3d crs analysis: a new data-driven optimization strategy for the simultaneous estimate of the eight stacking parameters
Caricamento...
Data
2009
Autori
Bonomi, Ernesto
Cristini, Antonio Maria
Theis, Daniela
Marchetti, Paolo
Titolo del periodico
ISSN
Titolo del volume
Editore
Curran Associates
Abstract
We devised a data-driven strategy for the simultaneous estimate of the eight CRS traveltime attributes, solving a global non-linear minimization problem without the need of computing gradients. The essential elements in this Eni research and development activity are the following: a conjugate-direction method supported by well known convergence properties and an iterative line-search implementing the strong Wolfe-Powell rule for the control of the steplength. The resulting algorithm can reach very good solutions in presence of many local minima.
Descrizione
Keywords
data-driven method , stacking parameters , conjugate-direction algorithms , hpc , common-reflection-surface (CRS)