Webinar: Traditional and machine learning techniques applied to oil-source correlation in the Norwegian Sea: Åre we able to end the Spekk-ulation?

Oil-source correlation traditionally focusses on integrating common isotopic and biomarker characteristics of rock extract and fluid samples in what can be regarded as a “bottom-up” approach. However, in data-rich areas we can begin to utilise these large databases by using a “top-down” approach, utilising advanced statistics and machine learning. Top-down modelling and machine learning are increasingly fashionable tools within relatively data-rich areas of exploration, helping to place information from traditional “bottom-up” modelling into a regional, big picture, spatial context.

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