Using the Near-surface Coherent Noise to Constrain 1D Resistivity Inversion

Resistivity data collected in towns or industrial settings suffers much in data quality because of the noise introduced by the infrastructural anthropic elements. The influence of this noise is heavily felt on the inversion process, where the obtained models can be far from reality and from the other in situ information available. Based on the layer equivalence principle, this paper proposes using the coherent noise in the apparent resistivity to constrain the 1D inversion process. Data from three different settings has been approached. The method was successfully applied and verified using in situ information such as geotechnical or hand dug shallow wells.