Deblended-data reconstruction using generalized blending and deblending models

Tomohide Ishiyama; Mohammed Y. Ali

doi:10.1190/RDP2018-40743530.1

Deblended-data reconstruction using generalized blending and deblending models
Authors Tomohide Ishiyama¹, Mohammed Y. Ali¹
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Affiliations: ¹ Khalifa University of Science and Technology, Petroleum Institute
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, Research and Development Petroleum Conference and Exhibition 2018, May 2018, Volume 2018, p.32 - 36
DOI: https://doi.org/10.1190/RDP2018-40743530.1

Abstract

Summary

We introduce a generalized concept of blending and deblending, establish its models, and accordingly establish a method of deblended-data reconstruction using these models. The generalized models can handle real-life situations by including random encoding into the generalized operators both in the space and time domain, and both at the source and receiver side. We consider an iterative optimization scheme using a closed-loop approach with the generalized-blending and -deblending models, in which the former works for the forward modelling and the latter for the inverse modelling in the closed loop. We established and applied this method to existing real datasets offshore Abu Dhabi. The results show that our method succeeded to fully reconstruct deblended data even from the fully generalized, thus quite complicated blended data.

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2018-05-09

2024-04-20

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Deblended-data reconstruction using generalized blending and deblending models

Conference Proceedings 2018, 32 (2018); https://doi.org/10.1190/RDP2018-40743530.1

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Deblended-data reconstruction using generalized blending and deblending models

Abstract

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