||Joint inversion of simultaneous source time-lapse seismic data sets||
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Joint inversion of simultaneous source time-lapse seismic data sets
Gboyega Ayeni, Yaxun Tang, and Biondo Biondi
We present a joint inversion method, based on iterative least-squares migration, for imaging simultaneous source time-lapse seismic data sets.
Non-repeatable shot and receiver positions introduce undesirable artifacts into time-lapse seismic images.
We conjecture that when data sets are acquired with several simultaneously shooting sources, additional artifacts will result from relative shot-timing non-repeatability.
These artifacts can be attenuated by joint inversion of such data sets without any need for initial separation.
Preconditioning with non-stationary dip filters and with temporal smoothness constraints ensures stability and geologically consistent time-lapse images.
Results from a modified Marmousi 2D model show that the proposed method yields reliable time-lapse images.