During the International Meeting for Applied Geoscience & Energy (IMAGE) 2023 that will be held in Houston the members of Deepwave will be sharing the progress of their research.
Tuesday 29 August
Title: "Prior velocity distribution regularized FWI using diffusion models: A field application"
Authors: Fu Wang*, Xinquan Huang, and Tariq Alkhalifah
Session ID / Title: FWI P1 / Machine Learning 1
Style: Poster
Time: 10:45 AM - 11:10 AM
Title: "Efficiently learned wavefield solutions using physics-informed neural networks with hash encoding"
Authors: Xinquan Huang*, and Tariq Alkhalifah
Session ID / Title: MLDA2 / Physics-informed neural networks and Fourier neural operators
Style: Oral
Time: 10:45 AM - 11:10 AM
Title: "Physics informed neural learning of wavefields using Gabor basis functions"
Authors: Tariq Alkhalifah*, and Xinquan Huang
Session ID / Title: MLDA2 / Physics-informed neural networks and Fourier neural operators
Style: Oral
Time: 11:10 AM - 11:35 AM
Title: "Overcoming the challenges of the nonlinearity of full-waveform inversion with a pretrained transformer network to predict low frequencies and an initial velocity"
Authors: Randy Harsuko*, and Tariq Alkhalifah
Session ID / Title: FWI P1 / Machine Learning 1
Style: Poster
Time: 11:35 AM - 12:00 PM
Title: "Meta-PINN: Meta learning for improved neural network wavefield solutions"
Authors: Shijun Cheng*, and Tariq Alkhalifah
Session ID / Title: SMT 3 / Theoretical Developments in Seismic Modeling and Wave Phenomena 3
Style: Oral
Time: 1:20 PM - 1:45 PM
Title: "A field application of ground roll suppression via a self-supervised deep learning scheme"
Authors: Sixiu Liu*, Claire Birnie, Andrey Bakulin , Ali Dawood, Ilya Silvestrov, and Tariq Alkhalifah
Session ID / Title: Noise Removal 1
Style: Poster
Time: 4:55 PM - 5:20 PM
Wednesday 30 August
Title: "Meta-processing: Meta-learning based initialization for enhancement multi-seismic processing with limited training data"
Authors: Shijun Cheng*, and Tariq Alkhalifah
Session ID / Title: SP P6 / Machine Learning Applications for Seismic Processing
Style: Poster
Time: 10:20 AM - 10:45 AM
Title: "A field data application of RockAVO: Data-driven, direct petrophysical inversion of pre-stack seismic data"
Authors: Miguel Corrales*, Hussein Hoteit, and Matteo Ravasi
Session ID / Title: AAS 1 / AVO Inversion
Style: Oral
Time: 1:20 PM - 1:45 PM
Title: "Joint microseismic event detection and location using a detection transformer: An application to Arkoma Basin field data"
Authors: Yuanyuan Yang*, Tariq Alkhalifah, and Claire Birnie
Session ID / Title: IPS 3 / Novel Methods
Style: Oral
Time: 2:10 PM - 2:35 PM
Title: "Probabilistic seismic interpolation with the implicit prior of a deep denoiser"
Authors: Matteo Ravasi*
Session ID / Title: MLDA 3 / Uncertainty Quantification
Style: Oral
Time: 2:35 PM - 3:00 PM
Title: "Comparing the representation power of transformers with U-Net: A case study on seismic first-break picking"
Authors: Randy Harsuko*, and Tariq Alkhalifah
Session ID / Title: SP 8 / Machine Learning Event Detection
Style: Oral
Time: 3:40 PM - 4:05 PM
Title: "Multi-realization seismic data processing with deep variational preconditioners"
Authors: Matteo Ravasi*
Session ID / Title: SP 8 / Machine Learning Event Detection
Style: Oral
Time: 4:30 PM - 4:55 PM
Thursday 31 August
Title: "Slopepinn: Physics informed neural network slope prediction and interpolation with positional encoding"
Authors: Francesco Brandolin*, Matteo Ravasi, and Tariq Alkhalifah
Session ID / Title: SP 10 / Seismic Data Interpolation and Regularization 2
Style: Oral
Time: 8:00 AM - 8:25 AM
Title: "Deep learning-based inverse Hessian for full-waveform inversion"
Authors: Mustafa Alfarhan*, Matteo Ravasi, and Tariq Alkhalifah
Session ID / Title: FWI 9 / Machine Learning 2
Style: Oral
Time: 1:45 PM - 2:10 PM
Title: "Frugal physics reliable uncertainty estimation for full-waveform inversion"
Authors: Muhammad Izzatullah, Matteo Ravasi, and Tariq Alkhalifah*
Session ID / Title: FWI 10 / Theory and Methods 2
Style: Oral
Time: 3:35 PM - 4:00 PM
The full agenda of the Technical Programme can be found
here.
