ML & AI for Seismic Inversion
Tracks
Geophysics
| Thursday, June 13, 2024 |
| 8:30 AM - 11:30 AM |
| Room 2 (Hall E) |
Speaker
Prof. Jianguo Yan
Professor on Geophysics
The College Of Geophysics, Chengdu University Of Technology
Seismic impedance optimizing inversion by combining deep learning inversion with model-driven inversion
8:30 AM - 8:50 AM
Mr Nick Luiken
Utrecht University
Plug-and-Play regularized 3D seismic inversion with 2D pre-trained denoisers
8:50 AM - 9:10 AM
Dr Jinyong Gui
Research Institute of Petroleum Exploration and Development-Northwest, PetroChina
Petrophysical properties prediction based on a deep learning scheme
9:10 AM - 9:30 AM
Mr Gabrio Rizzuti
Shearwater Geoservices
Multiscale uncertainty quantification for post-stack seismic inversion with wavelet flows
9:30 AM - 9:50 AM
Mr Chean Lin Lew
Geoscientist
PETRONAS
4D seismic inversion to changes in pressure and saturation using deep learning
10:10 AM - 10:30 AM
Mr Bruce Chalmers
Principal Geophysicist
Vår Energi
Net Pay Estimation using Quantitative Interpretation and Machine Learning
10:30 AM - 10:50 AM
Mr Qiang Ge
PetroChina
Physics-constrained AVO Invserion Based on Deep Learning and Seismic Coherence: A case study from Southwest China
10:50 AM - 11:10 AM
Mr Said Busaidi
QI Geophysists
PDO - Petroleum Development Oman
Benchmark of Conventional Constrained Sparse Spike Inversion with Machine Learning Seismic Inversion: A Case Study from Oman
11:10 AM - 11:30 AMChairperson
Haibin Di
Senior Data Sciensist
SLB
Konstantin Osypov
Team Lead
Halliburton
