The extension of full waveform inversion to multi-parameter is the straightforward step towards achieving its full capability, i.e. extracting high resolution information about the sub-surface properties of the Earth based on seismic data. Elastic and visco-elastic FWI begin to be computationally affordable at large scale using the latest HPC technologies and thus to introduce the option to invert for more parameters such as shear wave velocity and attenuation. FWI code design is a key point to allow geophysicists to test new inversion parameterization with minimal code developments. In this study we present a framework based on the abstraction of the parameters inverted. We describe how our framework allows us to use different wave equation propagators with different optimization schemes in a transparent and flexible way. We also show how using a symbolic expression parser to automatically compute required chain rules can greatly reduce the effort needed to implement and test new parameterizations while preserving computational efficiency of the code. We finally present how this symbolic parser can be used to easily implement master-slave relationships between inverted and passive parameters. We then present some FWI tests using different types of parameterizations on the SEAM synthetic model.


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  1. Kamath, N., and Tsvankin, I.
    [2016] Elastic full-waveform inversion for VTI media: Methodology and sensitivity analysis.Geophysics, 81, no. 2, C53–C68
    [Google Scholar]
  2. Landolsi, F., Duquet, B., Rivera, C. and Bergounioux, E.
    [2016] Multiparameter acoustic FWI: Marine carbonates case study.SEG, Technical Program Expanded Abstracts, 1263–1267.
    [Google Scholar]
  3. Lions, J.L. and Magenes, E.
    [1972] Nonhomogeneous boundary value problems and applications.Springer Verlag, Berlin.
    [Google Scholar]
  4. Nocedal, J. and Wright, S.
    [2006] Numerical Optimization.Springer, New York.
    [Google Scholar]
  5. Operto, S., Gholami, Y., Prieux, V., Ribodetti, A., Brossier, R., Métivier, L. and Virieux, J.
    [2013] A guided tour of multiparameter full waveform inversion for multicomponent data: from theory to practice.The Leading Edge, 32(9), 1040–1054.
    [Google Scholar]
  6. Plessix, R.E., Milcik, P., Rynja, H., Stopin, A., Matson, K. and Abri, S.
    [2013] Multiparameter full-waveform inversion: Marine and land examples.The Leading Edge, 32(9), 1030–1038.
    [Google Scholar]
  7. Ramos-Martinez, J., Crawley, S., Zou, Z., Valenciano, A., Qiu, L., Chemingui, C. and Long, A.
    [2016] A Robust Gradient for Long Wavelength FWI Updates. SEG 25th International Geophysical Conference and Exhibition, Extended Abstracts, 547–551
    [Google Scholar]
  8. Taillandier, C., Cuif-Sjostrand, M., Appe, M. and Boelle, J.
    -. [2017] Alternative, efficient and versatile seismic wave propagator. 79th Annual International Conference and Exhibition, EAGE, Extended Abstracts.
    [Google Scholar]

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