In this work an algorithm designed to find optimum resistivity arrays is examined and tested for various synthetic data. Further, tests with real data are presented as well. The algorithm is based on existing model resolution matrix approaches for finding optimum arrays, but it differentiates since it studies the effect of using an initial model to calculate an optimum resistivity array. Results obtained with this approach are compared to those obtained from existing algorithms which operate for homogeneous ground and to the most commonly used traditional arrays. The optimum array type acquired by using this approach seems to represent the subsurface structure in the best manner, since it takes into account all existing information. The described approach has practical application mainly in time-lapse ERT surveys.


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