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Keywords: classification
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Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087583
... Recent advances in deep learning and computer vision have resulted in giant leaps in automating some of the cumbersome oil and gas exploration and production operations. Deep convolutional neural networks have been widely used for seismic interpretation tasks including detection, classification...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092022
... cepstral coefficient (MFCC) feature. Then, the 2D MFCC feature is the input pattern for CNN classification training. Over 99% accuracies are obtained for training and testing after 300 epochs. Consequently, only 1/2500 misclassification is recorded in the confusion matrix. resource in place estimate...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092987
... This study investigates explainable AI (XAI) methods to understand the inner workings of a machine learning (ML) architecture trained for seismic facies classification in the Canterbury Basin, New Zealand. Specifically, we analyze the global and local importance of a suite seismic attributes...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093378
... logs—the backbones of every cement evaluation procedure—into visual, time-frequency representations. Building upon this, we introduce a transfer learning strategy for the classification of the acquired images, focusing on assessing the cement isolation potential. The cornerstone of transfer learning...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093500
... developed to make PS monitoring time efficient and cost effective. geologist complex reservoir steam-assisted gravity drainage artificial intelligence heavy oil play unconventional play sagd enhanced recovery thermal method machine learning heavy oil field integrity classification cold...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4099480
... geophysicist case study test area classification identification lithology Regionally consistent depositional models using data analytics and machine learning: a Gulf of Mexico case study. Arpana Sarkar*, Dan Ferdinand Fernandez, and Daniel Smith, SLB Summary In this study we present an effective...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4099702
... resolution to find patterns on the volume which can be associated with seismic facies. The classification of the seismic facies in 3D volumes provides insights into depositional setting and potential reservoir distribution. Furthermore, ML-assisted facies classification is a crucial first step for regional...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3914280
... networks exceeds 92%, and CNN presents the best performance among the three networks, suggesting the potential of seismic data in vehicle classification. The results are promising for the future application in real traffic management. upstream oil & gas ground transportation deep learning...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3915751
... permeability porosity hydraulic tortuosity diameter classification permeability prediction relation american association discriminator society sedimentary rock clastic rock tortuosity prediction modeling exploration geophysicist rocklog consultancy summary applied geoscience international...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3912400
... neural network anomaly reservoir characterization gradient artificial intelligence segmentation geology north america government machine learning ferromagnetic pipeline international applied geoscience national energy technology laboratory prediction american association classification...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3917017
... Many classification schemes of sedimentary basins have been developed but an effective classification system remains elusive, rendering communication and comparisons difficult. Here we propose a simple yet robust classification scheme based on driving mechanisms and lithosphere mechanical...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3915923
... reservoir characterization biolithite international energy 10 matrix society realization classification pore magnitude carbonate extraction resolution Porosity and permeability calculations in a Biolithite using x-ray tomography images Adetomiwa Aderemi*, Elli-Maria Charalampidou, Zeyun Jiang...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3916315
... atlas american association expanded abstract exploration geophysicist disagreement applied geoscience conference alregib learning algorithm selection classification What Samples must Seismic Interpreters Label for Ef cient Machine Learning? Ryan Benkert, Mohit Prabhushankar, and Ghassan...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907951
.... Reservoir evaluation via well logging requires manual classification based on logging data. Machine learning can solve this issue by discovering new rules, presenting tremendous potential for growth. Our study aims to categorize reservoirs by the reservoir quality index (RQI) and the pore geometry...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3739659
... and development of four such NLP based applications which may interest the O&G community. We discuss attribute extraction, semantic information retrieval, natural language query translation and technical document classification. application machine learning exploration geophysicist upstream oil...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3739386
... spectral coefficient applied geoscience energy 10 upstream oil & gas machine learning exploration geophysicist reflection coefficient classification artificial intelligence matrix international china university society correspond fanchang zhang east china nanying lan information...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745089
... mountainous seismic acquisition efficiency american association international operation infrastructure upstream oil & gas seismic acquisition obstacle classification dom exploration geophysicist applied geoscience society Application of LiDAR in mountainous seismic acquisition in the south...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3748948
... Innovative interpretation methods based on efficient measurements are the key to establishing accurate “geological-geophysical” mappings. The multi-solvability of petrophysical responses leads to the complex non-linear relationship between multi-scale geophysical data and the classification...

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