The most common approach to obtaining reservoir properties from seismic data exploits the amplitude variation with offset response of reflected waves. However, structural complexity and errors in the velocity model can severely reduce the quality of the inverted results. Full-waveform inversion (FWI) has shown a lot of promise in obtaining high-resolution velocity models for depth imaging. We propose supplementing FWI with rock-physics constraints obtained from borehole data to invert for reservoir properties. The constraints are imposed by adding appropriately weighted regularization terms to the objective function. The advantages of this technique over conventional FWI algorithms are shown by conducting synthetic tests for both isotropic and VTI (transversely isotropic with a vertical symmetry axis) models. The medium parameterization for FWI is selected using radiation (scattering) patterns of perturbations in the model parameters.
Alkhalifah, T., and R. Plessix, 2014, A recipe for practical full-waveform inversion in anisotropic media: An analytical parameter resolution study: Geophysics, 79, no. 3, R91–R101, https://doi.org/10.1190/geo2013-0366.1.AbstractWeb of ScienceGoogle Scholar Asnaashari, A., R. Brossier, S. Garambois, F. Audebert, P. Thore, and J. Virieux, 2013, Regularized seismic full waveform inversion with prior model information: Geophysics, 78, no. 2, R25–R36, https://doi.org/10.1190/geo2012-0104.1.AbstractWeb of ScienceGoogle Scholar Byrd, R. H., P. Lu, J. Nocedal, and C. Zhu, 1995, A limited memory algorithm for bound constrained optimization: SIAM Journal on Scientific Computing, 16, no. 5, 1190–1208, https://doi.org/10.1137/0916069.CrossrefWeb of ScienceGoogle Scholar Coléou, T., F. Allo, R. Bornard, J. Hamman, and D. Caldwell, 2005, Petrophysical seismic inversion: 75th Annual International Meeting, SEG, Expanded Abstracts, 1355–1358, https://doi.org/10.1190/1.2147938.AbstractGoogle Scholar Duan, Y., and P. Sava, 2016, Elastic wavefield tomography with physical model constraints: Geophysics, 81, no. 6, R447–R456, https://doi.org/10.1190/geo2015-0508.1.AbstractWeb of ScienceGoogle Scholar Kamath, N., and I. Tsvankin, 2016, Elastic full-waveform inversion for VTI media: Methodology and sensitivity analysis: Geophysics, 81, no. 2, C53–C68, https://doi.org/10.1190/geo2014-0586.1.AbstractWeb of ScienceGoogle Scholar Kamath, N., I. Tsvankin, and E. D'ıaz, 2016, Elastic FWI for VTI media: A synthetic parameterization study: 86th Annual International Meeting, SEG, Expanded Abstracts, 301–305, https://doi.org/10.1190/segam2016-13820100.1.AbstractGoogle Scholar Operto, S., Y. Gholami, V. Prieux, A. Ribodetti, R. Brossier, L. Metivier, and J. Virieux, 2013, A guided tour of multiparameter full-waveform inversion with multicomponent data: From theory to practice: The Leading Edge, 32, no. 9, 1040–1054, https://doi.org/10.1190/tle32091040.1.AbstractGoogle Scholar Plessix, R., 2006, A review of the adjoint-state method for computing the gradient of a functional with geophysical applications: Geophysical Journal International, 167, no. 2, 495–503, https://doi.org/10.1111/j.1365-246X.2006.02978.x.CrossrefWeb of ScienceGoogle Scholar Russell, B. H., 1988, Introduction to seismic inversion methods: SEG, https://doi.org/10.1190/1.9781560802303.AbstractGoogle Scholar Saussus, D., and M. Sams, 2012, Facies as the key to using seismic inversion for modelling reservoir properties: First Break, 30, no. 7, 45–52, https://doi.org/10.3997/1365-2397.2012009.CrossrefGoogle Scholar Zabihi Naeini, E., T. Alkhalifah, I. Tsvankin, N. Kamath, and J. Cheng, 2016, Main components of full-waveform inversion for reservoir characterization: First Break, 34, 37–48.Google Scholar Zabihi Naeini, E., N. Kamath, and I. Tsvankin, 2017, Full waveform inversion for reservoir characterization — A synthetic study: 79th Conference and Exhibition, EAGE, Extended Abstracts, https://doi.org/10.3997/2214-4609.201701246.CrossrefGoogle Scholar Zhang, Z., E. Zabihi Naeini, and T. Alkhalifah, 2017, Facies constrained elastic full waveform inversion: 79th Conference and Exhibition, EAGE, Extended Abstracts, https://doi.org/10.3997/2214-4609.201700719.CrossrefGoogle Scholar