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Proceedings Papers

Multi-conditional seismic velocity synthesis using an autoregressive transformer network

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Randy Harsuko, Shijun Cheng, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093088
https://doi.org/10.1190/image2024-4093088.1
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Proceedings Papers

A Siamese network-based full-wave inversion: Application on real data

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Omar M. Saad, Randy Harsuko, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093684
https://doi.org/10.1190/image2024-4093684.1
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View Paper titled, A Siamese network-based full-wave inversion: Application on real data
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Proceedings Papers

Transformer-based network for an efficient ground roll suppression

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Randy Harsuko, Omar Saad, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094005
https://doi.org/10.1190/image2024-4094005.1
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View Paper titled, Transformer-based network for an efficient ground roll suppression
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Proceedings Papers

The application of a new machine-learning paradigm based on pretraining and fine-tuning, StorSeismic, on field seismic data

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Randy Harsuko, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3741049
https://doi.org/10.1190/image2022-3741049.1
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View Paper titled, The application of a new machine-learning paradigm based on pretraining and fine-tuning, StorSeismic, on field seismic data
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Proceedings Papers

Seismic dataset-specific machine learning framework based on pretraining and fine-tuning

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Tariq Alkhalifah, Randy Harsuko
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3749944
https://doi.org/10.1190/image2022-3749944.1
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View Paper titled, Seismic dataset-specific machine learning framework based on pretraining and fine-tuning
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Proceedings Papers

Deep Earth: Leveraging neural networks for seismic exploration objectives

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Tariq Alkhalifah, Claire Birnie, Randy Harsuko, Hanchen Wang, Oleg Ovcharenko
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750966
https://doi.org/10.1190/image2022-3750966.1
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View Paper titled, Deep Earth: Leveraging neural networks for seismic exploration objectives
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