Title :
Optimal survey design using focused resistivity arrays
Author :
Cherkaeva, Elena ; Tripp, Alan C.
Author_Institution :
Dept. of Geol. & Geophys., Utah Univ., Salt Lake City, UT, USA
fDate :
3/1/1996 12:00:00 AM
Abstract :
The first problem which needs to be solved when planning any geoelectrical survey is a choice of a particular electrode configuration that can give the maximal response from a target inhomogeneity. The authors formulate a problem of maximizing the response as an optimization problem for an applied current intensity distribution on the surface. The solution of this problem is the optimal intensity distribution of the current, which maximizes the response from the inclusion. This problem is solved numerically with singular value decomposition of an impedance matrix. The optimal current array is modeled as a current of varying optimal intensity injected at different electrodes. The problem does not need any information about the inclusion but its measured impedance matrix. Thus an optimal current array can be designed for every particular resistivity distribution. The optimal current patterns are found for a number of models of a conductive inclusion, and responses due to the optimal current are compared with responses due to conventional arrays. This method can be applied to any background and inclusion resistivity distribution
Keywords :
electric impedance; geophysical prospecting; geophysical techniques; matrix algebra; optimisation; singular value decomposition; terrestrial electricity; applied current intensity distribution; electrode configuration choice; focused resistivity array; geoelectric; geology; geophysical measurement technique; impedance matrix; inclusion electrical resistivity; maximal response; maximization; optimal current array; optimal survey design; optimization problem; prospecting; singular value decomposition; target inhomogeneity; terrestrial electricity; varying optimal intensity; Biomedical measurements; Conductivity; Electrodes; Geologic measurements; Geology; Geophysical measurements; Matrix decomposition; Monitoring; Pollution measurement; Singular value decomposition;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on