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3d crs analysis: a new data-driven optimization strategy for the simultaneous estimate of the eight stacking parameters

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dc.contributor.author Bonomi, Ernesto
dc.contributor.author Cristini, Antonio Maria
dc.contributor.author Theis, Daniela
dc.contributor.author Marchetti, Paolo
dc.date.accessioned 2014-04-29T10:44:23Z
dc.date.available 2014-04-29T10:44:23Z
dc.date.issued 2009
dc.identifier.isbn 9781615675661 IT
dc.identifier.uri http://hdl.handle.net/11050/856
dc.description.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. IT
dc.language.iso en IT
dc.publisher Curran Associates IT
dc.relation.ispartof 79th Society of Exploration Geophysicists International Exposition and Annual Meeting 2009 (SEG Houston 2009) IT
dc.relation.ispartofseries 6 IT
dc.subject data-driven method IT
dc.subject stacking parameters IT
dc.subject conjugate-direction algorithms IT
dc.subject hpc IT
dc.subject common-reflection-surface (CRS) IT
dc.title 3d crs analysis: a new data-driven optimization strategy for the simultaneous estimate of the eight stacking parameters IT
dc.type Contributo in un libro IT
dc.description.pagenumber 3284-3291 IT
dc.subject.een-cordis EEN CORDIS::FISICA E SCIENZE ESATTE::Scienze della terra ::Tettonica, sismologia IT


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