Deblended-data reconstruction using generalized blending and deblending
models
Abstract
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.
AAPG Datapages/Search and Discovery Article #90329©2018 AAPG/SEG
/
EAGE
/SPE Middle East Region RDPETRO, Abu Dhabi, UAE, May 9-10, 2018