Sensitivity Function Computation of Electrical Resistance Imaging Using Forward Matrix Method
عنوان دوره: پنجمین همایش ژئوفیزیک اکتشافی نفت
نویسندگان
Institute of Geophysics, University of Tehran
چکیده
The sensitivity matrix is an integral part of every non-linear inversion process. The sensitivity values indicate the variation of the forward response with respect to the variation of model parameters. Sensitivity patterns are also a criterion to assess the reliability of the inverted models and to design optimum resistivity surveys. In this study, a numerical approach based on the forward matrix calculation in the framework of the 2.5D finite-difference electrical resistivity forward modeling is presented. To verify and analyze the proposed numerical method, the sensitivity distributions assuming homogeneous and inhomogeneous media for commonly used electrical resistivity tomography configurations (e.g. pole-pole, pole-dipole, dipole-dipole, and Wenner) are computed. The numerical experiments reveal that the sensitivity patterns vary spatially throughout the model depending not only on the resistivity distribution but also on the electrode configuration.
کلیدواژه ها
 
Title
Sensitivity Function Computation of Electrical Resistance Imaging Using Forward Matrix Method
Authors
Reza Ghanati
Abstract
The sensitivity matrix is an integral part of every non-linear inversion process. The sensitivity values indicate the variation of the forward response with respect to the variation of model parameters. Sensitivity patterns are also a criterion to assess the reliability of the inverted models and to design optimum resistivity surveys. In this study, a numerical approach based on the forward matrix calculation in the framework of the 2.5D finite-difference electrical resistivity forward modeling is presented. To verify and analyze the proposed numerical method, the sensitivity distributions assuming homogeneous and inhomogeneous media for commonly used electrical resistivity tomography configurations (e.g. pole-pole, pole-dipole, dipole-dipole, and Wenner) are computed. The numerical experiments reveal that the sensitivity patterns vary spatially throughout the model depending not only on the resistivity distribution but also on the electrode configuration.
Keywords
Electrical resistivity imaging, Sensitivity function, Finite difference method