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The AAPG/Datapages Combined Publications Database
Showing 2,441 Results. Searched 200,616 documents.
A Novel System for Determining Flaring Efficiency Utilizing Optical Methods and Artificial Intelligence
Ángel E. Esparza, Joe Etheridge
Unconventional Resources Technology Conference (URTEC)
... to implement multiple layers within neural networks and conduct operations in isolation of user’s active participation. Convolutional Neural Networks (CNN...
2023
Accurate seismic data interpolation based on multiband intelligent training
Xueyi Sun, Benfeng Wang, Tongtong Mo
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Nivlet, 2020, Seismic facies classification using supervised convolutional neural networks and semisupervised generative adversarial networks: Geophysics...
2023
A Deep Learning Workflow for Integrated Geological, Petrophysical, and Geomechanical Interpretation
Vanessa Simoes, Atul Katole, Bhuvaneswari Sankaranarayanan, Tao Zhao, Aria Abubakar
Unconventional Resources Technology Conference (URTEC)
... of DL models ranging from classical ML-based approaches to autoencoder based neural networks to the more powerful Transformer-based approaches...
2024
Distribution of Well Performances in Shale Reservoirs and Their Predictions Using the Concept of Shale Capacity; #41139 (2013)
Ahmed Ouenes
Search and Discovery.com
... intelligence route where neural networks are used to correlate the various seismic attributes with rock properties, such as the ones needed to compute the shale...
2013
Assessment of a Marcellus Shale Prospect Using Seismic, Microseismic, and Completions Data
Scott Singleton, Mark Suda
GCAGS Transactions
...) at a time. Neural networks are built from simple units, sometimes called ‘neurons’ by analogy. These units are interlinked by a set of weighted connections...
2012
Advances in Seismic Fault Interpretation Automation, by Randolph Pepper and Gaston Bejarano, #40170 (2005).
Search and Discovery.com
2005
Tectonic and Petrophysical Investigation of Williston Basin Strata around the Weyburn CO2 Sequestration Reservoir
Sandor Sule, Zoltan Hajnal, and Bhaskar Pandit
Saskatchewan Geological Society
... probabilistic neural networks. The impedance values derived from the seismic amplitudes, and those computed from the product of the acoustic and density logs...
2006
Using Analytics to Quantify the Value of Seismic Data for Mapping Eagle Ford Sweetspots
Murray Roth, Ted Royer, Ross Peebles, Michael Roth
Unconventional Resources Technology Conference (URTEC)
... of completions – with bigger not always being better. Neural networks can provide a non-linear option for modeling these reservoirs, but do not provide...
2013
Machine learning-based workflow for identifying fractures and baffles from Formation Micro Imager (FMI) log: A practical application in Illinois Basin Decatur Project (IBDP)
Mohammad Faiq Adenan, Ebrahim Fathi, Tim Carr, Brian Panetta
International Meeting for Applied Geoscience and Energy (IMAGE)
... formations are known to contain extensive natural fracture networks, which are challenging and timeconsuming to quantify manually. The accuracy...
2023
Approaches to Defining Reservoir Physical Properties from 3-D Seismic Attributes with Limited Well Control: an Example from the Jurassic Smackover Formation, Alabama
Bruce S. Hart, Robert S. Balch
West Texas Geological Society
..., 1996; Russell et al., 1997). Multiple regression, geostatistics, neural networks and other approaches are being explored to help correlate log...
1998
Establishing Novel Views on Reservoir Compartmentalization Utilizing Systematic Data-driven Seismic Processing Frameworks
Riaz Alai, M Afiq B Mokhtar, Jun Wang, Yonghe Guo, Ecep Suryana
Indonesian Petroleum Association
... of extracted fault images to full migrated cubes, steers and converges towards identification of detailed fault networks confirmed by attribute analyses...
2019
1995 Rocky Mountain Section Meeting, July 16-19, 1995, Reno, Nevada, - Abstracts, #90959 (1995).
Search and Discovery.com
1995
Characterization and Modeling of Tight Fractured Carbonate Reservoir of Najmah-Sargelu Formation, Kuwait, #41059 (2012)
Prabir Kumar Nath, Sunil Kumar Singh, Reyad Abu-Taleb, Raghav Prasad, Badruzzaman Khan, Sara Bader
Search and Discovery.com
... and Neural Network and co-krigged with ant-track and coherency volume. The major fracture sets were modeled as a combined DFN (Discrete Fracture Network...
