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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,639 documents.
Abstract: Facies Analysis Using 3C 3D Seismic Data in Oil-Sands Reservoir; #90224 (2015)
Carmen C. Dumitrescu, Peter Vermeulen, Sarah Gammie, and Guoping Li
Search and Discovery.com
.... These workflows include joint PP-PS inversion and neural network analysis and Bayesian facies classification. Using the above-mentioned workflow in the oil-sand...
2015
Abstract: Potential Applications of Deep Learning to Geosciences; #90306 (2017)
Pedro Mario Cruz e Silva
Search and Discovery.com
... was designed specially to attend the High-Performance Computing workloads necessary to train a Deep Neural Network with a huge amount of data. The latest...
2017
Abstract: Machine Learning-assisted Vuggy Carbonate Reservoir Characterization: Application to Mature Oil Fields; #90302 (2018)
Shuvajit Bhattacharya, Autumn Haagsma, Erica Howat, Jared Schuetter, Amber Conner, Srikanta Mishra
Search and Discovery.com
... of various machine learning algorithms, such as Support Vector Machine, Artificial Neural Network, and Random Forest etc., are used to train the model using...
2018
Abstract: Controls on the Porosity-Permeability Relationship of Limestones; #90319 (2018)
Shuo Zhang, Peng Lu
Search and Discovery.com
... porosity contribute to the porosity-permeability relationship, while intra-particle porosity has little contribution. Multivariable regression and neural...
2018
Abstract: Estimating the CO2 Saturation Changes Using Machine Learning Based on Time-Lapse Seismic Data;
Zhi Zhong
Search and Discovery.com
..., the generative adversarial neural network (GAN) is used to facilitate the solution of both the forward and inverse problems in time-lapse seismic inversion...
Unknown
Abstract: Reservoir Monitoring with Controlled-Source EM: New Advances in Acquisition and Machine Learning Interpretation; #91204 (2023)
Daniele Colombo, Ernesto Sandoval-Curiel, Ersan Turkoglu, Taqi Alyousuf
Search and Discovery.com
.... The application demonstrates the neural network is capable to predict the fluid distributions also in presence of noise...
2023
Abstract: A Holistic Approach towards Sedimentological and Stratigraphical Characterization of the Permo-Carboniferous Strata, Saudi Arabia; #91204 (2023)
Kanchan Dasgupta, May AlSheikh, Anar Nabiyev, Ismail Fahmy, John Melvin
Search and Discovery.com
... the core data and complete missing sections in the core. In the next phase, neural network modeling was performed to predict facies or depositional...
2023
Abstract: AI Seismic Method Reveals Hidden Details in Complex Giant Carbonate Field; #91204 (2023)
Mujeeb Oke
Search and Discovery.com
.... Multivariate attributes analysis was carried out, and principal components estimated. Unsupervised Neural-Net classification was subsequently carried out...
2023
Abstract: Generating Features from Seismic Data for Overpressure Prediction; #91204 (2023)
Georgy Peshkov, Anton Egorov, Nikita Bukhanov, Anton Voskresenskiy, Pavel Golikov
Search and Discovery.com
... by an artificial neural network - an autoencoder - that learns to encode the unlabeled data, i.e., each seismic impedance trace. After encoding, each trace...
2023
Abstract: Eff0-UNet: A Novel Deep Learning Architecture for Subsurface Salt Body Segmentation; #91209 (2025)
Joshua Atolagbe, Olabisi Adekeye, Ardiansyah Koeshidayatullah, Olalekan Akindele
Search and Discovery.com
... Neural Network (CNN) relies on supervised deep-learning techniques that require ground truths. However, challenges arise from the scarcity of accessible...
2025
Use of Post-Stack Seismic in Fractured Reservoir Characterization, by Gary C. Robinson, Ahmed Ouenes, Udo Araktingi, and Abdel Zellou; #90052 (2006)
Search and Discovery.com
2006
De-Risking a Gas Development Using Geophysical Methods; #41086 (2012)
Alessandro Mannini, Phil Rawstron, Shin Ni Chai, and Andrew Spedding
Search and Discovery.com
... of a model base simultaneous elastic inversion (MBEI) followed by a neural network (NN) analysis aimed at producing a seismic derived Volume of Shale (Vsh...
2012
Use of Meta Attributes to Identify Migration Pathways in a Tertiary Basin, Deepwater Sundaland Margin
Paul Ware, Fred Aminzadeh, Brenton Oke, Tom Setzer
Indonesian Petroleum Association
... neural network technology was implemented: 1. Picking known or suspected hydrocarbon transport conduits ("chimneys") and non-chimneys from...
