Surface-related Multiple Elimination for Blended Data

J.T. Ma; Y.R. Xue; X.H. Chen

doi:10.3997/2214-4609.201413392

Surface-related Multiple Elimination for Blended Data
Authors J.T. Ma¹, Y.R. Xue¹, X.H. Chen¹
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Affiliations: ¹ China University of Petroleum, Beijing
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 77th EAGE Conference and Exhibition 2015, Jun 2015, Volume 2015, p.1 - 5
DOI: https://doi.org/10.3997/2214-4609.201413392

Abstract

Summary

Surface-related multiple elimination technique is applied on blended data directly in this paper. It is demonstrated that as long as the blending operator is known, the surface related multiple can be predicted by a formula similar to SRME. The output is the blended multiples. An adaptive subtraction is then applied to obtain the blended primary. The calculation of this method, comparing with EPSI on blended data, is smaller. And the output can be further processed using blended data based algorithms. Two synthetic data examples are given to illustrate the method.

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2015-06-01

2024-04-16

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References

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Surface-related Multiple Elimination for Blended Data

Conference Proceedings 2015, 1 (2015); https://doi.org/10.3997/2214-4609.201413392

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Abstract

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