2012
An Analytic Approach to Sweetspot Mapping in the Eagle Ford Unconventional Play; #80406 (2014)
Murray Roth, Michael Roth, Ted Royer
Search and Discovery.com
... relationships) of reservoir thickness and size of completions – with bigger not always being better. Neural networks can provide a non-linear option...
2014
From Nanopore to Seismic Scale: the Role of Organic Matter in Vaca Muerta Shale Oil Productivity and Sweet Spot Prediction in Rincón de Aranda Block, #42011 (2017).
Denis Marchal, A. Perez Mazas, C. Naides, F. Sattler, J. Erlicher, G. Kohler, E. Nigro, S. Sommacal, A. Fogden
Search and Discovery.com
... pore networks at microto nanoscale and quantify relative petrophysical properties using an integrated workflow of CT/FIBSEM 3D imaging of core...
2017
A New Method of Making the Thickness Map of the Shallow Sand Body Constrained by Seismic Attribute, #42092 (2017).
Ming Jun, Zhou Xuefeng, Liu Xuetong, Pan Yong, Li Wenbin
Search and Discovery.com
... the relationship between thickness and seismic attributes by linear fitting or artificial neural networks, and calculate the thickness with seismic attributes...
2017
Digital Innovation in Subsea Integrity Management
Ricky Thethi, Dharmik Vadel, Mark Haning, Elizabeth Tellier
Australian Petroleum Production & Exploration Association (APPEA) Journal
... to carefully selected feature (input) variables, which would include vessel motions and, if available, riser motions and curvatures. Recursive neural networks...
2020
Drilling and Completion Anomaly Detection in Daily Reports by Deep Learning and Natural Language Processing Techniques
Hongbao Zhang, Yijin Zeng, Hongzhi Bao, Lulu Liao, Jian Song, Zaifu Huang, Xinjin Chen, Zhifa Wang, Yang Xu, Xin Jin
Unconventional Resources Technology Conference (URTEC)
...), avoiding the gradient explosion or vanishing in traditional recurrent neural networks (RNN), which is suitable for long sequence learning...
2020
Characterization of a deeply buried paleokarst terrain in the Loppa High using core data and multiattribute seismic facies classification
Jhosnella Sayago, Matteo Di Lucia, Maria Mutti, Axum Cotti, Andrea Sitta, Kjetil Broberg, Artur Przybylo, Raffaele Buonaguro, Olesya Zimina
AAPG Bulletin
.... A. Naini, 2007, Using multiattribute neural networks classification for seismic carbonate facies mapping: A workflow example from mid-Cretaceous Persian...
2012
High-Resolution Three-Dimensional Water Saturation Prediction - A Case Study from Offshore Nile Delta; #42206 (2018)
Islam A. Mohamed, Ahmed Hosny, Abdulrahman Ali Mohamed
Search and Discovery.com
... was computed as well as the Lamé parameter volumes of lambda-rho (λρ) and mu-rho (μρ). Implementing probabilistic neural network, the inversion results were...
2018
Analytical and Machine Learning Based Modifications to Unconventional Reservoir Simulation Models to Capture Near-Fracture Transient Effects
Hector E. Barrios-Molano, Alvaro Rey, Shihao Wang
Unconventional Resources Technology Conference (URTEC)
... tested these methods using models with different complexity and compared them with refined models. The third method uses two artificial neural networks...
2024
The Integrated Use of Spectral Decomposition, AVO Analysis, Seismic Attributes, Principal Component, Supervised Neural Facies Classification, and Waveform Calibration for Reservoir Delineation
Search and Discovery.com
...The Integrated Use of Spectral Decomposition, AVO Analysis, Seismic Attributes, Principal Component, Supervised Neural Facies Classification...
2013
Abstract: Automatic Event Picking Using a Probabilistic Neural Network
Troy Thompson
Petroleum Exploration Society of Australia (PESA)
...Abstract: Automatic Event Picking Using a Probabilistic Neural Network Troy Thompson I ABSTRACTS OF TALKS Automatic Event Picking Using...
2003
Abstract: Prediction of Porosity and Permeability of Heterogeneous Shaly Gas Sand Reservoirs Using Neural Network Algorithm
G. M. Hamada, M. A. Elshafei
Geological Society of Malaysia (GSM)
...Abstract: Prediction of Porosity and Permeability of Heterogeneous Shaly Gas Sand Reservoirs Using Neural Network Algorithm G. M. Hamada, M...
2017
Predicting Reservoir Facies Distribution in the Subsurface: Hodgeman County, Kansas
Search and Discovery.com
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