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A New Method for NMR Inversion Constrained by Generalized Prior InformationNormal access

Authors: G. Jin, R. Xie, J. Guo, M. Liu, L. Gao and M. Gu
Event name: 80th EAGE Conference and Exhibition 2018
Session: Poster: Petrophysics A
Publication date: 11 June 2018
DOI: 10.3997/2214-4609.201800957
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 735.76Kb )
Price: € 20

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


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