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Surface Nuclear Magnetic Resonance Imaging in Layered Electrically Conductive Media
WENG Aihua, GAO Lijuan
CHINESE JOURNAL OF COMPUTATIONAL PHYSICS
2008, 25 (2):
203-207.
A general linearization iteration (GL1) inversion method is adapted to invert the NMR of a layered electrical conductive media. In the case of electrical conductive earth, Jacobian matrix can be estimated analytically. The flattest and smoothest model constraints are imposed to the optimization problem. A true model is inverted from field data with GLI inversion. GLI inversion method of surface NMR converges fast and stably, and is applicable to layered electrical conductive earth.
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