HR: 1330h
AN: NS23A-02    [Abstracts]
TI: Survey Design Optimization Using Resolution Measure of Point Spread Function
AU: * Routh, P S
EM: routh@cgiss.boisestate.edu
AF: Boise State University, 1910 University Drive, Boise, ID 83725 United States
AU: Oldenburg, D W
EM: doug@geop.ubc.ca
AF: Dept. of Earth and Ocean Sciences, University of British Columbia, 2219 Main Mall, Vancouver, BC V6T 1Z4 Canada
AB: One of the goal in geophysical survey design is to obtain enhanced information in certain regions of the model. These regions could be static in nature i.e. location of targets in the ground such as contaminants or utilities or dynamic in nature i.e. tracking movements of contaminants in subsurface. Depending upon the goal, the objective is to determine optimal survey parameters, such as position of sources/receivers and possibly frequencies in EM experiments, that would provide 'better' model resolution in a region of interest. We pose this as an inverse problem by maximizing a resolution measure, the point spread function. The goal is to adjust the survey parameters so that the point spread function (PSF) is as delta-like as possible. This is solved as a nonlinear optimization problem with constraints on the parameters. Due to the highly nonlinear nature of the problem we examine two approaches for its solution. The first is a local, (Newton) strategy that use a primal interior point method to incorporate bounds on the parameters; the second is global method, simulated annealing. We examine different objective function crietria to solve this problem. The choice of these objective functions are crucial to impose logistical constraints in the problem. In addition to optimization problem we will also show how these PSF measures can be used to compare between different surveys. This is particularly useful when dealing with very large scale problems. We present examples from seismic tomography and controlled source EM.
UR: http://cgiss.boisestate.edu/~routh/research.html
DE: 0699 General or miscellaneous
DE: 3260 Inverse theory
SC: Near-Surface Geophysics [NS]
MN: 2005 Joint Assembly