METHOD FOR PREDICTING THE BEST AND WORST IN A SET OF NON-UNIQUE SOLUTIONS

METHOD FOR PREDICTING THE BEST AND WORST IN A SET OF NON-UNIQUE SOLUTIONS

Method for determining best and worst cases for values of model parameters such as porosity and shale volume fraction generated by non-unique matrix inversion of physical data such as seismic reflection amplitudes. The matrix is diagonalized, and then orthonormal basis vectors associated with insign...

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Bibliographische Detailangaben
Hauptverfasser: FINN, Christopher, J, SALTZER, Rebecca, L, KEYS, Robert, G
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
DETECTING MASSES OR OBJECTS
GEOPHYSICS
GRAVITATIONAL MEASUREMENTS
MEASURING
PHYSICS
TESTING
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Beschreibung
Zusammenfassung:Method for determining best and worst cases for values of model parameters such as porosity and shale volume fraction generated by non-unique matrix inversion of physical data such as seismic reflection amplitudes. The matrix is diagonalized, and then orthonormal basis vectors associated with insignificant diagonal elements are used to generate upper and lower bounds on the solution. Best and worst case solutions are determined as linear combinations of the null basis vectors, where the expansion coefficients are determined by making a best fit to the upper and lower bounds.