In EAGE 2023 Annual Conference in Vienna the members of Deepwave will be sharing the progress of their research.
Tuesday 6 June
Title: "Frugal uncertainty analysis for full waveform inversion"
Authors: Muhammad Izzatullah, Matteo Ravasi, and Tariq Alkhalifah
Session: FWI: Theory 2 & Uncertainty
Style: Oral
Time: 9:30 AM - 9:50 AM
Title: "A modified Transformer-based network for seismic processing tasks"
Authors: Randy Harsuko, and Tariq Alkhalifah
Session: ML for Noise Attenuation
Style: Oral
Time: 10:30 AM - 10:50 AM
Title: "A deep learning seismic processing workflow through a pretraining and fine-tuning framework"
Authors: Randy Harsuko, and Tariq Alkhalifah
Session: Noise Attenuation
Style: Oral
Time: 2:45 PM - 3:05 PM
Title: "Prior probability regularized FWI using generative diffusion models"
Author: Fu Wang, Xinquan Huang, and Tariq Alkhalifah
Session: Processing and Interpretation
Style: Oral
Time: 3:05 PM - 3:25 PM
Title: "Efficient Seismic Facies Classification Using Transformer-based Masked Autoencoders"
Authors: Mustafa Alfarhan, Claire Birnie, and Tariq Alkhalifah
Session: Machine Learning for Lithology Prediction
Style: Oral
Time: 4:45 PM - 5:05 PM
Title: "Learnable Gabor kernels in convolutional neural networks for seismic facies classification"
Author: Fu Wang, and Tariq Alkhalifah
Session: Machine Learning for Lithology Prediction
Style: Oral
Time: 5:05 PM - 5:25 PM
Wednesday 7 June
Title: "Microseismic source imaging using physics-informed neural networks with hard constraints: a field application"
Authors: Xinquan Huang, and Tariq Alkhalifah
Session: ML and Processing
Style: Oral
Time: 10:10 AM - 10:30 AM
Title: "A robust seismic tomography framework via physics-informed machine learning with hard constrained data"
Authors: Mohammad Taufik, Tariq Alkhalifah, and Umair Waheed
Session: ML and Processing
Style: Oral
Time: 10:30 AM - 10:50 AM
Title: "Seismic imaging enhancement of sparse ocean-bottom node data using deep learning"
Authors: Shijun Cheng, Xingchen Shi, Weijian Mao, and Tariq Alkhalifah
Session: ML and Processing
Style: Oral
Time: 10:50 AM - 11:10 AM
Title: "D-SWE: Data-driven discovery of a seismic wave equation"
Authors: Shijun Cheng, and Tariq Alkhalifah
Session: ML - Case Studies 2
Style: Oral
Time: 3:05 PM - 3:25 P
Title: "Joint Microseismic Event Detection and Location Based on a Detection Transformer"
Authors: Yuanyuan Yang, Claire Birnie, and Tariq Alkhalifah
Session: DAS and Microseismic
Style: Oral
Time: 4:25 PM - 4:45 PM
Thursday 8 June
Title: "Enabling full-waveform inversion to recover salt bodies in challenging conditions: A field data application"
Authors: Abdullah Alali, and Tariq Alkhalifah
Session: FWI: more Case Studies & Some Theory
Style: Oral
Time: 8:30 AM - 8:50 AM
Title: "Simultaneous local slope estimation and interpolation with PINNs"
Authors: Francesco Brandolin, Matteo Ravasi, and Tariq Alkhalifah
Session: Interpolation and Regularisation
Style: Oral
Time: 8:30 AM - 8:50 AM
Title: "Data and model hard constraints to physics-informed neural networks for near-surface tomography"
Authors: Mohammad Taufik, Isa Yildirim, Matteo Ravasi, and Tariq Alkhalifah
Session: Near-Surface: Corrections and Characterization
Style: Oral
Time: 3:05 PM - 3:25 PM
Title: "Plug-and-Play Stein variational gradient descent for Bayesian post-stack seismic inversion"
Authors: Muhammad Izzatullah, Tariq Alkhalifah, Juan Romero, Miguel Corrales, Nick Luiken, and Matteo Ravasi
Session: FWI and Inversion
Style: Oral
Time: 3:45 PM - 4:05 PM
Title: "Deep Learning to replace or augment model-based seismic inversion?"
Authors: Matteo Ravasi, Nick Luiken, Juan Romero, and Miguel Corrales
Session: FWI and Inversion
Style: Oral
Time: 4:25 PM - 4:45 PM
Title: "GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks"
Authors: Xinquan Huang, and Tariq Alkhalifah
Session: Physics Based Modelling
Style: Oral
Time: 4:45 PM - 5:05 PM
The full agenda of the Technical Programme can be found
here.
