Presentations in IMAGE 2024

26 August, 2024


 

During the International Meeting for Applied Geoscience & Energy (IMAGE) 2024 that will be held in Houston the members of Deepwave will be sharing the progress of their research.

Tuesday 27 August

Title: "Multi-conditional seismic velocity synthesis using an autoregressive Transformer network"
Authors: Randy Harsuko*, Shijun Cheng, and Tariq Alkhalifah
Session ID / Title: SP 1 / Velocity Model Building and Applilcation
Style: Oral
Time: 8:50 AM - 9:15 AM

Title: "Unit-constrained data-driven discovery of a wave equation"
Authors: Shijun Cheng*, and Tariq Alkhalifah
Session ID / Title: SMT 2 / New Approaches in Wavefield Modeling
Style: Oral
Time: 10:20 AM - 10:45 AM

Title: "Enhancing Full Waveform Inversion with a deep-learning approximated inverse Hessian: A field data application"
Authors: Mustafa Alfarhan*, Matteo Ravasi, Fuqiang Chen, and Tariq Alkhalifah
Session ID / Title: FWI 2 / Machine Learning 1
Style: Oral
Time: 10:20 AM - 10:45 AM

Title: "A prior regularized 3D Full Waveform Inversion using 2D generative diffusion models"
Authors: Fu Wang*, Tariq Alkhalifah, and Xinquan Huang
Session ID / Title: FWI P2 / Machine Learning 2
Style: Poster
Time: 10:20 AM - 12:00 PM

Title: “Physics-informed full waveform inversion using learned wavefield solutions
Authors: Xinquan Huang*, Tariq Alkhalifah, and Fu Wang
Session ID / Title: FWI P2 / Machine Learning 2
Style: Poster
Time: 10:20 AM - 12:00 PM

Title: "Seismic inversion with implicit neural representations"
Authors: Juan Romero*, Wolfgang Heidrich, Nick Luiken, and Matteo Ravasi
Session ID / Title: AAS 2 / Machine Learning 1
Style: Oral
Time: 11:10 AM - 11:35 AM

Title: "Least-squares reverse time migration for attenuating TTI media"
Authors: Xinru Mu*, and Tariq Alkhalifah
Session ID / Title: SP 2 / Anelastic and Diffraction imaging
Style: Oral
Time: 11:35 AM - 12:00 PM

Title: "Integrating U-Net into full-waveform inversion for salt body building: A challenging case"
Authors: Sixiu Liu, Abdullah Alali, Shijun Cheng, and Tariq Alkhalifah*
Session ID / Title: FWI P3 / Machine Learning 3
Style: Poster
Time: 1:20 PM - 3:00 PM

Title: "Deep learning-based 3D microseismic event direct location using simultaneous surface and borehole data: an application to the Utah FORGE site"
Authors: Yuanyuan Yang, Omar Saad*, and Tariq Alkhalifah
Session ID / Title: IPS P4 / Applications in Energy Transition
Style: Poster
Time: 3:40 PM - 5:20 PM

Title: “Regularization strategies for Seis2Rock-based petrophysical inversion of pre-stack seismic data"
Authors: Miguel Corrales*, Nick Luiken, Hussein Hoteit, and Matteo Ravasi
Session ID / Title: AAS 3 / AVO Inversion 2
Style: Oral
Time: 4:05 PM - 4:30 PM


Wednesday 28 August

Title: "Transformer-based network for an efficient ground roll suppression"
Authors: Randy Harsuko*, Omar Saad, and Tariq Alkhalifah
Session ID / Title: NS P9 / Seismic and Machine Learning
Style: Poster
Time: 1:20 PM - 3:00 PM

Title: "Seismic resolution enhancement with self-supervised learning"
Authors: Shijun Cheng*, Haoran Zhang, and Tariq Alkhalifah
Session ID / Title: SP 9 / Machine Learning Imaging Enhancement
Style: Oral
Time: 3:40 PM - 4:05 PM


Thursday 29 August

Title: "A Siamese Network-based Full Wave Inversion: Application on Real Data"
Authors: Omar M. Saad*, Randy Harsuko, and Tariq Alkhalifah
Session ID / Title: FWI P7 / Machine Learning 4
Style: Poster
Time: 8:00 AM - 9:40 AM

Title: "Conditional image prior for uncertainty quantification in full waveform inversion"
Authors: Lingyun Yang, Omar M. Saad, Tariq Alkhalifah*, and Guochen Wu
Session ID / Title: FWI P7 / Machine Learning 4
Style: Poster
Time: 8:00 AM - 9:40 AM

Title: "Diffusion regularization for multi-parameter near-surface elastic full waveform inversion"
Authors: Mohammad Taufik*, Fu Wang, and Tariq Alkhalifah
Session ID / Title: FWI P7 / Machine Learning 4
Style: Poster
Time: 8:00 AM - 9:40 AM

Title: "Unsupervised Multi-Stage Deep Learning Network for Seismic Data Denoising"
Authors: Omar M. Saad*, Matteo Ravasi, and Tariq Alkhalifah
Session Style: Oral Presentation
Session ID / Title: SP 12 / Noise Attenuation with Machine Learning
Style: Oral
Time: 11:35 AM - 12:00 PM

Title: "Full waveform inversion using velocity-encoded physics-informed neural networks"
Authors: Mohammad Taufik*, and Tariq Alkhalifah
Session ID / Title: SP 14 / Novel Solutions and Advanced Technologies 2
Style: Oral
Time: 4:00 PM - 4:25 PM



The full agenda of the Technical Programme can be found here.