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Seismic Waveform Inversion Using an Iterative Ensemble Kalman SmootherNormal access

Authors: M. Gineste, J. Eidsvik and Y. Zheng
Event name: Second EAGE/PESGB Workshop on Velocities
Session: Uncertainty and Automation
Publication date: 04 April 2019
DOI: 10.3997/2214-4609.201900038
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 434.14Kb )
Price: € 20

The seismic inverse problem is considered in a Bayesian framework and uses a sequential filtering approach to invert for elastic parameters. The method employs an iterative ensemble smoother to estimate the subsurface parameters and from the ensemble, an estimation uncertainty can be extracted. The sequential filtering conditions over partitions of the entire data record in order to drive the estimation process in a top-down manner and regularize the inversion process. The method is presented with a synthetic example using seismic shot record for a 1D medium.

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