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Keywords: segmentation
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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-2024-4091840
... network artificial intelligence reservoir characterization seismic data fault structure dual-threshold iteration exploration geophysicist segmentation energy system engineering operator machine learning algorithm different loss function american association ant-tracking algorithm binarized...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094634
... Seismic facies segmentation plays a crucial role in identifying facies types based on the characteristics of seismic reflectors. The application of using convolutional neural networks (CNNs) in seismic facies segmentation is growing rapidly. However, CNN-based models face practical problems...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4099656
..., this study introduces a hybrid model that integrates a matched filter and the Segment Anything Model (SAM). SAM serves as a promotable segmentation system with zero-shot generalization capabilities to identify methane plume objects and images, eliminating the requirement for additional training...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911313
... and geological consistency while requiring minimal amounts of labelled data. deep learning stratigraphy geology prediction geologist neural network reservoir characterization upstream oil & gas artificial intelligence machine learning segmentation international stratigraphic constraint...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3911212
... information geological subdiscipline exploration geophysicist prediction energy 10 resolution enhancement society physic template workflow international firstly segnet applied geoscience segmentation spcgan Intelligent digital rock physics assisting quantitative seismic interpretation Zhiyu...
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-2023-3901563
...-domain velocity model. geology artificial intelligence geologist rock type machine learning modeling asia government reservoir characterization geobody segmentation geobody identification inversion exploration geophysicist applied geoscience resolution american association upstream...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907037
... UNet architectures are widely used for segmentation, classification, and regression (inversion) tasks in Deep Learning (DL)-driven Geosciences (see Adler et al. (2021)). The architecture outperforms most others, and it has been shown to be generally robust (Huang et al., 2020). Unfortunately...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3737490
... the North Sea. Next we implemented aleatoric uncertainty as a proxy to filter out areas where high uncertainty and low probability exist. The results show different levels to improve the continuity of fault segments and decrease the occurrence of false-positive faults. upstream oil & gas...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3742756
... the noise. In this work, we propose two novel elements for enhancing blind-spot denoising: (1) the introduction of a 2-class segmentation task to aid the network in identification of interest areas of signals that require particular attention during denoising, and; (2) the introduction of a trace-wise noise...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745790
... learning generator exploration geophysicist dataset augmented fomel geophysics fault association interpretation segmentation energy 10 wasserstein gan augmentation applied geoscience american association characteristic Seismic data augmentation for automatic faults picking using deep...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746136
... upstream oil & gas artificial intelligence exploration geophysicist deep learning reservoir characterization algorithm neural network machine learning international china university segmentation american association dianyong ruan institute discontinuity energy 10 society...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3747524
... coefficient machine learning-based residual moveout picking society editing segmentation information energy 10 Machine learning-based residual moveout picking Farhad Bazargani Wenjun Zhang , Anu Chandran , Zaifeng Liu , and Harry Rynja Shell International Exploration and Production; Shell India...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751305
... upstream oil & gas artificial intelligence segmentation deep learning machine learning exploration geophysicist micrite dataset reservoir characterization noise american association applied geoscience petroleum geology viswasanthi chandra neural network procedure application...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751237
... digitization engine to transform well log data embedded in raster images into digital data that is saved in JSON, CSV, or LAS format. A typical raster image captures the well log information in its constituents as document header, tables, plot segments, depth tracks, and log header sections. The proposed...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751735
... neural network machine learning partition upstream oil & gas reservoir characterization contrastive learning artificial intelligence learning segmentation volumetric supervised contrastive learning presented american association semantic segmentation applied geoscience alregib...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751545
.... fracture characterization reservoir characterization exploration geophysicist upstream oil & gas artificial intelligence reservoir fracture delineation conditional generative adversarial network international neural network dataset applied geoscience segmentation deep learning machine...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751782
... of a seismic attribute that may be significant in seismic fault interpretation or a seismic fault attribute is treated as an image segmentation problem and using different deep learning (DL) architectures. For doing this, the researchers mainly concentrate on applying cutting-edge DL architectures in computing...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3737749
..., the resulting 4D effects are usually oversmoothed and their strength is underestimated. We instead propose to adapt the joint inversion and segmentation algorithm introduced by Ravasi and Birnie (2021) to the problem of 4D seismic inversion. Our technique produces two acoustic impedance models by inverting...
Proceedings Papers

Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3734950
... We combine the ideas of transfer learning and semantic segmentation of seismic facies in a dataset-to-dataset transfer learning research problem with the goal of reducing the number of inputted labeled seismic slices while also improving computational cost and accuracy of predicting geological...

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