Comparing Objective Functions for Velocity Inversion

dc.contributor.authorGockenbach, Mark S.en_US
dc.contributor.authorSymes, William W.en_US
dc.date.accessioned2018-06-18T17:41:12Zen_US
dc.date.available2018-06-18T17:41:12Zen_US
dc.date.issued1993-10en_US
dc.date.noteOctober 1993en_US
dc.description.abstractThe success of automatic velocity inversion is highly dependent on the numerical tractability of the optimization problem which defines the solution. The purpose of this paper is to compare the objective (cost) functions arising from two different formulations of the problem. It is shown by example that the output least-squares approach defines an objective function which can be highly nonconvex and which can have local, nonglobal minima. In contrast, the method of Differential Semblance Optimization defines a cost function which has a unique minimizer and which appears to be nearly convex. These two approaches are applied to the simple problem of determining the depth of a horizontal reflector and the velocity of the layer above it.en_US
dc.format.extent18 ppen_US
dc.identifier.citationGockenbach, Mark S. and Symes, William W.. "Comparing Objective Functions for Velocity Inversion." (1993) <a href="https://hdl.handle.net/1911/101816">https://hdl.handle.net/1911/101816</a>.en_US
dc.identifier.digitalTR93-46en_US
dc.identifier.urihttps://hdl.handle.net/1911/101816en_US
dc.language.isoengen_US
dc.titleComparing Objective Functions for Velocity Inversionen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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