摘要：Generally, the pulse sequence parameters and acquisition parameters of nuclear magnetic resonance (NMR) logging tools are determined before logging and kept unchanged during logging. Because the detection area changes constantly during logging, the preset parameters are often not the best for different detection objectives, the energy consumption and sampling resolution will be reduced. To solve this problem, we propose a closed-loop control scheme for parameter optimization, which achieves the dynamic regulation of parameters according to the relaxation characteristics of the samples. The closed-loop control system has been implemented in a laboratory core analyzer to prove the effectiveness of the variable TE sequence as a reconnaissance sequence. When the sample changes, the control system can guide the control circuit to switch to the Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence with appropriate parameters in a timely manner. Compared with conventional parameter setting methods, this scheme can better avoid insufficient attenuation of the echo train or excessive data collection caused by the improper setting of pulse train length while reducing energy consumption during measurements.

ISSN号：0937-9347

卷、期、页：卷55期4页429-441

发表日期：2024-04-01

期刊分区（SCI为中科院分区）：四区

收录情况：SCI（科学引文索引印刷版）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：Applied Magnetic Resonance

参与作者：师光辉,侯学理,刘化学,钟剑,刘继红

第一作者：肖立志,廖广志,罗嗣慧

论文类型：期刊论文

论文概要：师光辉,肖立志,廖广志,罗嗣慧,侯学理,刘化学,钟剑,刘继红，Automatic Optimization of Pulse Sequences Based on a Closed-Loop Control Strategy，Applied Magnetic Resonance，2024，卷55期4页429-441

论文题目：Automatic Optimization of Pulse Sequences Based on a Closed-Loop Control Strategy