor
Search and Discovery.com
... gathering and processing Well Data Technologies involved: • Neural networks • 3D property distribution (Krieging) Seismic Outcomes (Models...
2013
Visualizing Anisotropy in Seismic Facies Using Stratigraphically Constrained, Multi-Directional Texture Attribute Analysis; #120163 (2014)
Christoph Georg Eichkitz, Paul de Groot, Friso Brouwer
Search and Discovery.com
.... West, B.P., S.R. May, J.E. Eastwood, and C. Rossen, 2002, Interactive seismic facies classification using textural attributes and neural networks...
2014
Integrated Petrophysical and High-Resolution Sequence Stratigraphic Characterization of an Unconventional Carbonate Mudrock Reservoir; #51147 (2015)
Beth Vanden Berg, Stephanie LeBlanc, G. Michael Grammer
Search and Discovery.com
..., Spectrum of Pore Types and Networks in Mudrocks and a Descriptive Classification for Matrix-Related Mudrock Pores: AAPG Bulletin, v. 96/6, p. 1071–1098...
2015
Deciphering Seismic Amplitude Language; #41981 (2017)
Luis Vernengo, Eduardo Trinchero, Satinder Chopra
Search and Discovery.com
... stronger or weaker reflections. Similarly, when using neural networks for reservoir property determination, artificial seismic anomalies may be generated...
2017
Seismic Pre-Stack Igneous Reservoir Characterization: Guanaco Field Study Case, Neuquina Basin, Argentina, #20466 (2019).
Hernan De Simone, Mario Sigismondi, Marcelo Barrionuevo,
Search and Discovery.com
..., PSTM processing, generated with multi attribute neural networks and generated with velocity modelling. The last one was selected for presenting...
2019