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Keywords: classification
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Proceedings Papers
Attention-based self-calibrated convolution neural network for efficient facies classification
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Automatic rock classification from core data to well logs: Using machine learning to accelerate potential CO 2 storage site characterization
Available to PurchaseMisael M. Morales, Oriyomi Raheem, Carlos Torres-Verdín, Michael Pyrcz, Murray Christie, Vladimir Rabinovich
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091525
... We develop a method for automatic rock classification (ARC) from core data to well-log scale using unsupervised machine learning. Our ARC method estimates rock classes along a well to accelerate the petrophysical interpretation of well logs using core data for rapid formation evaluation...
Proceedings Papers
3D GPR data mel-frequency cepstral coefficients features for effective CNN classification of urban utilities
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Application of vector plots, LIME, and SHAP for seismic facies machine learning evaluation
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Transfer learning for cement evaluation: An image classification approach using VDL time series
Available to PurchasePublisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093378
... logsthe backbones of every cement evaluation procedureinto 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
Adarsh Kumar Gupta, Stefano Scaini, Ravi Singh, Simona Costin, Colin Brisco, Raj Janakkumar Bhutwala, Shelly Dutta, Monomita Chattopadhyay, Divyanshu Yadav, Taylor Fink
Publisher: Society of Exploration Geophysicists
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
Regionally consistent depositional models using data analytics and machine learning: A Gulf of Mexico case study
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Unsupervised machine learning for seismic facies classification using a 3D grid approach
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Identification of vehicles from seismic signals using machine learning
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Tortuosity and grain size modeling for permeability prediction in clastics
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Publisher: Society of Exploration Geophysicists
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
Classification of sedimentary basins
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Porosity and permeability calculations in a biolithite using X-ray tomography images
Available to PurchasePublisher: Society of Exploration Geophysicists
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
What samples must seismic interpreters label for efficient machine learning?
Available to PurchasePublisher: Society of Exploration Geophysicists
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
Bayesian discriminative classification with kernel density estimation for rock and fluid property characterization of seismic elastic inversion results
Available to PurchaseKevin Wolf, Jingfeng Zhang, Matt Walker, Pedro Paramo, Jeff Winterbourne, Reetam Biswas, Atish Roy, Carole Decalf
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3908279
... We describe the second half of a new workflow, Bayesian Integrated Reservoir Characterization, or BIRCh (Paramo et al. 2023, Biswas et. al 2023, Walker et. al., 2023). The second half consists of Bayesian classification of Vp, Vs and density estimates from a Bayesian seismic inversion scheme...
Proceedings Papers
Intelligent evaluation and prediction of reservoir based on machine learning method
Available to PurchasePublisher: Society of Exploration Geophysicists
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
A “data-feature-policy” solution for multiscale geological-geophysical intelligent reservoir characterization
Available to PurchasePublisher: Society of Exploration Geophysicists
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...
Proceedings Papers
Interpretation of deep neural networks for carbonate thin section classification
Available to PurchasePublisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3748082
... in the full resolution image. Finally, neural networks trained on Dunham rock types show better interpretability than the pore type dataset. upstream oil & gas machine learning texture representation artificial intelligence baechle interpretation deep learning classification...
Proceedings Papers
ML-based facies classification on acoustic image logs from Brazilian presalt region
Available to PurchasePublisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746644
..., subjective and non-repeatable. Thus, we propose to train an end-to-end deep neural network (DNN) to identify the facies of the carbonate rocks from acoustic image logs and gamma ray logs. The well-trained DNN generalizes well to the test and uncertain sections. Compared with manual classification, the DNN...
Proceedings Papers
Explainable machine learning for hydrocarbon prospect risking
Available to PurchasePublisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3752055
... oil & gas machine learning explainable machine learning logistic regression classifier classification prospect alregib datapoint interpretation american association applied geoscience neural network explanation dataset international exploration geophysicist alfarraj Explainable...
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