Presentations in SEG - Denver 2021
26 September, 2021
In Denver '21 International Meeting for Applied Geoscience & Energy (SEG and AAPG) the members of SWAG will be sharing the progress of their research.
Monday 27 September
Title: "Reservoir Characterization and Property Estimation"
Authors: A. Alali* and T. Alkhalifah
Session: Reservoir Characterization and Property Estimation
Session ID: MLDA 1
Session Style: Oral_In Person Presentation
Time: 10:20 AM to 10:45 AM
Title: "A modified physics-informed neural network with positional encoding"
Authors: Xinquan Huang* and T. Alkhalifah
Session: Practical Applications and new Innovations 1
Session ID: SM P1
Session Style: Poster_In Person Presentation
Time: 1:20 PM to 1:45 PM
Title: "Dual-band generative learning for low-frequency extrapolation in seismic land data"
Authors: O. Ovcharenko*, V. Kazei, D. Peter, I. Silvestrov, A. Bakulin and T. Alkhalifah
Session: Processing 1
Session ID: MLDA 2
Session Style: Oral_In Person Presentation
Time: 2:35 PM to 3:00 PM
Title: "Surface-related multiple elimination through orthogonal encoding in the latent space of convolutional autoencoder"
Authors: O. Ovcharenko*, A. Baumstein and E. Neumann
Session: Processing 1
Session ID: MLDA 2
Session Style: Oral_In Person Presentation
Time: 4:30 PM to 4:55 PM
Tuesday 28 September
Title: "Target-oriented time-lapse elastic full-waveform inversion assisted by deep learning with prior information"
Authors: Y. Li*(1), A. Bakulin(2), P. Nivlet(2), R. Smith(2) and T. Alkhalifah(1)
1: KAUST; 2: EXPEC ARC, Saudi Aramco
Session: Improvements in Time Lapse Analysis
Session ID: TL P1
Session Style: Poster_In Person Presentation
Time: 10:45 AM to 11:10 AM
Title: "Self-supervised learning for random noise suppression in seismic data"
Authors: C. Birnie*, M. Ravasi and T. Alkhalifah
Session: Machine-Learning Applications for Noise and Multiple Attenuation
Session ID: SPMNR 3
Session Style: Oral_In Person Presentation
Time: 2:10 PM to 2:35 PM
Wednesday 29 September
Title: "High-dimensional wavefield solutions based on neural network functions"
Authors: T. Alkhalifah*, C. Song and X. Huang
Session: Theory
Session ID: SM 2
Session Style: Oral_In Person Presentation
Time: 10:20 AM to 10:45 AM