A High-resolution Imaging and Interpretation Method for Electrical Resistivity Tomography Based on Reflection Coefficient Analysis

Electrical resistivity tomography (ERT) is a widely used method in geophysical prospecting. In practical applications, the smoothness-constrained least squares method is usually used to invert the apparent data of ERT. Although the resistivity distribution in the detection area can be obtained according to the inversion result, it is difficult to resolve the specific boundary of anomalies directly, which will affect the accuracy of the interpretation results of the detection data. This paper proposes a high-resolution imaging and interpretation method for ERT based on reflection coefficient analysis. This method can amplify the data features at the boundary of anomalies by performing the secondary processing and analysis on inversion results, thereby identifying the specific boundary of anomalies. This research improves the accuracy of interpretation results and realizes high-resolution imaging. Compared with the multi-scale inversion and other methods that enhance the resolution by optimizing the inversion algorithm, this method can more intuitively determine the specific boundary of anomalies in the inversion cross-section.