A New Method for NMR Inversion Constrained by Generalized Prior Information

摘要: Summary A new method for NMR inversion constrained by generalized prior information was proposed. Power function transform and exponential power were used to directly extract from echo data. Then the as constraint conditions construct objective which we got results. The numerical simulation results showed that improved accuracy T2 T2-D at low SNR level compared with traditional regularization method.