Presentations in IMAGE 2025

25 August, 2025


During the International Meeting for Applied Geoscience & Energy (IMAGE) 2025 that will be held in Houston the members of DeepWave will be sharing the progress of their research.

Tuesday 26 August

Title: "Balancing Wavenumber Content in FWI Imaging Diffusion Regularization"
Authors: Shuo Zhang, Mohammad H. Taufik, and Tariq Alkhalifah
Session: FWI P2 (Machine Learning 1)
Style: Poster
Time: 10:20 AM to 12:00 PM

Title: "Downward continuation with discrete Physics Informed Neural Networks"
Authors: Francesco Brandolin, and Tariq Alkhalifah
Session: Machine Learning in Seismic Data Processing 2
Style: Poster
Time: 10:20 AM

Title: “A transfer learning approach to multichannel wavefield reconstruction with physics-informed neural networks
Authors: Francesco Brandolin, Matteo Ravasi, and Tariq Alkhalifah
Session: Machine Learning in Seismic Data Processing 1
Style: Oral
Time: 11:35 AM

Title: "Velocity model building with uncertainty quantification using a multi-modal autoregressive generative network"
Authors: Randy Harsuko, Shijun Cheng, and Tariq Alkhalifah
Session: SP 3 (Velocity Model Building and Tomography)
Style: Oral
Time: 1:20 PM to 1:45 PM

Title: "Application of Siamese Neural Network for Multi-parameter Elastic Full Wave Inversion"
Authors: Omar M. Saad, and Tariq Alkhalifah
Session: FWI 2 (Machine Learning 2)
Style: Oral
Time: 1:20 PM to 1:45 PM

Title: "Full waveform inversion with CNN-based velocity representation extension: Field data application"
Authors: Xinru Mu, Omar M. Saad, and Tariq Alkhalifah
Session: FWI P6 (Machine Learning 3)
Style: Poster
Time: 3:40 PM to 5:20 PM

Title: "Bayesian full waveform inversion using Stein variational gradient descent and manifold projections"
Authors: Mohammad Taufik, and Tariq Alkhalifah
Session: FWI P5 (Theory and Methods 2)
Style: Poster
Time: 3:40 PM to 5:20 PM


Wednesday 27 August

Title: "Self-supervised Diffusion Model for Distributed Acoustic Sensing Data Denoising"
Authors: Omar M. Saad, and Tariq Alkhalifah
Session: DAS 5 (Innovative Applications 2)
Style: Oral
Time: 8:25 AM to 8:50 AM

Title: "Neural representation-based waveform inversion via coupled foundational and generative networks"
Authors: Randy Harsuko, Shijun Cheng, and Tariq Alkhalifah
Session: FWI P7 (Novel Approaches and Workflows 1)
Style: Poster
Time: 10:20 AM to 12:00 PM

Title: "Accelerating seismic wavefield representation via latent diffusion-initialized physics-informed neural networks"
Authors: Shijun Cheng, and Tariq Alkhalifah
Session: SMT P3 (Frequency Domain)
Style: Poster
Time: 1:20 PM to 3:00 PM

Title: "Physics-informed neural operator for learning Helmholtz equation in microseismic application"
Authors: Xiao Ma, and Tariq Alkhalifah
Session: SMT P3
Style: Poster
Time: 1:20 PM to 3:00 PM 

Title: "Towards generative modeling of CO2 geological storage with latent conditional diffusion models"
Authors: Vittoria De Pellegrini, and Tariq Alkhalifah
Session: GI P1 (Case Studies 1)
Style: Poster
Time: 3:40 PM to 5:20 PM

Title: "Real-time microseismic event location using a latent diffusion model"
Authors: Yuanyuan Yang, Omar M. Saad, and Tariq Alkhalifah
Session: IPS P1 (New Energies and Hydraulic Fracture Monitoring)
Style: Poster
Time: 3:40 PM to 5:20 PM


Thursday 28 August

Title: "Multi-Dimensional Deconvolution of Seismic-While-Drilling data"
Authors: Ning Wang, Matteo Ravasi, and Tariq Alkhalifah
Session: SP 9 (Novel Solutions and Emerging Technologies)
Style: Oral
Time: 8:25 AM to 8:50 AM

Title: "3D microseismic events localization using a 2D conditional diffusion model"
Authors: Daniel Wamriew, Matteo Ravasi, and Tariq Alkhalifah
Session: IPS 1 (Hydraulically-induced Fracture Network Monitoring)
Style: Oral
Time: 8:50 AM to 9:15 AM

Title: "Deep learning framework for mitigating cycle skipping in full waveform inversion"
Author: Muhammad Iqbal Khatami, Omar M. Saad, and Tariq Alkhalifah
Session Style: Poster Presentation
Session: FWI P9 (Cycle-Skipping)
Style: Poster
Time: 10:20 AM to 12:00 PM

Title: "Separation-PINN: Seismic P- and S-waves mode separation with physics informed neural networks"
Authors: Xinru Mu, Shijun Cheng, and Tariq Alkhalifah
Session: SP P13 (Emerging Technologies)
Style: Poster
Time: 10:20 AM to 12:00 PM 

Title: "Accelerating Marchenko redatuming with deep learning: An application to the Volve field data"
Authors: Ning Wang, Matteo Ravasi, and Tariq Alkhalifah
Session: SP 10 (Enhancement with Machine Learning)
Style: Oral
Time: 10:45 AM to 11:10 AM

Title: "Accelerating the convergence of implicit FWI and LSRTM with a field data application"
Authors: Shaowen Wang, and Tariq Alkhalifah
Session: FWI 11 (Machine Learning 4)
Style: Oral
Time: 1:45 PM to 2:10 PM

Title: "Accelerating Upside-down Rayleigh-Marchenko imaging using Self-Supervised learning"
Authors: Ning Wang, Matteo Ravasi, and Tariq Alkhalifah
Session: SMT 2 (Seismic Imaging: Novel Approaches)
Style: Oral
Time: 1:45 PM to 2:10 PM

Title: "Toward generalizable elastic wave separation: A physics-informed conditional diffusion approach"
Authors: Shijun Cheng, Xinru Mu, and Tariq Alkhalifah
Session: SP 14 (Machine Learning Applications 2)
Style: Oral
Time: 3:10 PM to 3:35 PM


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