Integrated TOC Prediction and Source Rock Characterization
By: Dr. Daphne Lai, Dr. Owais Ahmed Malik
INTEGRATED TOC PREDICTION AND SOURCE ROCK CHARACTERIZATION USING MACHINE LEARNING, WELL LOGS AND GEOCHEMICAL ANALYSIS
- Aims & Objectives: To predict the quantity of total organic carbon (TOC) using mathematical well log models and machine learning methods (e.g. Artificial neural network, Random Forest) and compare their performance
- Duration – March 2018 – May 2019
- Collaborator – Geo-Sciences, FOS, UBD
- Output – Machine Learning Model, SCOPUS indexed publication