1887

Abstract

For prediction and removal of internal multiples, inverse scattering series methods operate in situations where an accurate velocity model and generator picks are absent or difficult to determine. The technology has produced remarkable results, however, its regular, practical, and value-added use requires algorithms which simultaneously incorporate (1) flexibility, in the sense of domain of computation; (2) non stationarity, in selection of the searchlimiting parameters associated with the method; (3) extension to elastic/multicomponent data; and (4) correct ordering of sub-events in input data preparation, even in the presence of complex wave phenomena such as multiple elastic conversions. In this paper we summarize the development of an integrated set of inverse series prediction algorithms that are designed to address these issues and push forward the practical applicability of this type of technology.

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/content/papers/10.3997/2214-4609.201801963
2018-06-10
2024-03-29
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201801963
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