Deblended-data reconstruction using generalized blending and deblending models

Tomohide Ishiyama, Mohammed Y. Ali, Satoshi Ishikawa, Shotaro Nakayama, Gerrit Blacquière

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)


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 acquired in Abu Dhabi. The results show that our method succeeded to fully reconstruct deblended data even from the fully generalized, thus quite complicated blended data
Original languageEnglish
Title of host publicationSEG Technical Program Expanded Abstracts 2018
Subtitle of host publication14-19 October 2018, Anaheim, United States
Publication statusPublished - 2018
EventSEG Annual Meeting 2018 - Anaheim convention Center, Anaheim, United States
Duration: 14 Oct 201819 Oct 2018
Conference number: 88

Publication series

NameSEG Technical Program Expanded Abstracts 2018
ISSN (Electronic)1949-4645


OtherSEG Annual Meeting 2018
Abbreviated titleSEG 2018
CountryUnited States
Internet address


  • deblending
  • reconstruction
  • simultaneous source
  • modeling
  • inversion

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