GNGTS 2023 - Atti del 41° Convegno Nazionale

Session 3.3 ______ ___ GNGTS 2023 without the need of an inversion process. The proposed method seems to have potential for very fast interpretation of EM data where one local model is known, and many measurements are available over an area with smooth model parameter changes or for real time monitoring of time lapse measurements. Further research is needed to determine the actual limits of the proposed rescaling process, as a first step, the method seems promising especially for identifying resistivity variations. Figure 1: Rescaled resistivity model (dashed line) obtained with the proposed method assuming the true model (solid line) is known. The rescaled model is obtained using the apparent resistivity values that have been computed using the true model. Figure 2: Rescaled resistivity model for a nearby zone in which the resistivity of the target layer is 50\% higher compared to the resistivity of the target layer found in the reference site (Figure 1). The polynomial used to retrieve the electrical model was the one obtained for Figure 1.