文章摘要
朱裕振,陈孟月,强建科,刘海飞,邓超凡,陆凯旋,张雅坤.磁场矢量及梯度偏移成像方法研究[J].矿产勘查,2024,15(9):1720-1727
磁场矢量及梯度偏移成像方法研究
Research on magnetic field vector and gradient migration imaging method
投稿时间:2024-06-19  修订日期:2024-07-27
DOI:10.20008/j.kckc.202409017
中文关键词: 二维磁异常  磁场偏移成像  磁场梯度偏移成像  伴随算子  延拓
英文关键词: two dimensional magnetic anomaly  magnetic migration imaging  magnetic gradient migration imaging  adjoint operator  continuation
基金项目:本文受山东省煤田地质局重点科研专项(鲁煤地科字[2023]16号)资助。
作者单位邮编
朱裕振 山东省煤田地质规划勘察研究院山东 济南 250104
中国地球物理学会煤田地球物理重点实验室山东 济南 250104 
250104
陈孟月 中南大学地球科学与信息物理学院湖南 长沙 410083 410083
强建科* 中南大学地球科学与信息物理学院湖南 长沙 410083 410083
刘海飞 中南大学地球科学与信息物理学院湖南 长沙 410083 410083
邓超凡 中南大学地球科学与信息物理学院湖南 长沙 410083 410083
陆凯旋 中南大学地球科学与信息物理学院湖南 长沙 410083 410083
张雅坤 中南大学地球科学与信息物理学院湖南 长沙 410083 410083
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中文摘要:
      针对目前二维磁场解释中仍然使用人机互动的半定量建模拟合问题,本文基于位场偏移成像理论,通过对镜像磁场源的向上延拓迭代,实现二维磁场及其梯度的正演模拟和偏移成像算法,编写了相关程序。模型计算表明,偏移成像算法得到的磁性体空间位置与模型位置吻合较好,横向分辨率高于纵向分辨率。在抗噪声研究中,给理论磁场数据中增加了多达50%的干扰信号,偏移成像结果依然清楚,表明该算法具有稳健的抗噪声能力。采用物理试验方法获得磁总场梯度实测数据,经偏移成像得到磁性体的位置与试验铁块位置一致,说明该算法能够反演解释野外生产中获得的磁场梯度数据。上述研究表明,二维磁场及其梯度偏移成像算法,性能稳定,抗干扰能力强,自动迭代实现反演成像,简单便捷。
英文摘要:
      Aiming at the semi quantitative modeling and fitting problem of human-computer interaction in the current two-dimensional magnetic field interpretation, based on the potential field migration imaging theory, this paper studies the migration imaging algorithm of two-dimensional magnetic field and its gradient, that is, through the upward continuation iteration of the mirror magnetic field source, the imaging algorithm of magnetic susceptibility is realized, and the forward simulation and migration imaging program are written. The model calculation shows that the spatial position of the magnetic body obtained by the migration imaging algorithm is in good agreement with the model position, and the transverse resolution is higher than the longitudinal resolution. In the anti-noise research, a large interference signal is added to the theoretical magnetic field data. The migration imaging results show that the magnetic body imaging is clear, which shows that the algorithm has robust anti-noise ability. The measured data of magnetic field gradient are obtained by physical experiment method. The position of magnetic body obtained by migration imaging is consistent with the position of experimental iron block, which shows that the algorithm can inverse and interpret the magnetic field gradient data obtained in field production. The above research shows that the two-dimensional magnetic field and its gradient migration imaging algorithm has stable performance, strong anti-noise ability, automatic iterative inversion imaging, simple and convenient, and is worthy of popularization.
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