Theory of model-based geophysical survey and experimental design

In geophysics, statistical experimental design (SED)techniques are used primarily to find optimal designs in a variety of different geophysical areas. This paper illustrates the use of these techniques to design model parameterizations that explain information contained in measured data optimally. For demonstration purposes, examples including increasing fold in seismic surveys, repeating identical shots several times to reduce measurement uncertainty, and redesigning well logging tools to increase accuracy or sensitivity, are considered.