Poster: ML & AI for Geological Characterization
Tracks
Geophysics
Geophysics
Geology
Reservoir Engineering & Integrated Subsurface
Energy Transition & Mining and Infrastructure
Dedicated Sessions
Data and Computer Science
| Thursday, June 13, 2024 |
| 1:30 PM - 2:30 PM |
| Posters Area (Hall E) |
Speaker
Mr Rafael Valladares de Almeida
Repsol Sinopec Brasil
A Novel Approach to Detect and Filter Artifacts from Acoustic Image Logs Using Computer Vision Techniques
Mr Abdullahi Jibrin
Kfupm
Image-based rock typing using machine learning
Dr Denise Portugal
Researcher
State University Of Campinas
Quantification of mineral grains and pores in thin sections using mathematical morphology
Dr Xiaoyu Wang
China University of Petroleum (Beijing)
Acoustic Log Generation via Physics-designed Neural Network
Mr Rahul Talreja
Slb
Effective Utilization of Drilling Parameters and Associated Challenges
Dr Wenhui Tan
Sinopec Geophysical research institue
A Machine Learning Method for Predicting Lacustrine Shale Lithofacies
Mr Arvind Kumar
Senior Reservoir Engineer
SLB
A Novel Python Based Machine Learning Approach to Predict Formation Pretest Types
Dr Yu Fang
China University Of Petroleum(Beijing)
Sandstone Reservoir Permeability Prediction Based on Multimodal Representation Learning
