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The AAPG/Datapages Combined Publications Database
Showing 324 Results. Searched 195,364 documents.
Facies Classification Based on Well Logs by Using an Convolutional Neural Network
Search and Discovery.com
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Convolutional Neural Networks for Semantic Segmentation of Micro-Pores in SEM Based Images of Shales
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Deep Convolutional Neural Networks for Seismic Salt-Body Delineation
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ABSTRACT: Maximum Likelihood Deconvolution: a New Perspective, by Jerry M. Mendel; #91035 (2010)
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2010
Abstract: A Convolutional Neural Network for Vuggy Facies Classification from Borehole Images;
Jiajun Jiang, Dawn McAlpin, Chicheng Xu, Rui Xu, Scott James, Weichang Li
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...Abstract: A Convolutional Neural Network for Vuggy Facies Classification from Borehole Images; Jiajun Jiang, Dawn McAlpin, Chicheng Xu, Rui Xu, Scott...
Unknown
Abstract: Horizontal Stress Prediction Using Seismic Velocities Based on Convolutional Neural Network; #91206 (2023)
Fatemeh Saberi, Esmael Makarian, Ayub Elyasi, Tomomewo Stanley Olusegun
Search and Discovery.com
...Abstract: Horizontal Stress Prediction Using Seismic Velocities Based on Convolutional Neural Network; #91206 (2023) Fatemeh Saberi, Esmael Makarian...
2023
Abstract: Predicting the Distribution of Subsurface Sedimentary Facies Using Deep Convolutional Progressive Generative Adversarial Network (Progressive GAN);
Suihong Song, Tapan Mukerji, Jiagen Hou
Search and Discovery.com
...Abstract: Predicting the Distribution of Subsurface Sedimentary Facies Using Deep Convolutional Progressive Generative Adversarial Network...
Unknown
Abstract: AI- Assisted Palynological Analysis Using an Expert-Trained Convolutional Neural Network: A Case Study form the Jurassic in the North Sea; #91204 (2023)
Rader Abdul Fattah, Merijn de Bakker, Alexander Houben, Roel Verreussel, Robert Williams
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...Abstract: AI- Assisted Palynological Analysis Using an Expert-Trained Convolutional Neural Network: A Case Study form the Jurassic in the North Sea...
2023
AI to Improve the Reliability and Reproducibility of Descriptive Data: A Case Study Using Convolutional Neural Networks to Recognize Carbonate Facies in Cores
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N/A
Abstract: Grain Segmentation and Region Mask Generation in Digital Rock Images Using Convolutional Neural Networks;
Rengarajan Pelapur, Arash Aghaei, Connor Burt, Bidur Bohara
Search and Discovery.com
... neural networks. This model is trained on a database of rock models generated using a 3D process-based modeling technique. Convolutional Neural Network...
Unknown
Horizontal Stresses Prediction Using Sonic Transition Time Based on Convolutional Neural Network; #42587 (2023)
Esmael Makarian, Ayub Elyasi, Fatemeh Saberi, Olusegun Stanley Tomomewo
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...Horizontal Stresses Prediction Using Sonic Transition Time Based on Convolutional Neural Network; #42587 (2023) Esmael Makarian, Ayub Elyasi, Fatemeh...
2023
Abstract: GAN-Based Multipoint Geostatistical Inversion Method and Application;
Pengfei Xie, Jiagen Hou
Search and Discovery.com
... technology. Multi-point statistics (MPS) generate model realizations by training image (TI) that are consistent with prior information. This method often...
Unknown
Multichannel seismic deconvolution via 2D K-SVD and convolutional sparse coding
Guiqian Zhang, Xiayu Gao, Bangli Zou, Yaojun Wang, Yingzhu Chen
International Meeting for Applied Geoscience and Energy (IMAGE)
... to the deconvolution objective function in the form of regularization. Frequency Decomposition of Seismic Profile According to the convolutional model...
2023
Automated detection of ferromagnetic pipelines from magnetic total-field anomaly data using convolutional neural networks
Brett Bernstein, Yaoguo Li, Richard Hammack
International Meeting for Applied Geoscience and Energy (IMAGE)
...Automated detection of ferromagnetic pipelines from magnetic total-field anomaly data using convolutional neural networks Brett Bernstein, Yaoguo Li...
2023
Abstract: Recognizing facies in the Red River Formation of North Dakota using a Convolutional Neural Network; #90301 (2017)
Stephan H. Nordeng, Ian E. Nordeng, Jeremiah Neubert, Emily G. Sundell
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...Abstract: Recognizing facies in the Red River Formation of North Dakota using a Convolutional Neural Network; #90301 (2017) Stephan H. Nordeng, Ian E...
2017
Abstract: Object Detection in SEM Images Using Convolutional Neural Networks: Application on Pyrite Framboid Size-Distribution in Fine-Grained Sediments;
Artur Davletshin, Lucy Tingwei Ko, Kitty Milliken, Priyanka Periwal, Wen Song
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...Abstract: Object Detection in SEM Images Using Convolutional Neural Networks: Application on Pyrite Framboid Size-Distribution in Fine-Grained...
Unknown
ABSTRACT: Selected Topics in Seismic Dispersion
Christopher L. Liner
Houston Geological Society Bulletin
..., reflection and transmission coefficients, head waves, etc. The convolutional reflection models we use to model thick and thin bed thin response...
2012
Detect Oil Spill in Offshore Facility Using Convolutional Neural Network and Transfer Learning
Dharmawan Raharjo, Muhamad Solehudin
Indonesian Petroleum Association
...Detect Oil Spill in Offshore Facility Using Convolutional Neural Network and Transfer Learning Dharmawan Raharjo, Muhamad Solehudin This paper has...
2021
Abstract: Modeling of Seismic Signatures of Carbonate Rock Types, by B. Jan and Y. Sun, #90188 (2014)
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2014
Abstract: Machine Learning Assisted Fracture Characterization with Borehole Image Logs in Geothermal Wells; #91204 (2023)
Chicheng Xu
Search and Discovery.com
... from multiple sources of data, we build a convolutional neural network model and train it with the labeled results from borehole image log. The model...
2023
Abstract: Reflectivity Color Correction in Gabor Deconvolution; #90211 (2015)
Carlos Montana and Gary Margrave
Search and Discovery.com
... relies on the fulfillment of a set of assumptions on which the convolutional model is based: stationarity, minimum phase wavelet, white reflectivity...
2015
Representation Learning in Seismic Interpretation
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N/A
Abstract: Deep Learning Inversion on Seismic Cubes; #91204 (2023)
Aleksandr Koriagin, Alexey Kozhevin, Stepan Goriachev, Roman Khudorozhkov
Search and Discovery.com
... show how one can perform inference on full seismic cubes using convolutional neural networks and specific prediction aggregation techniques...
2023
Fracture-cavity carbonate reservoir identification based on channel attention mechanisms
Liuxin Yang, Yongqiang Ma, Guangxiao Deng, Zhen Wang
International Meeting for Applied Geoscience and Energy (IMAGE)
... attention mechanisms in a semi-supervised learning framework. The architecture of our inversion model consists of several attention blocks, which combine...
2023
Looking for a simplified and generalized training set in ML applications for gravity modelling
Luigi Bianco, Ciro Messina, Maurizio Fedi
International Meeting for Applied Geoscience and Energy (IMAGE)
... be seen as the building blocks of each gravimetric anomaly. Here, we discuss preliminary results obtained with a Convolutional Neural Network (CNN...
2023