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Proceedings Papers

Complete detection of small earthquakes uncovers intricate relation between injection and seismicity

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Yangkang Chen, Alexandros Savvaidis, Omar M. Saad, Daniel Siervo, Dino Huang, Yunfeng Chen, Iason Grigoratos, Sergey Fomel, Caroline Breton
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4081978
https://doi.org/10.1190/image2024-4081978.1
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View Paper titled, Complete detection of small earthquakes uncovers intricate relation between injection and seismicity
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Proceedings Papers

Application of interactive convolutional neural network micro-fracture prediction technology based on prestack depth migration data in deep shale gas reservoirs

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Xiaolan Wang, Furong Wu, Junfeng Liu, Dianguang Zang, Xiao Yang, Yangjing Li, Xiaoyan Cheng
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091022
https://doi.org/10.1190/image2024-4091022.1
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View Paper titled, Application of interactive convolutional neural network micro-fracture prediction technology based on prestack depth migration data in deep shale gas reservoirs
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Proceedings Papers

Enhancing seismic data quality: A machine learning approach to denoising and signal damage reduction

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Mark Roberts, Olga Brusova, Leandro Gabioli, Alejandro Valenciano
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094881
https://doi.org/10.1190/image2024-4094881.1
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View Paper titled, Enhancing seismic data quality: A machine learning approach to denoising and signal damage reduction
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Proceedings Papers

Estimating remanent magnetization of Matachewan and Sudbury mafic dikes in the Abitibi greenstone belt from aeromagnetic data

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Skye Hart, Yaoguo Li
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4072718
https://doi.org/10.1190/image2024-4072718.1
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View Paper titled, Estimating remanent magnetization of Matachewan and Sudbury mafic dikes in the Abitibi greenstone belt from aeromagnetic data
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Proceedings Papers

Introducing stochasticity into CNN-based property estimation from angle-stack seismic

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Haibin Di, Tao Zhao, Aria Abubakar
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4076489
https://doi.org/10.1190/image2024-4076489.1
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View Paper titled, Introducing stochasticity into CNN-based property estimation from angle-stack seismic
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Proceedings Papers

DiffSim: Denoising diffusion probabilistic models for generative facies geomodeling

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Minghui Xu, Suihong Song, Tapan Mukerji
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4081304
https://doi.org/10.1190/image2024-4081304.1
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View Paper titled, DiffSim: Denoising diffusion probabilistic models for generative facies geomodeling
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Proceedings Papers

Massive focal mechanism solutions from deep learning in west Texas

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Yangkang Chen, Omar M. Saad, Alexandros Savvaidis, Fangxue Zhang, Yunfeng Chen, Dino Huang, Huijian Li, Farzaneh Aziz Zanjani
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4081476
https://doi.org/10.1190/image2024-4081476.1
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View Paper titled, Massive focal mechanism solutions from deep learning in west Texas
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Proceedings Papers

3D deblending for marine towed-streamer data

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Yangkang Chen, Min Zhou, Ray Abma
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4081664
https://doi.org/10.1190/image2024-4081664.1
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View Paper titled, 3D deblending for marine towed-streamer data
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Proceedings Papers

Unsupervised frequency space domain deep learning framework for reconstructing 5D seismic data

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Gui Chen, Yang Liu, Haoran Zhang, Mi Zhang, Yuhang Sun
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4081840
https://doi.org/10.1190/image2024-4081840.1
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View Paper titled, Unsupervised frequency space domain deep learning framework for reconstructing 5D seismic data
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Proceedings Papers

Using F-score and supervised-mode machine learning algorithms for pore structure prediction from well logs in the Eocene sandstones, Bohai Oilfield, China

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Zongbin Liu, Yan Lu, Yang Zheng, Xiaolin Zhu, Xin Zhou
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4082479
https://doi.org/10.1190/image2024-4082479.1
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View Paper titled, Using F-score and supervised-mode machine learning algorithms for pore structure prediction from well logs in the Eocene sandstones, Bohai Oilfield, China
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Proceedings Papers

Improving fault resolution from multiple angle stacks by latent feature analysis with deep learning

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Fan Jiang, Konstantin Osypov
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4083103
https://doi.org/10.1190/image2024-4083103.1
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View Paper titled, Improving fault resolution from multiple angle stacks by latent feature analysis with deep learning
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Proceedings Papers

Neural network-based seismic data conditioning: Case study of engineering seismic survey data

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Juan Lee, Yongchae Cho
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4086279
https://doi.org/10.1190/image2024-4086279.1
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View Paper titled, Neural network-based seismic data conditioning: Case study of engineering seismic survey data
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Proceedings Papers

Improve automatic migrated gather processing with feature engineering and 4D convolutional neural networks

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Wen Pan, Harry Rynja, Ramakrishna Dandu, Zaifeng Liu, Shuzhen Ye, Antonio De Lilla, Jay Chen, Jeremy Vila
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4086530
https://doi.org/10.1190/image2024-4086530.1
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View Paper titled, Improve automatic migrated gather processing with feature engineering and 4D convolutional neural networks
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Proceedings Papers

Semi-supervised ground-roll wave segmentation with noise label via neural network evolution

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Yinshuo Li, Wenkai Lu
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087062
https://doi.org/10.1190/image2024-4087062.1
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View Paper titled, Semi-supervised ground-roll wave segmentation with noise label via neural network evolution
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Proceedings Papers

Advancing autonomous seismic data acquisition with robotic solutions

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Ezzedeen Alfataierge, Pavel Golikov, Ahmad Ramdani, Abdulrahman Alshuhail
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087170
https://doi.org/10.1190/image2024-4087170.1
View Paper titled, Advancing autonomous seismic data acquisition with robotic solutions
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Proceedings Papers

Pushing the limit of 5D interpolation using deep learning

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Yangkang Chen, Hang Wang, Chao Li, Omar M. Saad
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087480
https://doi.org/10.1190/image2024-4087480.1
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Proceedings Papers

Attention-based self-calibrated convolution neural network for efficient facies classification

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Motaz Alfarraj
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087583
https://doi.org/10.1190/image2024-4087583.1
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View Paper titled, Attention-based self-calibrated convolution neural network for efficient facies classification
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Proceedings Papers

Backscatter analysis of vehicle-generated noise using symmetric autoencoders

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Sanket Bajad, Pawan Bharadwaj
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4087618
https://doi.org/10.1190/image2024-4087618.1
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View Paper titled, Backscatter analysis of vehicle-generated noise using symmetric autoencoders
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Proceedings Papers

Automatic well-log baseline correction via deep learning for rapid screening of potential CO 2 storage sites

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Misael M. Morales, Carlos Torres-Verdín, Michael Pyrcz, Murray Christie, Vladimir Rabinovich
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4088064
https://doi.org/10.1190/image2024-4088064.1
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View Paper titled, Automatic well-log baseline correction via deep learning for rapid screening of potential CO 2 storage sites
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Proceedings Papers

JAX acceleration of implicit FWI and field data application

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H. V. Nguyen, A. Sekar, K. Wang, T. Zhang, T. Nemeth, U. Albertin, M. Eaid, K. Nihei, E. Wang, K. Innanen
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4089099
https://doi.org/10.1190/image2024-4089099.1
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View Paper titled, JAX acceleration of implicit FWI and field data application
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