期刊文献+

山区MT资料处理新技术及效果 被引量:2

New technology and effects of mountainous MT data processing
下载PDF
导出
摘要 山区MT资料不可避免地会受到各种干扰及地形与局部异常体的影响。针对此问题,本文提出了山区MT资料处理与解释新方法:①利用基于支持向量机回归算法去噪,此法对消除部分测点的地形和局部异常体的影响有一定的作用;②使用了大地电磁二次函数逼近全局最优的非线性一维反演技术构造二维反演的初始地电模型;③采用山地二维反演技术对按实际地形构造的二维地电模型进行TE、TM联合二维反演。经实测资料处理结果表明,用本文所述方法得到的地电剖面不仅地层分层清晰,而且各层之间有很好的对比性,而以往用常规方法处理的地电剖面的规律性比较差。 The MT data in mountainous area inevitably suffered from the various interferences and influence of topography and local anomalous bodies. In view of this issue, the paper presented new mountainous MT data processing and interpretation approaches: ①using regression algorithm based on supporting vector computer for denoise, which plays some role in diminishing the influence of topography at a part of survey points and local anomalous bodies; ②using 1-D non-linear inversion that approaches global optimum by MT second-order function to construct initial geoelectric model of 2-D inversion; ③using 2-D mountainous inversion technique to carry out 2-D TE and TM combination inversion for 2-D geoelectric model based on practical topographic structure. It is shown by processing results of surveyed data that geoelectric sections yielded from the approach presented by the paper were characterized by not only identified stratigraphic division, but also good correlation among separate strata, in contrast, the regularity of geoelectric sections processed by former ordinary approach was poorer.
出处 《石油地球物理勘探》 EI CSCD 北大核心 2007年第4期454-456,473,共4页 Oil Geophysical Prospecting
基金 湖北省自然科学基金(2004ABA043) 中国博士后科学基金(2005038351) 湖北省教育厅科学技术研究重点项目(D200612002)
关键词 大地电磁测深 山区 解释 magnetotelluric sounding, mountainous area, interpretation
  • 相关文献

参考文献7

二级参考文献32

  • 1刘延年,冯纯伯.神经网络在控制领域中的应用[J].东南大学学报(自然科学版),1994,24(1):31-36. 被引量:14
  • 2刘任 陈乐寿 等.大地电磁测深数据的二维反演[J].物化探计算技术,1987,(3):185-194.
  • 3王永涛,白改先.大地电磁测深曲线的畸变及校正[J].石油物探,1997,36(1):95-106. 被引量:16
  • 4[2]deGroot-Hedlin C, Constable S. Occam' s inversion to generate smooth, two-dimensional models from magnetotelluric data. Geophysics, 1990, 55:1613 ~ 1624
  • 5[3]Smith J T, Booker J R. Rapid inversion for two- and three-dimensional magnetotelluric data. J. Geophysics Res., 1991, 96:3905 ~ 3922
  • 6[4]Rodi W, Mackie R L. Nonlinear conjugate gradients algorithm for 2- D magnetotelluric inversion. Geophysics, 2001, 66:174 ~ 187
  • 7[8]Tikhonov A N, Arsenin V Y. Solutions of ill-posed problem. U. H.Winston et al. eds. Amsterdam, 1977
  • 8[9]Routh P S, Oldenburg D W. Inversion of controlled source audio-frequency magnetotellurics data for a horizontally layered earth. Geophysics, 1999,64(6): 1689 ~ 1697
  • 9[3]Vapnik V N.Statistical Learning Theory[M].New York,Wiley,1998.
  • 10[4]Burges C J C.A Tutorial on Support Vector Machines for Pattern Recognition[J].Knowledge Discovery and Data Mining,1998,2(2):121-167.

共引文献77

同被引文献18

引证文献2

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部