Abstract

Log interpretation and petrophysical evaluation requires domain expertise and significant effort in integrating G&G data for converting raw measurement into valuable information. Estimation of pay zone, effective porosity and water saturation are few of the key output of any petrophysical study. Machine Learning (ML) and Artificial intelligence (AI) has been in use for quite some times now for data analysis, data predictions and provide a huge opportunity to complement human interpretation and save significant time and cost by handling large database. Exploration is a knowledge centric domain and with ever evolving technologies, especially new generation log data acquisition, interpretation techniques and sub-surface information, it is often required to revisit old wells. This many a times helps in identifying several missed pays or bypassed hydrocarbon.