Purnaprajna Mangsuli

Traditionally, decision-making in the oil and natural gas industry has heavily relied on domain experts. For example, the interpretation of seismic surveys demanded exhaustive analysis by experts to identify faults and estimate hydrocarbon reserves. Similarly, historical well documents have been invaluable for making critical decisions about future wells and understanding the factors leading to Non-Productive Time (NPT). Yet, the manual process of referencing these documents and extracting actionable insights is inherently time-consuming, laborious, and prone to human errors. In the era of recent advances in artificial intelligence, a new horizon has emerged, promising to accelerate decision-making in areas like seismic interpretation, information extraction from documents, etc. To unravel the transformative shift, the talk delves into how artificial intelligence is reshaping the decision-making landscape in the oil and gas sector. By automating complex analyses, AI offers a more efficient, accurate, and timely approach, paving the way for enhanced productivity and strategic decision-making in this dynamic industry.