In order to optimize nuclear magnetic resonance (NMR) logging technology and accelerate the processing speed of NMR logging data, a class of non-negative constraint modified damping algorithm is proposed to solve the NMR T2 spectral inversion problem. Through mathematical modeling and theoretical deduction, it is proved that the algorithm can retain the effective information of T2 spectrum better, and reduce the influence of noise on the solution of inversion problem more effectively. Numerical examples show that the new algorithm has better and more stable inversion effect than the modified truncated singular value decomposition method and damping method, especially in the case of low signal-to-noise ratio, the new algorithm has more obvious advantages, and can further optimize the NMR logging technology.
关键词
核磁共振/阻尼算法/奇异值分解/T2谱反演/非负约束
Key words
nuclear magnetic resonance (NMR)/damping method/singular value decomposition/T2 spectrum inversion/non-negative constraint
万方数据