A framework for employing a migration/demigration strategy to find an approximate inverse Hessian for full waveform inversion using deep learning. It presents extensive experimental evaluations of the proposed method, utilizing both synthetic datasets (Marmousi and Volve synthetic) and field data from Volve, to validate its effectiveness and accuracy.