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Automatic Optimization of Pulse Sequences Based on a Closed-Loop Control Strategy

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Abstract

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.

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Data Availability

The data supporting the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

This work was supported by the Beijing Limecho Technology Co., Ltd. We would like to thank Mr. Liu for his valuable help in carrying out many of the experiments.

Funding

This work was supported by the National Natural Science Foundation of China (Grant No.42204106 and 51974337).

Author information

Authors and Affiliations

  1. School of Computer Science, Xi’an Shiyou University, Xi’an, China

    Guanghui Shi

  2. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China

    Lizhi Xiao & Guangzhi Liao

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

    Sihui Luo

  4. China Petroleum Logging Co., Ltd., Xi’an, China

    Xueli Hou, Jian Zhong & Jihong Liu

  5. Beijing Limecho Technology Co., Ltd., Beijing, China

    Huaxue Liu

Authors
  1. Guanghui Shi
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  2. Lizhi Xiao
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  3. Guangzhi Liao
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  4. Sihui Luo
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  5. Xueli Hou
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  6. Huaxue Liu
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  7. Jian Zhong
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Contributions

LZX, GZL, and SHL conceived the idea and made a number of recommendations. GHS, JZ, and HXL proposed design plans. GHS and XLH conducted the experiments. Both authors contributed to writing and revising the manuscript and contributed to analyzing and interpreting the results.

Corresponding author

Correspondence to Guanghui Shi.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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This research did not contain any studies involving animal or human participants, nor did it take place in any private or protected areas.

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Shi, G., Xiao, L., Liao, G. et al. Automatic Optimization of Pulse Sequences Based on a Closed-Loop Control Strategy. Appl Magn Reson 55, 429–441 (2024). https://doi.org/10.1007/s00723-023-01633-9

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  • DOI: https://doi.org/10.1007/s00723-023-01633-9

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