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dc.contributor.authorHuang, Kou-Yuanen_US
dc.contributor.authorChen, Kai-Juen_US
dc.contributor.authorYang, Jia-Rongen_US
dc.date.accessioned2014-12-08T15:29:21Z-
dc.date.available2014-12-08T15:29:21Z-
dc.date.issued2012en_US
dc.identifier.isbn978-1-4673-1159-5en_US
dc.identifier.issn2153-6996en_US
dc.identifier.urihttp://hdl.handle.net/11536/21142-
dc.description.abstractVelocity picking is to pick several peaks on seismic semblance image (stacking energy) that is very important in seismic data processing. In time-velocity semblance image, these chosen peaks are representing the relation of stacking velocity and time. In this study, we apply simulated annealing (SA) on seismic velocity picking problem and use two constraints in the energy function of SA algorithm for searching a best peak point combination. After obtaining the best polyline, we use the picking result to perform further seismic data processing including normal move-out (NMO) correction and common midpoint stacking. This method automates the velocity picking procedure with short period of time and improves the further seismic data interpretation.en_US
dc.language.isoen_USen_US
dc.subjectseismic velocity pickingen_US
dc.subjectsimulated annealingen_US
dc.subjectnormal move-out (NMO) correctionen_US
dc.subjectcommon midpoint (CMP) gatheren_US
dc.titleSEISMIC VELOCITY PICKING BY SIMULATED ANNEALINGen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)en_US
dc.citation.spage6079en_US
dc.citation.epage6082en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000313189406019-
Appears in Collections:Conferences Paper