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3-Dimensional data interpretation of resistivity method by numerical coordinate transformation

机译:电阻率法数值坐标变换的三维数据解释

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Previous studies on the theory of optimal computational space indicated that the forward problem for the resistivity method could be replaced by the problem of numerical coordinate transformation. This conclusion implies that an efficient algorithm could be developed as long as the problems of the numerical coordinate transformation were solved. Clearly, the coordinate transformation should be reciprocated between the physical space and the computational space. To avoid using of the interpolation method, two direction transformation equations are applied. However, the introduced transformation equations cannot be easily solved either in the physical space or in the optimal computational space because the grid systems in both spaces are non-uniform. In fact, the grid coordinates are the unknowns to be solved. These facts suggest that, to describe our transformation equations, an "executing coordinate system" is needed. In this study, a third coordinate space, the intermediate space, is introduced. In this new space, the grid system holds a one-to-one coordinate transformation relation to those in the physical and computational spaces, and remains as a uniform grid system. Solving all the transformation equations in this space provides the coefficient matrices with the regular structure regardless of the topographies and resistivity distributions. In this algorithm, the initial grid in the computational space is assigned uniform or whatever expected and the initial grid in the physical space is created by the hyperbolic transform system according to the prescript surface grid in the physical space and the whole grid system in the computational space. To refine the grid systems in both spaces, elliptical systems are applied. Several numerical tests by this algorithm are carried out to show its application to the forward problems.
机译:先前对最佳计算空间理论的研究表明,电阻率方法的正向问题可以由数值坐标转换问题代替。该结论表明,只要解决了数值坐标变换的问题,便可以开发出一种有效的算法。显然,坐标变换应在物理空间和计算空间之间往复移动。为了避免使用插值方法,应用了两个方向变换方程。但是,引入的变换方程在物理空间或最佳计算空间中均不容易求解,因为两个空间中的网格系统都不均匀。实际上,网格坐标是要解决的未知数。这些事实表明,为了描述我们的变换方程,需要“执行坐标系”。在这项研究中,引入了第三坐标空间,即中间空间。在这个新空间中,网格系统与物理和计算空间中的网格系统保持一一对应的坐标转换关系,并保持统一的网格系统。求解此空间中的所有变换方程式,将为系数矩阵提供规则的结构,而与地形和电阻率分布无关。在该算法中,将计算空间中的初始网格分配给统一的或期望的任何值,然后由双曲变换系统根据物理空间中的规定表面网格和计算中的整个网格系统来创建物理空间中的初始网格。空间。为了改进两个空间中的网格系统,应用了椭圆系统。通过该算法进行了若干数值测试,以证明其在正向问题中的应用。

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