![3d resistivity inversion software piracy](https://kumkoniak.com/8.jpg)
![3d resistivity inversion software piracy 3d resistivity inversion software piracy](https://img.informer.com/p3/agi-earthimager-3d-v1.3-main-window-example.png)
Oldenborger and Routh also introduced 3D resistivity inversion with the assistance of point spread function. achieved 3D resistivity inversion for arbitrary topography based on finite element with unstructured mesh.
![3d resistivity inversion software piracy 3d resistivity inversion software piracy](http://agcos.ca/wp/wp-content/uploads/2014/01/geoinf321-1024x792.jpg)
However, this modified inversion process can only be applied to flat surface. increased the accuracy of inversion by introducing the volume factor and switching from global inversion to local inversion. Based on the smoothness constrained FEM algorithm, they get reasonable result. Tsourlos and Ogilvy studied the 3D inversion of borehole-to-surface resistivity and IP data. improved the efficiency of computing Jacobi matrix which can eliminate some unused parameters for inversion save memory space, and speed up inversion without losing the accuracy. Moreover, E-SCAN method is based on AM (two electrodes) array and the resolution is lower than gradient array. However, it is difficult to obtain the raw 3D data in real exploration since this method of measurement is time and money consuming. tested the application of E-SCAN method of measurement to 3D inversion problem with complex topography and synthetic study shows that this method works well. The computation cost can be reduced significantly and it makes the 3D inversion become feasible. Loke and Barker introduced the E-SCAN (pole-pole array) 3D inversion technique where the Fréchet derivative matrix can be obtained by the halfspace analytical solution. conducted the research on 3D DC resistivity inversion using conjugate gradient method. The synthetic model studies show that the recovered resistivity imaging is quite different from the true model if the anomaly is located deep underground. These introduced 3D inversion methods work well to recover shallow resistivity anomalies but fail to produce high-resolution image for the deep anomalous bodies. Sasaki also described similar 3D inversion algorithm but based on finite element method. Park and Van introduced 3D inversion based on finite difference method. This developed method for computing sensitivity matrix was successfully applied to a 2D DC resistivity inversion problem. introduced a method for calculating the sensitivity matrix, based on the relationship between electric potential and model parameter. The efficiency for 3D inversion problem depends primarily on 3 factors: efficient inversion algorithm, method for computing sensitivity matrix and the solver for a large liner system. Based on Qiang and Luo’s work on 3D DC finite element resistivity modeling with complex topography, we conducted 3D regularized inversion and imaging for this complex model. In DC resistivity exploration method, complex topography can generate artificial anomalies which will cause difficulty for the data interpretation. Our synthetic model study also shows that the convergence and computation speed are very stable and fast. As a result, this algorithm potentially can be applied to process the DC resistivity data collected in mountain area. By incorporating topography into inversion, the artificial anomaly which is actually caused by topography can be eliminated. The synthetic model study shows that this optimized weighting function is helpful to improve the resolution of deep anomaly. In this study, we also analyzed the sensitivity of the electric potential on the earth’s surface to the conductivity in each cell underground and introduced an optimized weighting function to produce new sensitivity matrix. The Fréchet derivative is assembled with the electric potential in order to speed up the inversion process based on the reciprocity theorem. In this paper, we implemented 3D DC resistivity inversion based on regularized conjugate gradient method with FEM. During the past decades, we observed a strong interest in 3D DC resistivity inversion and imaging with complex topography.
![3d resistivity inversion software piracy](https://kumkoniak.com/8.jpg)