Abstract：Due to the low singal-to-noise ratio of log datafrom NMR tool,reducing the influece of noise ef-fectively is a key factor in transforming NMR loggrog data into T2 relaxation spectra.The paper introduced the SVD of solving eigenmatrix in solution of T2 relaxation spectra and the feasibility andthe method that cuts-off the non-zero singular value in SVD in order to increase the stability ofeigenmatrix.All these can ensure that the steadyrelaxation spectra can be obtained from lowsingnal-to-noise NMR log data.This method has agood result in practice.
王才志, 尚卫忠. 应用奇异值分解算法的核磁共振测井解谱方法[J]. 石油地球物理勘探, 2003, 38(1): 91-94.
Wang Caizhi, Shang Weizhong. Application of singular value decomposition(SVD) in solution of T2 relaxation spectra from nuclear magnetic resonance(NMR) log data. OGP, 2003, 38(1): 91-94.
