Theory of model-based geophysical survey and experimental design

Abstract

Enormous sums of money are invested by industry and scientific funding agencies every year in seismic, well logging, electromagnetic, earthquake monitoring and microseismic surveys, and in laboratory-based experiments. For each survey or experiment a design process must first take place. An efficient design is usually a compromise—a suitable trade-off between information that is expected to be retrieved about a model of interest and the cost of data acquisition and processing. In some fields of geophysics, advanced methods from design theory are used, not only to optimize the survey design, but also to shift this entire trade-off relationship between information and cost. In others, either crude rules of thumb are used or, indeed, expected model information is not optimized at all.

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