Nonlinear inversion in electrode logging in a highly deviated formation with invasion using an oblique coordinate system

被引:18
作者
Abubakar, A [1 ]
van den Berg, PM [1 ]
机构
[1] Delft Univ Technol, Lab Electromagnet Res, NL-2600 AA Delft, Netherlands
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2000年 / 38卷 / 01期
关键词
electrode logging; nonlinear inversion; oblique coordinate system; three-dimensional method;
D O I
10.1109/36.823898
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Electrode logging as known in the oil industry is a method for determining the electrical conductivity distribution around a borehole or between two boreholes from the static-held (dc) measurements in the borehole, In this paper, we discuss the reconstruction of the three-dimensional (3-D) conductivity around a borehole in a highly deviated formation with invasion. At this moment, we-have not included the borehole effect. To solve this problem, the full vector analysis is required. In most available algorithms, for the forward and inverse modeling of the resistivity data, the dipping bed environment is approximated using the staircase-discretization grid. In contrast, we have modeled the dipping-bed environment by introducing an oblique (nonorthogonal) coordinate system. By using the oblique coordinate system, we have gained some advantages over the usual approach. First, the use of the staircasing approximation for the dipping-bed environment can be avoided. This means that we reduce the discretization error and we can suffice with less discretization points to obtain the results with the same degree of accuracy as the problem formulated in the Cartesian coordinate system. Secondly, the horizontally-symmetry constraints of the conductivity distribution can be included easily in the inversion procedure. Several numerical results are presented to demonstrate the performance of the inversion method using the synthetic "measured" data, which are-generated by solving a forward-scattering problem numerically with the help of the conjugate gradient fast fourier transform (CGFFT) method.
引用
收藏
页码:25 / 38
页数:14
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