A compensation model of aeromagnetic gradient tensor data based on low-temperature superconducting

HOU Rui-Dong; GUO Zi-Qi; QIAO Yan-Chao; LIU Jian-Ying

doi:10.11720/wtyht.2023.2553

2023 Vol. 47, No. 1

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Article navigation > Geophysical and Geochemical Exploration > 2023 > 47(1): 156-161

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HOU Rui-Dong, GUO Zi-Qi, QIAO Yan-Chao, LIU Jian-Ying. 2023. A compensation model of aeromagnetic gradient tensor data based on low-temperature superconducting. Geophysical and Geochemical Exploration, 47(1): 156-161. doi: 10.11720/wtyht.2023.2553

Citation:

HOU Rui-Dong, GUO Zi-Qi, QIAO Yan-Chao, LIU Jian-Ying. 2023. A compensation model of aeromagnetic gradient tensor data based on low-temperature superconducting. Geophysical and Geochemical Exploration, 47(1): 156-161. doi: 10.11720/wtyht.2023.2553

A compensation model of aeromagnetic gradient tensor data based on low-temperature superconducting

1. College of Resources and Environment University of Chinese Academy of Sciences, Beijing 100049, China；
2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China；
3. State Key Laboratory of Remote Sensing Science, Beijing 100101, China

Received Date: 14 October 2021

Revised Date: 20 February 2023

Publish Date: 24 February 2023

Abstract

Abstract

In the compensation of the aeromagnetic gradient tensor data based on superconducting, the simulation results of the compensation model often differ from the compensation results of the survey data. To establish a model that is valid for measured data, this study analyzed the sources of errors, proposed a comprehensive compensation model by combining magnetic interference, installation errors, and the degree of unbalance, and determined the method to solve the model. Moreover, this study compensated the measured data using the comprehensive compensation model proposed and verified the compensation effects. The experimental results show that the comprehensive compensation model is applicable to the compensation of measured data since it can not only effectively reduce the influence of external interference but also can improve the quality of magnetic gradient tensor data and achieve significant compensation effects.
- superconducting quantum interference device /
- aeromagnetic gradient /
- tensor survey /
- magnetic compensation /
- compensation model

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References

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