波谱学杂志2018，Vol.35Issue(2)：226-233,8.DOI:10.11938/cjmr20172603
基于蒙特卡罗算法的低场核磁共振测量效率提高方法
High-Efficiency Low-Field Nuclear Magnetic Resonance Measurements with a Monte Carlo Simulation Algorithm
摘要
Abstract
Measurements of longitudinal relaxation time (T1), transverse relaxation time (T2), self-diffusion coefficient (D0), T2-T1and T2-D0are central in NMR-based oil logging. The SGSE sequence is commonly used to measure D0, in which the interval time between the 90° and 180° pulses (Td) is increased incrementally to probe into the diffusion behaviors of liquids. However, the starting point, step size and end point of Tdmust be properly set in order to get accurate measurement of T1and D0. Currently, tuning of such parameters is often done manually, and thus time-consuming and difficult to use. The final outcome also relies heavily on operator's experience. In this study, a large number of random simulations were carried out by a Monte Carlo algorithm. The algorithm predicted the parameters for next measurement based on the results from previous measurements and thus was capable of updating the parameter settings in real time for automatic measurements. The algorithm was validated for T1, D0measurements, and demonstrated reduced measurement threshold and shortened measurement time.关键词
低场核磁共振/算法/蒙特卡罗/T1/D0Key words
low-field NMR/algorithm/Monte Carlo/T1/D0分类
数理科学引用本文复制引用
邹越崎,郭盼,徐征..基于蒙特卡罗算法的低场核磁共振测量效率提高方法[J].波谱学杂志,2018,35(2):226-233,8.基金项目
国家自然科学基金资助项目(51677008,51377182,11647098,51707028). （51677008,51377182,11647098,51707028）
