Over the past years, the leaning of the research over the Induced Polarization method has been focused on the Time-Domain Induced Polarization and the calculation of the spectral content that is embedded into the measurements. To catch up with this trend we developed a tool for modeling real 3D spectral Induced Polarization data, based on a model (e.g. the Cole-Cole model) given the subsurface distribution of the electrical properties and the model parameters. To evaluate the results the central line of each model was extracted and inverted by introducing smoothness constrain not only in space domain but also in channel domain by inverting the available channels simultaneously. The inversion results can be used to form the decay curves for each model cell. An optimization tool for fitting the model that best describes the curve of each cell was developed, to calculate the spectral information using the Particle Swarm Optimization algorithm. The results with synthetic, experimental and real data suggest that the presented approach is efficient and relatively robust given the complexity of the SIP data.


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