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Multiple seismic data sets are often recorded to monitor changes in Earth properties. Results from studies using Full Waveform Inversion (FWI) to recover 4D changes have been encouraging thus far. Since 4D monitoring involves looking for small changes in localized regions, understanding the uncertainty in the measurement of those changes is key. We present an efficient way of creating big samples of data in a fast and computationally inexpensive way. We then use them in a statistical inversion technique to evaluate the performance of current 4D FWI techniques.
This presentation is part of Minisymposium “MS67 - Advances and new directions in seismic imaging and inversion (3 parts)”
organized by: Mauricio Sacchi (University of Alberta) , Sergey Fomel (University of Texas, Austin) , Laurent Demanet (MIT ) .