Abstract
A new method of nonlinear correlation or matching is presented which overcomes some of the difficulties of other techniques. ‘Multiple dynamic matching’ is based on a constrained optimization approach but contains some important innovations. Rather than finding only one solution, the present method generates a ‘function network’ of probable interpretations. These are then ranked by an objective function which quantifies an interpreter's qualitative matching criteria through a similarity and simplicity measure. The top ranking matching function thus determined is used to correlate the zones which are structurally equivalent in sonic well logs, and an example of an automatic structural interpretation is given.
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