Traditional and Machine Learning Techniques Applied to Oil Source Correlation in the Norwegian Sea

Join a webinar exploring both conventional and cutting-edge machine learning approaches for correlating oil sources in the Norwegian Sea, presented by David Gardiner from IGI. Delve into the petroleum systems analysis as the discussion examines various techniques for determining oil-source relationships in this important hydrocarbon region. Learn how modern machine learning methods complement traditional correlation approaches, offering new insights into source rock identification and characterization. Gain valuable understanding of the latest developments in oil-source correlation methodologies and their practical applications in Norwegian Sea petroleum exploration.