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Summary
Modem data acquisition technology in airbome electromagnetics (AEM) produces huge data sets which cover areas of considerable extend. Both the large size of the domain of interest, in generai a three-dimensional volume, and the large number of transmitters and receivers pose challenges to any type of modelling or inversion software. Solution of the inverse problem requires repeated solves of the forward problem. The time to solve one forward problem in turn scales linearly with the number of transmitters. In this paper we examine stochastic optimization techniques for the solution of the inverse problem which essentially allow us to work with small subsets of transmitters/receivers and, thus, reduce the computational load significantly.