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Least-squares joint imaging of primaries and pegleg multiples: 2-D field data test

Morgan Brown

morgan@sep.stanford.edu

ABSTRACT

In this paper I present an improved least-squares joint imaging algorithm for primary reflections and pegleg multiples (LSJIMP) which utilizes improved amplitude modeling and imaging operators presented in two companion papers in this report Brown (2003a,b). This algorithm is applied to the entire Mississippi Canyon 2-D multiples test dataset and demonstrates a good capability to separate pegleg multiples from the data.



 
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Stanford Exploration Project
7/8/2003