Abstract:The ray-based beam migration is a flexible,efficient and relatively accurate prestack depth imaging approach,which can resolve steep-dip structures and image multiple arrivals.The Gaussian beam migration projects all the reflection events into the subsurface along the traveltime isochrones,indicating that it will migrate all the events in the τ-p domain,which leads to huge calculations,and migration noise and artifacts.As an improvement for Gaussian beam migration,controlled beam migrations use only selected events.But most controlled beam migrations just use the instantaneous slowness information at receivers,neglecting the slowness information at sources.In this paper,in order to make full use of the slowness information both at sources and receivers,we propose a data-driven controlled beam migration.First local slant stacks of common-receiver gathers and common-shot gathers are carried out,the slowness information at sources and receivers are extracted with the coherence analysis.Then a migration quality control factor is designed to choose events.Finally,the selected events are imaged.Compared with the conventional Gaussian beam migration,the data-driven controlled beam migration can better suppress migration noise and artifacts,and achieve better imaging of low signal-to-noise ratio data.Model and field data tests prove the feasibility,validity,and applicability of the proposed method.
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