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井下核磁共振激励的自适应控制。

Adaptive control for downhole nuclear magnetic resonance excitation.

机构信息

College of Geophysics, China University of Petroleum, Beijing, 102249, China.

College of Carbon Neutral Energy, China University of Petroleum, Beijing, 102249, China.

出版信息

Sci Rep. 2023 Mar 14;13(1):4201. doi: 10.1038/s41598-023-31031-x.

Abstract

Nuclear magnetic resonance (NMR) measurements are performed with the pulse sequence and acquisition parameters set by the operator, which cannot be adjusted in real time according to sample characteristics. In one acquisition cycle, usually thousands of high-power pulses are transmitted and thousands of echo points are acquired. The power consumption cause the RF amplifier to overheat, and large amounts of acquired data may be invalid. Therefore, the optimization of excitation and acquisition processes is necessary to improve measurement efficiency. We explore a scheme for the real-time measurement of the samples by adaptively regulating the pulse sequence, which adapts the variable TE pulse sequence as the reconnaissance mode. The appropriate pulse sequence and reasonable parameters (NE, TE) can be selected according to the relaxation characteristics of the samples.This adaptive control strategy has great significance in guiding both dynamic and static measurements, and it is especially suitable for occasions where low magnetic field gradients and diffusion terms can be ignored. We also design a test circuit for adaptive control, which has the function of automatic parameter adjustment. By adjusting parameters such as the number of refocusing pulses, echo spacing, etc., the effective measurement of the samples can be achieved in practice.

摘要

核磁共振(NMR)测量是由操作人员设置脉冲序列和采集参数进行的,无法根据样品特性实时调整。在一个采集周期中,通常会发送数千个高功率脉冲并采集数千个回波点。功耗会导致 RF 放大器过热,并且可能会使大量采集的数据无效。因此,需要优化激发和采集过程,以提高测量效率。我们探索了一种通过自适应调节脉冲序列实时测量样品的方案,该方案将可变 TE 脉冲序列作为侦察模式。可以根据样品的弛豫特性选择合适的脉冲序列和合理的参数(NE、TE)。这种自适应控制策略在指导动态和静态测量方面具有重要意义,尤其适用于可以忽略低磁场梯度和扩散项的场合。我们还设计了一个用于自适应控制的测试电路,该电路具有自动参数调整功能。通过调整重聚焦脉冲的数量、回波间隔等参数,可以在实际中实现对样品的有效测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4171/10014934/89c40ef55ed0/41598_2023_31031_Fig1_HTML.jpg

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