The University of Sydney

Technological Resources Pty. Limited

Katherine Lee Silversides

Derek Wyman

Arman Melkumyan

Richard J Murphy

Peter James Hatherly

Described herein is a method and system for classifying rock types in a rock body. The method comprises the steps of obtaining spectral data from a spectral measurement () of a surface region of the rock body and then determining a first spectral ratio between two wavelength bands of the spectral data. From the first spectral ratio it can be assessed () whether the measurement is a high-angle measurement, and if the measurement is not a high-angle measurement then a further spectral ratio between two further wavelength bands of the spectral data is determined (). The further spectral ratio is then compared () with a corresponding diagnostic criterion to assess whether the surface region comprises a first rock type associated with the further spectral ratio and diagnostic criterion.

Determination of rock types by spectral scanning

Described herein is a computer implemented method for generating a probabilistic model usable to identify instances of a target feature in geophysical data sets stored on a memory device. The computer implemented method using a computer processing unit to generate a probabilistic model from a training library for use in identifying instances of the target feature in the geophysical data sets, applying, using the computer processing unit, the probabilistic model to one or more of the geophysical data sets to generate a plurality of results, processing, using the computer processing unit, the set of results according to an acceptability criteria in order to identify a plurality of candidate results, receiving a selection of one or more of the candidate results and for the or each selected candidate result displaying on a display the result and its associated geophysical data set to assist a user in making an assessment as to whether or not the probabilistic model is an acceptable model for the processing of the geophysical data sets, receiving from a user an assessment as to whether or not the probabilistic model is an acceptable model; and if the assessment received indicates the probabilistic model is an acceptable model for processing the geophysical data, outputting the probabilistic model and/or the training library.

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Glenmore Park, Australia

Katherine Lee Silversides