
Machine Learning for Lithofacies Prediction – A Fast, High Resolution, and Economic Alternative toSeismic Inversion
Wahyudin Suwarlan
Principle Reservoir Geophysicist
2Pi Energy
SUBJECT: “Machine Learning for Lithofacies Prediction – A Fast, High Resolution, and Economic Alternative to Seismic Inversion”
Workshop Overview
This workshop will provide an opportunity to immerse in discussions and stay updated on the advances in Quantitative Interpretation (QI) for the O&G as well as the wider energy industry. The workshop aims to become the hub for sharing recent experiences on applications of new and emerging QI technologies such as physics-guided machine learning for reservoir characterization; advanced geostatistical inversion to generate more reliable and predictive subsurface models; integration of rock physics in QI workflow to better understand the reservoir challenges and improve QI properties predictions, hence maximizing exploration and development drilling success; and not to forget, innovative applications of basic but useful QI tools such as AVO attributes and EEI.