2004
Innovative 3-D Reservoir Characterization in the Papua New Guinea Fold Belt; #30440 (2016)
Georgia A. Boyd, Vanni Donagemma, John G. McPherson, Mathew K. Dubsky, Yingying Sun, Stuart A. Barclay
Search and Discovery.com
... interpretation, core analysis, well tops, and well logs to predict reservoir presence and quality. True Stratigraphic Thickness maps, Neural-Network...
2016
AAPG GEO 2010 Middle East, Geoscience Conference & Exhibition, Innovative Geoscience Solutions – Meeting Hydrocarbon Demand in Changing Times, March 7-10, 2010 – Manama, Bahrain, #90105 (2010)
Search and Discovery.com
2010
Application of Unsupervised Machine Learning Techniques in Detailed Recognition of Gas Producing Subtle Submarine Channel System
Mariusz Łukaszewski
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Two unsupervised classifying algorithms were used in the research: Neural Net 3D and Kohonen SOM 3D. The obtained results allowed for a geological...
2021
Application of Unsupervised Machine Learning Techniques in Detailed Recognition of Gas Producing Subtle Submarine Channel System; #42588 (2023)
Mariusz Łukaszewski
Search and Discovery.com
... classifying algorithms were used in the research: Neural Net 3D and Kohonen SOM 3D. The obtained results allowed for a geological interpretation consistent...
2023
LTRO Workflow for Fast Turnaround Field-Optimisation Studies and Efficient Development Decisions, #42190 (2018).
Cristian Masini, Sergey Ryzhov, Dmitry Kuzmichev, Rina Bouy, Saeed Majidaie, Denis Malakhov
Search and Discovery.com
... was then combined with the forecast for the various infill scenarios using predictive analytics approach driven by neural network engine coupled...
2018
Determination of Density from Seismic Data; #42456 (2019)
Ritesh Kumar Sharma, Satinder Chopra
Search and Discovery.com
... processing both PP and PS seismic data can be used for a joint impedance inversion. • Finally, multi-linear regression analysis and/or a neural network...
2019
3D Seismic Interpretation and Internal Structural Architecture of the Maricá Mass-transport Complex, Northern Santos Basin, Brazil; #11287 (2020)
Bruno Merss, Barbara Trzaskos
Search and Discovery.com
... seismic-facies have less internal Figure 3. Neural Network training using a Vshale calculated log and the disaggregation due to the continued...
2020
Right Time Analysis for the Digital Oilfield
Steven Knabe, David Shaw, Steve Webb
Indonesian Petroleum Association
... workflow is well designed around the engineers who perform the analysis and make decisions: Neural networks and other artificial intelligence (AI...
2008
Pushing the limit of 5D interpolation using deep learning
Yangkang Chen, Hang Wang, Chao Li, Omar M. Saad
International Meeting for Applied Geoscience and Energy (IMAGE)
... ]. 𝑐 𝑐 Here, we propose an additional step, concatenating the output of the two attention networks (𝐴2 , 𝐴3 ) to compute 𝐴4 , i.e., 𝐴4 = [ 𝐴2...
2024
Backscatter analysis of vehicle-generated noise using symmetric autoencoders
Sanket Bajad, Pawan Bharadwaj
International Meeting for Applied Geoscience and Energy (IMAGE)
...; Hanasoge and Branicki, 2013; Nakata et al., 2015; Weaver and Yoritomo, 2018; Ritzwoller and Feng, 2019), where we train neural networks to extract...
2024
Identification of Fractured Volcanic Reservoir Based on Intregated Well Data and Seismic Attributes Analysis on the Java Field, North West Java Basin: Its Implication for Hydrocarbon Prospects and Development
Ongki Ari Prayoga, M. Taslim, Aji Rahmat Ginanjar, Annisa Barkah, Dhea Rizky Nurhadi
Indonesian Petroleum Association
..., a petrophysical calculation technique on the artificial neural network concept has been developed for evaluation of the fractured volcanic rock...
2017
Successful Downhole Microfracture, and PVT-Quality Formation Fluid Sampling from an Unconventional Reservoir
Jairo Corredor, Erek Hutto, Farrukh Hamza, Rohin Naveena-Chandran, Bill Grieser
Unconventional Resources Technology Conference (URTEC)
... Well Performance in a Discontinuous Tight Oil Reservoir using Artificial Neural Networks. Presented at the SPE Unconventional Resources Conference...
2019