Full Waveform Inversion Using an Energy-Based Objective Function with Efficient Calculation of the Gradient

Yun Seok Choi, Tariq Ali Alkhalifah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Full waveform inversion (FWI) using an energy-based objective function has the potential to provide long wavelength model information even without low frequency in the data. However, without the back-propagation method (adjoint-state method), its implementation is impractical for the model size of general seismic survey. We derive the gradient of the energy-based objective function using the back-propagation method to make its FWI feasible. We also raise the energy signal to the power of a small positive number to properly handle the energy signal imbalance as a function of offset. Examples demonstrate that the proposed FWI algorithm provides a convergent long wavelength structure model even without low-frequency information, which can be used as a good starting model for the subsequent conventional FWI.
Original languageEnglish (US)
Title of host publication79th EAGE Conference and Exhibition 2017
PublisherEuropean Association of Geoscientists and Engineers, EAGE
ISBN (Print)9789462822177
DOIs
StatePublished - May 26 2017

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