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Tariq Alkhalifah
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Proceedings Papers

DL-fused elastic FWI: Application to marine streamer data

Pavel Plotnitskii, Oleg Ovcharenko, Vladimir Kazei, Daniel Peter, Tariq Alkhalifah
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3745846
DOI: https://doi.org/10.1190/image2022-3745846.1
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View Paper titled, DL-fused elastic FWI: Application to marine streamer data
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Proceedings Papers

Integrating U-net with full-waveform inversion for an efficient salt body construction

Abdullah Alaliand, Tariq Alkhalifah
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751821
DOI: https://doi.org/10.1190/image2022-3751821.1
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Proceedings Papers

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

Tariq Alkhalifah, Randy Harsuko
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3749944
DOI: 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

Boosting self-supervised blind-spot networks via transfer learning

Claire Birnie, Tariq Alkhalifah
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3748691
DOI: https://doi.org/10.1190/image2022-3748691.1
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View Paper titled, Boosting self-supervised blind-spot networks via transfer learning
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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

Randy Harsuko, Tariq Alkhalifah
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3741049
DOI: 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

PWD-PINN: Slope-assisted seismic interpolation with physics-informed neural networks

Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3742422
DOI: https://doi.org/10.1190/image2022-3742422.1
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View Paper titled, PWD-PINN: Slope-assisted seismic interpolation with physics-informed neural networks
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Proceedings Papers

Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks

Sixiu Liu, Claire Birnie, Tariq Alkhalifah, Andrey Bakulin
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3742756
DOI: https://doi.org/10.1190/image2022-3742756.1
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View Paper titled, Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks
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Proceedings Papers

Source location using physics-informed neural networks with hard constraints

Xinquan Huang, Tariq Alkhalifah
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3738514
DOI: https://doi.org/10.1190/image2022-3738514.1
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Proceedings Papers

Deep Earth: Leveraging neural networks for seismic exploration objectives

Tariq Alkhalifah, Claire Birnie, Randy Harsuko, Hanchen Wang, Oleg Ovcharenko
Publisher: Society of Exploration Geophysicists
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3750966
DOI: 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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Proceedings Papers

Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information

Yuanyuan Li, Andrey Bakulin, Philippe Nivlet, Robert Smith, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581711
DOI: https://doi.org/10.1190/segam2021-3581711.1
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View Paper titled, Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information
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Proceedings Papers

Time-lapse seismic cross-equalization using temporal convolutional networks

Abdullah Alali, Robert Smith, Philippe Nivlet, Andrey Bakulin, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583439
DOI: https://doi.org/10.1190/segam2021-3583439.1
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View Paper titled, Time-lapse seismic cross-equalization using temporal convolutional networks
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Proceedings Papers

Self-supervised learning for random noise suppression in seismic data

Claire Birnie, Matteo Ravasi, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3583248
DOI: https://doi.org/10.1190/segam2021-3583248.1
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View Paper titled, Self-supervised learning for random noise suppression in seismic data
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Proceedings Papers

High-dimensional wavefield solutions based on neural network functions

Tariq Alkhalifah, Chao Song, Xinquan Huang
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584030
DOI: https://doi.org/10.1190/segam2021-3584030.1
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Proceedings Papers

Dual-band generative learning for low-frequency extrapolation in seismic land data

Oleg Ovcharenko, Vladimir Kazei, Daniel Peter, Ilya Silvestrov, Andrey Bakulin, Tariq Alkhalifah
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3579442
DOI: https://doi.org/10.1190/segam2021-3579442.1
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View Paper titled, Dual-band generative learning for low-frequency extrapolation in seismic land data
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Proceedings Papers

A modified physics-informed neural network with positional encoding

Xinquan Huang, Tariq Alkhalifah, Chao Song
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3584127
DOI: https://doi.org/10.1190/segam2021-3584127.1
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View Paper titled, A modified physics-informed neural network with positional encoding
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Proceedings Papers

Target-oriented time-lapse waveform inversion using redatumed data: Feasibility and robustness

Yuanyuan Li, Qiang Guo, Tariq Alkhalifah, Vladimir Kazei
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3420515
DOI: https://doi.org/10.1190/segam2020-3420515.1
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View Paper titled, Target-oriented time-lapse waveform inversion using redatumed data: Feasibility and robustness
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Proceedings Papers

ML-adjoint: Learn the adjoint source directly for full-waveform inversion using machine learning

Bingbing Sun, Tariq Alkhalifah
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3420587
DOI: https://doi.org/10.1190/segam2020-3420587.1
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View Paper titled, ML-adjoint: Learn the adjoint source directly for full-waveform inversion using machine learning
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Proceedings Papers

A reflection-based efficient wavefield inversion to retrieve a good initial background velocity

Chao Song, Tariq Alkhalifah
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3421450
DOI: https://doi.org/10.1190/segam2020-3421450.1
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View Paper titled, A reflection-based efficient wavefield inversion to retrieve a good initial background velocity
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Proceedings Papers

Machine learned Green’s functions that approximately satisfy the wave equation

Tariq Alkhalifah, Chao Song, Umair bin Waheed
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3421468
DOI: https://doi.org/10.1190/segam2020-3421468.1
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View Paper titled, Machine learned Green’s functions that approximately satisfy the wave equation
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Proceedings Papers

Anisotropic eikonal solution using physics-informed neural networks

Umair bin Waheed, Ehsan Haghighat, Tariq Alkhalifah
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3423159
DOI: https://doi.org/10.1190/segam2020-3423159.1
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View Paper titled, Anisotropic eikonal solution using physics-informed neural networks
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