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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。
At present, the method of data processing used in the high-density resistivity method is mainly to treat the geological structure as a two-dimensional body, so that the result of two-dimensional data processing is only an approximate explanation, and the calculation accuracy and the inversion effect are not up to To the exact inversion of the request. Two typical geological models of resistivity anomalies are designed, and the finite element method is used for forward modeling. In order to simulate the measured data more realistically and analyze the sensitivity of two-dimensional and three-dimensional inversion algorithms to noise, a Gaussian random error of 1% is added to the forward profile, and then two-dimensional high-density resistivity method , Three-dimensional inversion. Comparing 2D and 3D high-density resistivity inversion horizontal slices and vertical slices shows that the 3D inversion is less affected by the Gaussian random error, and the inversion results are much lower than the anomalous position, shape and resistivity of the model 2D inversion is more effective and closer to the actual geological model.