This presentation and demonstration will focus on a machine learning workflow in the upstream oil and gas domain to predict formation tops by applying artificial intelligence and machine learning techniques to learn the well logs signatures. This deep learning model provides high quality predictions to aid the geologists in picking lithology markers consistently and in an accelerated fashion thus boosting their operational efficiency.
Speaker Bio
Sunil Garg
Sunil Garg is the founder and CEO of dataVediK, an early stage startup specializing in Consulting, Big Data, Data Analytics, Machine Learning and end-to-end Data Ecosystems for Oil & Gas industry. Prior to this, he spent 20+ years establishing and growing Data Management, Big Data and Analytics businesses for Schlumberger. Sunil is a sought-after speaker at various industry conferences and also conducts Big Data, Machine Learning and Blockchain trainings for the Industry, the Government and the Academia.