Patent ID: 11892588
Assignee: INSTITUTE OF GEOLOGY AND GEOPHYSICS, CHINESE ACADEMY OF SCIENCES
Field: Measurement (Instruments)
Classification: CPC G  Y | IPC G

Claim 6:
7. The system for transient electromagnetic-induced polarization field separation and multi-parameter information extraction according to claim 5, wherein the parameter inversion module comprises a second convolutional neural network unit and a third convolutional neural network unit;
a second convolutional neural network is arranged in the second convolutional neural network unit, and the second convolutional neural network unit is used for obtaining the predicted layer thickness and the predicted resistivity based on the pure electromagnetic response field and the second convolutional neural network; and
a third convolutional neural network is arranged in the third convolutional neural network unit, and the third convolutional neural network unit is used for obtaining the predicted layer thickness and the predicted polarizability based on the pure induced polarization response field and the third convolutional neural network.