| 利用一维正则化反演进行大地电磁测深数据拟二维反演解释 |
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| 引用本文： | 戴亦军,童孝忠,张连伟,曹创华.利用一维正则化反演进行大地电磁测深数据拟二维反演解释[J].物探化探计算技术,2012,34(1):33-38. |
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| 作者姓名： | 戴亦军 童孝忠 张连伟 曹创华 |
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| 作者单位： | 1. 中南大学信息物理工程学院,长沙,410083
2. 铁道第三勘察设计院,天津,300251 |
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| 基金项目： | 湖南省自然科学基金项目（10JJ6059）; 湖南省科研条件创新专项基金项目（2010TT2056） |
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| 摘 要： | 大地电磁测深的反演问题是不适定的,其反演结果不稳定,且具有非唯一性。通过在目标函数中采用正则化方法,可以使得不适定反演问题具有稳定的反演结果,并改善解的稳定性和非唯一性问题。为了提高野外大地电磁测深数据的处理效率和初步解释的精度,提出了大地电磁测深数据的一维正则化反演进行拟二维反演解释方法。这里所述的大地电磁测深一维反演解释,与以往的解释方法不同,其思路首先用Bostick反演的深度来控制层参数,使反演计算的模型参数仅存在电阻率;最后采用阻尼高斯-牛顿算法进行反演计算,并将Bostick反演结果作为反演计算的初始模型。通过模型试算,结果表明其处理速度快、解释直观,对野外大地电磁测深数据进行初步反演解释是可行的。
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| 关 键 词： | 大地电磁测深 反演 正则化方法 阻尼高斯～牛顿算法 |
PSEUDO-2D INVERSION INTERPRETATION FOR MAGNETOTELLURIC DATA USING 1D REGULARIZATION INVERSION METHOD |
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| Institution: | DAI Yi-jun1,TONG Xiao-zhong1,ZHANG Lian-wei2(1.School of Info-physics and Geomatics Engineering,Central South University,Changsha 410083,China;2.The Third Survey and Design Institute of China Railway,Tianjin 300251,China) |
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| Abstract: | The MT inversion problem is ill-posed and the inversion results are unstable and non-unique.A stable solution of the ill-posed inverse problem can be obtained by utilizing the regularization methods in the objective function.In order to improve the processing efficiency and precision of primary interpretation for MT data,1D regularization inversion method was put forward for MT data pseudo-2D inversion interpretation,which is different from the previous interpretation.Firstly,we control layer parameters through the depth of bostick inversion and the regularization inversion calculation of model parameters exists only resistivity.Secondly,the damped gauss-newton algorithm was adopted for inversion and the initial model was chosen by the bostick inversion results.Through the synthetic model simulating,the inversion result shows that the processing speed is fast and the interpretation method is visual.So the pseudo-2D inversion is acceptable as primary inversion interpretation for MT data. |
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| Keywords: | magnetotelluric/MT inversion regularization damped gauss-newton algorithm |
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