Short Offset Transient Electromagnetic Method Multi-component Inversion Based on Deep Neural Network

Summary Short offset transient electromagnetic method (SOTEM) is a new electromagnetic detection method, which is suitable for mineral resources exploration. In order to optimize the data processing results, this paper introduces the CNN-BiLSTM network model for one-dimensional inversion. The response of the electric field component and the magnetic field component of the theoretical model is used as input, and the real resistivity is used as the training template for training. The observed data of the two fields can be quickly inverted by the trained network model calculation. It has been verified that the inversion method has excellent accuracy and layered structure characterization ability, good stability for low and high resistivity anomalies, and high computational efficiency.