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The AAPG/Datapages Combined Publications Database
Showing 2,442 Results. Searched 200,691 documents.
Integrated Fracture Characterization of Devonian Carbonate Bank — A 3-D Case Study From Alberta
Search and Discovery.com
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Machine Learning for Rapid Lithotype Classification from Multi-Log Suites to Assist Interpretation and Property Modeling
Search and Discovery.com
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Representation Learning in Seismic Interpretation
Search and Discovery.com
N/A
An Approach in Caving Recognition by An Integrated Model of Computer Vision and Machine Learning for Any Drilling Environment
Search and Discovery.com
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How to Illuminate the Reservoir from Surface Seismic Data? Integrated Deep Learning Aided Waveform Inversion
Search and Discovery.com
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ABSTRACT: Drill Core Helps Breathe New Life into Appalachian Basin Oil Fields; #90013 (2003)
Ronald R. McDowell, Khashayar Aminian, Katharine L. Avary, Michael Ed. Hohn, David L. Matchen, Benjamin H. Thomas
Search and Discovery.com
... element in our reservoir studies. Electrofacies are a primary input to engineering predictive tools such as numerical simulators or neural networks...
2003
ABSTRACT: Use of Information Technology for Integrated Reservoir Characterization of Permian Gas Fields of the Hugoton Embayment; #90013 (2003)
Timothy R. Carr, Kenneth M. Dean, Martin K. Dubois, Paul Gerlach, Michael H. Maroney, Ernie Morrison, K. David Newell, Kitt E. Noah, Harald Poelchau
Search and Discovery.com
... such as relational queries, neural networks, geostatistics, fast flowpath modeling, and visualization have been employed to generate a better understanding...
2003
ABSTRACT: Overview of the Hugoton Asset Management Project, Southwest Kansas and Oklahoma Panhandle; #90048 (2005)
Martin K. Dubois, Alan P. Byrnes, Timothy R. Carr, Geoffrey C. Bohling, Saibal Bhattacharya, John H. Doveton, John R. Victorine, Nathan D. Winters
Search and Discovery.com
... in predicted permeability and gas volume. The use of neural networks to predict lithofacies at wells, automation and stochastic modeling make it possible...
2005
ABSTRACT: Integrating Seismic Multi-Attribute Classification and Forward Stratigraphic Modeling in Mid-Cretaceous Carbonate Sequences, Arabian Gulf, Offshore Iran; #90051 (2006)
Uwe P. Baaske, Maria Mutti, Francesca Baioni, Giuseppe Bertozzi
Search and Discovery.com
... of the Arabian Plate. For the multi-attribute classification (neural networks-based; unsupervised and supervised) a set of six volume- and gridbased seismic...
Unknown
ABSTRACT Detecting Stratigraphic Features via Cross-Plotting of Seismic Discontinuity Attributes and Their Volume Visualization, #90104 (2010)
Chopra Satinder; Marfurt Kurt J.
Search and Discovery.com
.... Once identified interactively, such visual ‘clustering’ can be used to supervise geobody delineation using neural networks and other classification...
2010
ABSTRACT Identification of New Seismic Evidence Regarding Gas Hydrate Occurrence and Gas Migration Pathways Offshore Uruguay, #90104 (2010)
Tomasini Juan; de Santa Ana Héctor; Johnson Arthur H.
Search and Discovery.com
... sections using multi‐attribute and neural networks focused on the identification of gas chimneys. In this paper we present recent results regarding...
2010
Challenges to Geostatistical Mapping of Porosity and Permeability for Oil and Gas Development and Geologic Carbon Sequestration, #90116 (2010)
Erik R. Venteris, K. M. Carter, S. R. Kelley, C. R. Medina, C. Perry, R. R. Riley
Search and Discovery.com
... to establish the calibrations (linear regression vs. neural networks). The complexity of the depositional environment is another important consideration...
2010
Abstract: Seismic Attribute Applications for Interpreters; #90171 (2013)
Satinder Chopra and Kurt J. Marfurt
Search and Discovery.com
... of these classes of attributes can be quantitatively correlated to well control using multivariate analysis, geostatistics, or neural networks. Seismic...
