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物探与化探  2022, Vol. 46 Issue (1): 141-149    DOI: 10.11720/wtyht.2022.1158
  方法研究·信息处理·仪器研制 本期目录 | 过刊浏览 | 高级检索 |
基于模拟退火法的磁共振测深多源谐波噪声压制方法
陈亮1(), 付立恒1, 蔡冻1, 李凡2, 李振宇2, 鲁恺2
1.中国电建集团 江西省电力设计院有限公司,江西 南昌 330096
2.中国地质大学(武汉) 地球物理与空间信息学院,湖北 武汉 430074
Suppression method of multi-source harmonic noise in magnetic resonance sounding based on simulated annealing method
CHEN Liang1(), FU Li-Heng1, CAI Dong1, LI Fan2, LI Zhen-Yu2, LU Kai2
1. POWERCHINA Jiangxi Electric Power Engineering Co., Ltd., Nanchang 330096, China
2. Institute of Geophysics and Geomatics, China University of Geosciences (Wuhan), Wuhan 430074, China
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摘要 

磁共振测深找水方法在高电磁噪声环境下应用时,往往会因为电磁噪声的干扰导致实测数据信噪比降低,反演结果难以准确地确定实际地下水体的分布状况,降低方法的应用效果。针对磁共振测深找水方法在实际野外数据采集工作中常面临的多源谐波噪声干扰问题,在模型去噪的基础上推导出网格搜索同步删除法,进一步提出了效率更高的模拟退火同步删除法。仿真结果表明,2种方法均能有效压制多源谐波噪声,而模拟退火同步删除法能够更快速地搜索谐波基频值,相较网格搜索同步删除法在双基频谐波情况下工作效率提高2.35倍,大大降低了去噪流程的时间成本,且对多源谐波噪声也能取得较好的去噪效果。将该去噪算法应用于实例中,反演结果和钻孔资料的对比表明,模拟退火同步删除法可以有效压制磁共振测深方法实测数据中的多源谐波噪声,显著提高磁共振测深方法的应用效果。

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陈亮
付立恒
蔡冻
李凡
李振宇
鲁恺
关键词 模拟退火法压制噪声磁共振测深多源谐波    
Abstract

When the magnetic resonance sounding (MRS) method is applied in an environment with high electromagnetic noise, the signal-to-noise ratio of the measured data is often reduced due to the interference of electromagnetic noise. As a result, it is difficult to accurately determine the aquifer distribution using the inversion results, thus reducing the application effects of the method. In this paper, aiming at the common problem of multi-source harmonic noise interference in the field data acquisition using the MRS method, this paper derives the grid search simultaneous removal method based on the model denoising and further proposes the more efficient simulated annealing simultaneous removal method. The simulation results show that both methods can effectively suppress multi-source harmonic noise. Compared with the grid search simultaneous removal method, the efficiency of the simulated annealing simultaneous removal method is improved by 2.35 times in the case of double fundamental frequency harmonics, which greatly reduces the time cost of the denoising process. Meanwhile, the simulated annealing simultaneous removal method allows for great denoising effects of multi-source harmonic noise. Finally, the proposed denoising algorithm was applied to a field example. The comparison of the inversion results and borehole data shows that the simulated annealing simultaneous removal method can effectively suppress the multi-source harmonic noise in the measured data obtained using the MRS method and can significantly improve the application effects of the method.

Key wordssimulated annealing    magnetic resonance sounding    multi-source harmonic    denoising
收稿日期: 2021-03-23      修回日期: 2021-09-01      出版日期: 2022-02-20
ZTFLH:  P631  
基金资助:国家重点基础研究发展计划(973计划)项目(2011CB710606)
作者简介: 陈亮(1994-),男,助理工程师,硕士,主要从事电磁法勘探数据处理及应用研究工作。Email: chenliang1994@cug.edu.cn
引用本文:   
陈亮, 付立恒, 蔡冻, 李凡, 李振宇, 鲁恺. 基于模拟退火法的磁共振测深多源谐波噪声压制方法[J]. 物探与化探, 2022, 46(1): 141-149.
CHEN Liang, FU Li-Heng, CAI Dong, LI Fan, LI Zhen-Yu, LU Kai. Suppression method of multi-source harmonic noise in magnetic resonance sounding based on simulated annealing method. Geophysical and Geochemical Exploration, 2022, 46(1): 141-149.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2022.1158      或      https://www.wutanyuhuatan.com/CN/Y2022/V46/I1/141
Fig.1  MRS方法激发/接收NMR信号时序图
Fig.2  双基频的谐波噪声频谱特征示意
Fig.3  频率空间谐波基频网格搜索
Fig.4  网格搜索同步删除法处理双基频谐波时域
Fig.5  模拟退火同步删除法的基频搜索路径
迭代次数 RMSE/nV E0/nV T 2 */ms t/s
10 67.16±22.96 177.12±4.01 1038.44±522.84 3.19±0.29
30 37.89±23.20 184.84±8.65 489.32±175.95 8.89±0.68
50 26.72±21.20 186.83±8.86 465.99±78.27 13.76±0.74
75 22.42±5.56 188.93±3.68 366.05±28.97 20.05±0.86
100 15.69±3.77 193.06±2.04 334.47±13.16 25.68±0.88
150 14.60±3.71 193.64±2.25 330.44±11.83 38.45±1.78
200 13.14±3.54 194.33±1.71 325.34±11.36 50.40±1.89
500 11.46±2.61 195.10±1.75 320.59±7.54 123.76±4.18
Table 1  不同迭代次数的模拟退火同步删除法去噪效果
Fig.6  模拟退火同步删除法压制多源谐波噪声
Fig.7  模拟退火同步删除法在实测数据处理中的效果
Fig.8  去噪后各脉冲矩的包络线及其拟合曲线
Fig.9  天门河滩MRS方法某测深点实测数据及其反演结果与钻探结果对比
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