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Tariq Alkhalifah
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Proceedings Papers

Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site

Yuanyuan Yang, Omar M. Saad, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100633
https://doi.org/10.1190/image2024-4100633.1
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View Paper titled, Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: An application to the Utah FORGE site
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Proceedings Papers

Physics-informed full-waveform inversion using learned wavefield solutions

Xinquan Huang, Tariq Alkhalifah, Fu Wang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100716
https://doi.org/10.1190/image2024-4100716.1
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View Paper titled, Physics-informed full-waveform inversion using learned wavefield solutions
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Proceedings Papers

A prior regularized 3D full-waveform inversion using 2D generative diffusion models

Fu Wang, Tariq Alkhalifah, Xinquan Huang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100734
https://doi.org/10.1190/image2024-4100734.1
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View Paper titled, A prior regularized 3D full-waveform inversion using 2D generative diffusion models
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Proceedings Papers

Conditional image prior for uncertainty quantification in full-waveform inversion

Lingyun Yang, Omar M. Saad, Tariq Alkhalifah, Guochen Wu
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4090025
https://doi.org/10.1190/image2024-4090025.1
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View Paper titled, Conditional image prior for uncertainty quantification in full-waveform inversion
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Proceedings Papers

Least-squares reverse time migration for attenuating TTI media

Xinru Mu, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091384
https://doi.org/10.1190/image2024-4091384.1
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View Paper titled, Least-squares reverse time migration for attenuating TTI media
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Proceedings Papers

Enhancing full-waveform inversion with a deep-learning approximated inverse Hessian: A field data application

Mustafa Alfarhan, Matteo Ravasi, Fuqiang Chen, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4091975
https://doi.org/10.1190/image2024-4091975.1
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View Paper titled, Enhancing full-waveform inversion with a deep-learning approximated inverse Hessian: A field data application
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Proceedings Papers

Diffusion regularization for multi-parameter near-surface elastic full-waveform inversion

Mohammad Hasyim Taufik, Fu Wang, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092707
https://doi.org/10.1190/image2024-4092707.1
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View Paper titled, Diffusion regularization for multi-parameter near-surface elastic full-waveform inversion
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Proceedings Papers

Multi-conditional seismic velocity synthesis using an autoregressive transformer network

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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View Paper titled, Multi-conditional seismic velocity synthesis using an autoregressive transformer network
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Proceedings Papers

Unsupervised multi-stage deep learning network for seismic data denoising

Omar M. Saad, Matteo Ravasi, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4093459
https://doi.org/10.1190/image2024-4093459.1
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View Paper titled, Unsupervised multi-stage deep learning network for seismic data denoising
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Proceedings Papers

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

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

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

Seismic resolution enhancement with self-supervised learning

Shijun Cheng, Tariq Alkhalifah, Haoran Zhang
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4094093
https://doi.org/10.1190/image2024-4094093.1
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View Paper titled, Seismic resolution enhancement with self-supervised learning
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Proceedings Papers

Unit-constrained data-driven discovery of a wave equation

Shijun Cheng, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4098603
https://doi.org/10.1190/image2024-4098603.1
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View Paper titled, Unit-constrained data-driven discovery of a wave equation
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Proceedings Papers

Enhancing seismic image resolution using Brownian diffusion bridge model

Bingbing Sun, Abdulmoshen M. Ali, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4098633
https://doi.org/10.1190/image2024-4098633.1
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View Paper titled, Enhancing seismic image resolution using Brownian diffusion bridge model
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Proceedings Papers

Full-waveform inversion using velocity-encoded physics-informed neural networks

Mohammad Taufik, Xinquan Huang, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100289
https://doi.org/10.1190/image2024-4100289.1
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View Paper titled, Full-waveform inversion using velocity-encoded physics-informed neural networks
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Proceedings Papers

Integrating U-net into full-waveform inversion for salt body building: A challenging case

Sixiu Liu, Abdullah Alali, Shijun Cheng, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4100160
https://doi.org/10.1190/image2024-4100160.1
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View Paper titled, Integrating U-net into full-waveform inversion for salt body building: A challenging case
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Proceedings Papers

Fault MLReal: A fault delineation study for the Decatur CO 2 field data using neural network predicted passive seismic locations

Hanchen Wang, Yinpeng Chen, Tariq Alkhalifah, Youzuo Lin
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3910971
https://doi.org/10.1190/image2023-3910971.1
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View Paper titled, Fault MLReal: A fault delineation study for the Decatur CO 2 field data using neural network predicted passive seismic locations
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Proceedings Papers

PINNslope: Physics-informed neural network slope prediction and interpolation with positional encoding

Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3907270
https://doi.org/10.1190/image2023-3907270.1
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View Paper titled, PINNslope: Physics-informed neural network slope prediction and interpolation with positional encoding
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Proceedings Papers

A deep learning-based inverse Hessian for full-waveform inversion

Mustafa Alfarhan, Matteo Ravasi, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 27–September 1, 2023
Paper Number: SEG-2023-3908592
https://doi.org/10.1190/image2023-3908592.1
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View Paper titled, A deep learning-based inverse Hessian for full-waveform inversion
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Proceedings Papers

Boosting self-supervised blind-spot networks via transfer learning

Claire Birnie, Tariq Alkhalifah
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3748691
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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