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低场核磁共振流体分子结构在线探测技术
引用本文:邓峰,肖立志,陶冶,刘新云,耿东士,王梦颖.低场核磁共振流体分子结构在线探测技术[J].波谱学杂志,2017,34(2):214-222.
作者姓名:邓峰  肖立志  陶冶  刘新云  耿东士  王梦颖
作者单位:1. 中国石油勘探开发研究院, 北京 100083; 2. 油气资源与探测国家重点实验室, 中国石油大学(北京), 北京 102249
基金项目:National Science and Technology Major Project of the Ministry of Science and Technology of China (2016ZX05031), NationalScientific Instrument Development Project (21427812).
摘    要:流体分子结构的探测是了解其物理、化学性质的基础.目前主要采用的实验室内分子结构探测技术包括光谱法和波谱法等,但这类测量方法具有测量效率低、需添加化学试剂、实验可重复性差等局限.基于低场核磁共振(NMR)技术进行流体组分的探测技术已十分成熟.该文提出进一步将该技术应用于烃类化合物流体分子结构的检测方法,并研发一种快速二维核磁共振驰豫测量脉冲序列和一套低场核磁共振流体在线检测系统.最终实现了一种快速、无损、清洁、有效的流体组分探测技术.

关 键 词:低场核磁共振  在线分析  脉冲序列  核磁共振仪器  分子结构  
收稿时间:2016-08-05

Low-Field and On-Line NMR Detection for Fluid Molecular Structure
DENG Feng,XIAO Li-zhi,TAO Ye,LIU Xin-yun,GENG Dong-shi,WANG Meng-ying.Low-Field and On-Line NMR Detection for Fluid Molecular Structure[J].Chinese Journal of Magnetic Resonance,2017,34(2):214-222.
Authors:DENG Feng  XIAO Li-zhi  TAO Ye  LIU Xin-yun  GENG Dong-shi  WANG Meng-ying
Institution:1. The Research Institute of Petroleum Exploration and Development, China National Petroleum Corporation(CNPC), Beijing 100083, China; 2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China
Abstract:The molecular structure of fluid influences its physical and chemical properties significantly. Current laboratory analysis methods, such as spectroscopy and spectral method, have the following disadvantages: low measuring efficiency, requirement of chemical reagents, and poor reproducibility. Low-field NMR fluid component analysis is a mature technology. In this study, we developed a set of low-field and on-line NMR fluid detection system and a rapid two-dimensional NMR relaxation measurement pulse sequence, which can be used for rapid, non-destructive, clean, efficient fluid component detection. The performance of the system and the pulse sequence was evaluated experimentally.
Keywords:low-field NMR  on-line analysis  NMR device  pulse sequence  molecular structure
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