2013
Abstract: Detecting Stratigraphic Features Via Cross-Plotting of Seismic Discontinuity Attributes and their Volume Visualization; #90172 (2014)
Satinder Chopra, Kurt J. Marfurt
Search and Discovery.com
... delineation using neural networks and other classification algorithms. This saves the seismic interpreters considerable time and effort. We illustrate...
2014
Abstract: From Interpretation to Modeling: The application of Sequence Stratigraphy and Genetic Inversion in the Columbus Basin; #90238 (2015)
Gabriella Kokaram, Arnulfo Briceno, Luis Roncero, and Jean Gérard
Search and Discovery.com
... neural networks combined with a genetic algorithm to produce geologically sound seismic inversion. This technique relies on well logs and seismic...
2015
Abstract: Derived Seismic Attributes Underpin Reservoir Characterization in Data-Driven Methodologies; #90255 (2017)
Keith Holdaway
Search and Discovery.com
... (PCA) and Self-Organizing Maps (SOM) in a closed iterative loop. We shall also touch upon the implementation of nested neural networks as part of a Deep...
2017
Abstract: Probabilistic Assessment of Tight-Gas Sands Using a Data-Driven Modeling Approach; #90308 (2017)
Emre Artun, Burak Kulga, Turgay Ertekin
Search and Discovery.com
... are based on artificial neural networks that can complement the physics-driven modeling approach, namely numerical flow-simulation models. Two different...
2017
Abstract: Time-Dependent Performance Evaluation of Cyclic Injection of Gas Mixtures into Hydraulically-Fractured Wells in Appalachian Sandstones; #90308 (2017)
Emre Artun
Search and Discovery.com
.... Results were also used to develop a screening model that is based on neural networks that forecasts the efficiency. This model was validated...
2017
Abstract: Performance Forecasting and Characterization of Carbonate Reservoirs Using Data-Driven Models; #90308 (2017)
Emre Artun
Search and Discovery.com
... utilizing neural networks is followed to better understand reservoir characteristics and flow dynamics from limited data in carbonate reservoirs. Two case...
2017
Abstract: Pore Type Characterization and Extraction of Effective Porosity With Digital Image Analysis: A Case Study From Miocene Lacustrine Carbonates (Southern Germany); #90310 (2017)
Sven Maerz, Maria Mutti
Search and Discovery.com
... are calculated and their weight on total porosity (Φtotal) and permeability (Ktotal) is quantified by using artificial neural networks (ANN). Step II...
2017
Abstract: Seismic Facies Recognition and Analysis of Stratigraphic Traps in Central Saudi Arabia; #90319 (2018)
Sihai Zhang, Yin Xu, Mahdi AbuAli
Search and Discovery.com
... possible. Supervised artificial neural networks (ANNs) have been proven to be a successful classification technique. Here the ANN is implemented using...
2018
Abstract: Seismic Determination of Dolomitization and Associated Reservoir Quality Using Supervised Machine Learning Techniques: Lower-Middle Permian Carbonates of the Midland Basin;
Abidin Berk Caf, John Pigott
Search and Discovery.com
... Classification and Probabilistic Neural Networks (PNN) on 3D seismic in order to create an estimation of the most probable distribution of dolomite...
Unknown
Abstract: Predicting Brittleness for Wolfcamp Shales Using Statistical Rock Physics and Machine Learning;
Jaewook Lee, David Lumley
Search and Discovery.com
.... In this study, we use the multi-layer feedforward neural network based on the Levenburg-Marquardt algorithm. The approach finds the optimal weights...
Unknown
Abstract: Quantifying Uncertainty in Reservoir Properties by Integrating: Statistical Rock Physics, Deterministic Seismic Attributes and Geostatistical Stochastic Simulation; #91204 (2023)
Monirah Aldossary
Search and Discovery.com
... to predict lithology distribution based on algorithms such as discriminant analysis, Bayesian classification, and neural networks. Therefore...
2023
Abstract: Open-source Python Stack and Tools for Geoscientific Image Analysis and Interpretation -From research to deployment; #91204 (2023)
Mustafa Al Ibrahim
Search and Discovery.com
... learning as backend to automate the estimation partially or completely. Semantic segmentation modules use convolutional neural networks to extract rock...
2023