Coffee Break (Mon PM) & Poster Session
Tracks
Day 1
| Monday, October 14, 2024 |
| 2:50 PM - 3:50 PM |
Speaker
Prof. Dr Mauro Roisenberg
Full Professor
Federal University Of Santa Catarina
Enhancing Seismic Inversion: Uncertainty Estimation via Bagged Artificial Neural Model
Dr Wenfeng Du
Professor
China University of Mining & Technology (Beijing)
Seismic Inversion for Predicting Coal Bearing Strata Parameters Based on a Two-Stage Dual Network
Alanood Nasser Al-Otaibi
Kuwait Oil Company
Carbonate reservoir porosity prediction for Minagish formation of Kuwait Bay – A Case study
Mr Azer Mustaqeem
President
Petro-Explorers Inc.
Pseudo-well Modelling and Trace Matching Stochastic Inversion for Unconventional Plays - Western Canada Examples
Mr Abdul Kholiq
Geophysicist
Slb
Minimizing reservoir distribution uncertainty with seismic inversion and probabilistic lithology classification in Sarawak Basin's Y field
Mr Corey Morgan
Director Of Reservoir Services
Land Seismic Noise Specialists
Data conditioning starts before imaging: Better rock properties inversion of onshore seismic data.
Mr Andrea Murineddu
Seismic Reservoir Characterization Lead
SLB
Bridging Resolution Gap through Constrained Stochastic Inversion - Case Studies from the Middle East
