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