A006 Four dimensional inversion of dc resistivity monitoring data Abstract 1 Dc resistivity monitoring has been increasingly used in order to understand the changes of subsurface conditions in terms of conductivity. An approach commonly used is to construct the time-lapse images by independently inverting the measured data acquired at different times. This may result in the time-lapse images contaminated with inversion artifacts. In this paper I propose an algorithm to invert all data sets simultaneously from a long-term monitoring survey. Accordingly we can obtain all the subsurface models at different times by just one inversion process. As a measure of


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