3d crs analysis: a new data-driven optimization strategy for the simultaneous estimate of the eight stacking parameters
| 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.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.description.pagenumber | 3284-3291 | IT |
| dc.identifier.isbn | 9781615675661 | IT |
| dc.identifier.uri | http://hdl.handle.net/11050/856 | |
| 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.subject.een-cordis | EEN CORDIS::FISICA E SCIENZE ESATTE::Scienze della terra ::Tettonica, sismologia | 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 |