Inversion of three-dimensional airborne transient electromagnetic excitation parameters under the restriction of data difference degree

In recent years, there has been increasing interest in the phenomenon of induced polarization (IP) in airborne time-domain electromagnetic (ATEM) data. How to effectively extract the polarization information of the medium from the electromagnetic data containing the IP effect is a challenging problem. Most of the current studies can only recover relatively accurate resistivity information, but the recovery effect of other IP parameters is poor. In order to better extract the IP parameters of underground media, a new constrained inversion method must be sought. Using the process of z-score normalization, we define the data variance degree. Due to the correlation between IP parameters, the data difference degree is added to the multi-parameter inversion as a constraint, and a new inversion framework including the data difference degree is formed. The inversion results of synthetic data show that this method can improve the inversion results, obtain more accurate information of dielectric IP parameters, and reduce the difficulty of geological interpretation in the later stage. In order to test the stability of this constrained inversion method, we add different levels of noise for testing and obtain good inversion results. In addition, this data difference degree constraint can also be more widely used in the inversion of different geophysical methods.