ML/AI for Seismic Processing - Data (Re)construction and Modelling
Tracks
Geophysics
Wednesday, June 12, 2024 |
2:30 PM - 5:30 PM |
Room 10 (Hall E) |
Speaker
Prof. Tariq Alkhalifah
Professor of Geophysics
KAUST
StorSeismic deep learning paradigm for seismic processing: Attention is all what a seismic dataset needs
2:30 PM - 2:50 PM
先生 Rongsen Du
Msc Student
Zhejiang University
Seismic data low frequency extrapolation by SCUNet-SSIM
2:50 PM - 3:10 PM
Mr Chuangji Meng
Xi’an Jiaotong University
Generative modeling of seismic data using score-based generative models
3:10 PM - 3:30 PM
Dr Mohammad Mahdi Abedi
BCAM
Ensemble deep learning for improved reconstruction of weak events, conflicting dips, and high frequencies
3:30 PM - 3:50 PM
Mr Mohammad Hasyim Taufik
PhD Student
King Abdullah University Of Science And Technology
Wavefield solutions using a physics-informed neural network as a function of velocity
4:10 PM - 4:30 PM
Dr Shijun Cheng
Postdoc
King Abdullah University Of Science And Technology
A self-supervised learning framework for multi-tasks seismic processing via meta-learning
4:30 PM - 4:50 PM
Dr Diego Rovetta
Science Specialist
Aramco Overseas Company BV
Surface-wave dispersion curve fully automatic picker in a transmission-based surface-consistent framework
4:50 PM - 5:10 PMChairperson
Mattia Speziali
Senior Geophysicist
SLB
Changchun Yin
Professor
Jilin University