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Seismic Waveform Inversion Using an Iterative Ensemble Kalman Smoother
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, Second EAGE/PESGB Workshop on Velocities, Apr 2019, Volume 2019, p.1 - 3
Abstract
Summary
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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