The application discloses a method and
system for predicting the occurrence depth of an ore body of a weathered crust type
rare earth deposit, and relates to the technical field of
geological exploration. The method comprises the following steps: performing on-
site testing on the weathered crust by using a high-density electrical method; calculating and inverting the testing results to obtain
apparent resistivity data of the weathered crust at different depths; correcting the
distortion values of the
apparent resistivity data with the
terrain fluctuation according to the
terrain of the weathered crust, obtaining the
apparent resistivity data of the weathered crust at different depths after the
terrain correction by using a
ratio method, and further obtaining a first derivative curve of the apparent resistivity changing with the depth, and determining the occurrence depth of the
rare earth ore body in combination with a
logistic regression model parameter. The application uses the variation law of the apparent resistivity of the weathered crust at different depths to find out the
groundwater structure of the weathered crust, further uses the
logistic regression model parameter to determine the position of the ore body of the weathered crust type
rare earth deposit, so as to accurately predict the occurrence depth of the rich ore layer of the weathered crust type rare earth deposit, and efficiently and accurately explore the rare earth ore body in the weathered crust.