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Manual interpretation of data collected from drill holes for mineral or oiland gas exploration is time-consuming and subjective. Identification ofgeological boundaries and distinctive rock physical property domains is thefirst step of interpretation. We introduce a multivariate technique, that canidentify geological boundaries from petrophysical or geochemical data. Themethod is based on time-series techniques that have been adapted to beapplicable for detecting transitions in geological spatial data. This methodallows for the use of multiple variables in detecting different lithologicallayers. Additionally, it reconstructs the phase space of a single drill-hole orwell to be applicable for further investigations across other holes or wells.The computationally cheap method shows efficiency and accuracy in detectingboundaries between lithological layers, which we demonstrate using examplesfrom mineral exploration boreholes and an offshore gas exploration well.

Fast Automatic Detection of Geological Boundaries from Multivariate Log Data Using Recurrence