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Abstract

A method for evaluating measured electromagnetic (EM) data relating to a subsurface region, comprising the steps of: (a) specifying at least one model of the region in terms of fundamental parameters with uncertainty, using a fundamental inversion grid; (b) receiving the measured EM data and an estimated error; (c) translating the fundamental parameters of the model to meta parameters of the region and to a computational grid suitable for forward modelling and comparison to the measured EM data, using relationships with uncertainty; and (d) carrying out a Bayesian inversion using the measured data and estimated error to produce an output comprising fundamental parameters of the region on the fundamental inversion grid with uncertainty. The method allows physical measurements with error to be translated into fundamental parameters which can be used to assess business risk and uncertainty for making decisions, and also provides for parameters and models which can typically be directly estimated by a geoscientist on a coarse spatial grid to be used as an input, and validated using the measured data with error.

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