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基于二维高密度电阻率数据的二、三维反演对比(英文)
引用本文:冯德山,戴前伟,肖波.基于二维高密度电阻率数据的二、三维反演对比(英文)[J].中国有色金属学会会刊,2014,24(1):224-232.
作者姓名:冯德山  戴前伟  肖波
作者单位:[1]中南大学 地球科学与信息物理学院,长沙 410083 [2]有色金属成矿预测教育部重点实验室,长沙 410083
基金项目:Projects (41074085,41374118) supported by the National Natural Science Foundation of China,Project (20120162110015) supported by Doctoral Fund of Ministry of Education of China,Project (NCET-12-0551) supported by Program for New Century Excellent Talents in University, China
摘    要:目前高密度电阻率法所采用的数据处理方法主要是将地质结构体视为二度体进行二维处理,因而二维数据资料处理结果只是一种近似解释,其计算精度与反演效果达不到精确反演的要求。设计两种典型的电阻率异常地质体模型,利用有限单元法进行正演计算。为更真实地模拟实测数据并分析二维、三维反演算法对噪声的敏感度,在正演剖面中加入1%的高斯随机误差,然后再分别利用最小二乘法进行高密度电阻率法二维、三维反演。对比二维和三维高密度电阻率法的反演水平切片及垂直切片图可知,三维反演受高斯随机误差的影响更小,反演结果在模型异常位置、形态和电阻率特性反映上都比二维反演的效果更好,与实际地质模型更接近。

关 键 词:高密度电阻率法  有限单元法  正演模拟  最小二乘反演  二维反演  三维反演  视电阻率
收稿时间:30 December 2012

Contrast between 2D inversion and 3D inversion based on 2D high-density resistivity data
De-shan FENG,Qian-wei DAI,Bo XIAO.Contrast between 2D inversion and 3D inversion based on 2D high-density resistivity data[J].Transactions of Nonferrous Metals Society of China,2014,24(1):224-232.
Authors:De-shan FENG  Qian-wei DAI  Bo XIAO
Affiliation:1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China; 2. Key Laboratory of Metallogenic Prediction of Nonferrous Metals, Ministry of Education, Changsha 410083, China)
Abstract:The 2D data processing adopted by the high-density resistivity method regards the geological structures as two degrees, which makes the results of the 2D data inversion only an approximate interpretation;the accuracy and effect can not meet the precise requirement of the inversion. Two typical models of the geological bodies were designed, and forward calculation was carried out using finite element method. The forward-modeled profiles were obtained. 1% Gaussian random error was added in the forward models and then 2D and 3D inversions using a high-density resistivity method were undertaken to realistically simulate field data and analyze the sensitivity of the 2D and 3D inversion algorithms to noise. Contrast between the 2D and 3D inversion results of least squares inversion shows that two inversion results of high-density resistivity method all can basically reflect the spatial position of an anomalous body. However, the 3D inversion can more effectively eliminate the influence of interference from Gaussian random error and better reflect the distribution of resistivity in the anomalous bodies. Overall, the 3D inversion was better than 2D inversion in terms of embodying anomalous body positions, morphology and resistivity properties.
Keywords:high-density resistivity method  finite element method  forward simulation  least square inversion  2D inversion  3D inversion  apparent resistivity
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