Presentations in SEG 2022
29 August, 2022
In Houston '22 International Meeting for Applied Geoscience & Energy (SEG and AAPG) the members of SWAG will be sharing the progress of their research.
Monday 29 August
Title: "The application of a new machine learning paradigm based on pre-training and fine-tuning, StorSeismic, on field seismic data"
Authors: R. Harsuko*, and T. Alkhalifah
Session: Novel Applications 1
Session ID: MLDA 1
Session Style: Oral Presentation
Time: 8:25 AM to 8:50 AM
Title: "Pwd-pinn: slope-assisted seismic interpolation with physics-informed neural networks"
Authors: F. Brandolin*, M. Ravasi, and T. Alkhalifah
Session: Application of Data Merge and Machine Learning
Session ID: SPET P1
Session Style: Poster Presentation
Time: 10:20 AM to 10:45 AM
Title: "Seismic dataset-specific machine learning framework based on pre-training and fine-tuning"
Authors: T. Alkhalifah*, and R. Harsuko
Session: Latest Advancement in Machine Learning for Geoscience - Part 2
Session ID: SS 3
Session Style: Oral Presentation
Time: 11:35 AM to 12:00 PM
Title: "Integrating U-net with full-waveform inversion for an efficient salt body construction"
Authors: A. Alali*, and T. Alkhalifah
Session: Methods 1
Session ID: FWI P1
Session Style: Poster Presentation
Time: 1:45 PM to 2:10 PM
Title: "Boosting self-supervised blind-spot networks via transfer learning"
Authors: C. Birnie, and T. Alkhalifah*
Session: Deblending and Denoising
Session ID: SPMNR P2
Session Style: Poster Presentation
Time: 1:45 PM to 2:10 PM
Tuesday 30 August
Title: "Deep Earth: leveraging neural networks for seismic exploration objectives"
Authors: T. Alkhalifah*, C. Birnie, R. Harsuko, H. Wang, and O. Ovcharenko
Session: Digital Transformation in Seismic Imaging: Insight from the Middle East
Session ID: SGS 2
Session Style: Oral Presentation
Time: 10:45 AM to 11:10 AM
Wednesday 31 August
Title: "Source location using physics-informed neural networks with hard constraints"
Authors: X. Huang*, and T. Alkhalifah
Session: Inversion and Property Estimation 1
Session ID: MLDA 9
Session Style: Oral Presentation
Time: 8:00 AM to 8:25 AM
Title: "Aiding self-supervised coherent noise suppression by the introduction of signal segmentation using blind-spot networks"
Authors: S. Liu*, C. Birnie, T. Alkhalifah, and A. Bakulin
Session: Denoising
Session ID: SPMNR 4
Session Style: Oral Presentation
Time: 2:10 PM to 2:35 PM
More on the IMAGE '22 event here.