Publications

Thesis

Fang, Z. (2018). Source estimation and uncertainty quantification for wave-equation based seismic imaging and inversion (Doctoral dissertation, University of British Columbia). [link]

Journal paper

1. Fang, Z., Fang, H., & Demanet, L. (2020). Deep generator priors for Bayesian seismic inversion. Advances in Geophysics 61, 179-216. [link]

2. Yang, M., Fang, Z., Witte, P., & Herrmann, F. J. (2020). Time-domain sparsity promoting least-squares reverse time migration with source estimation. Geophysical prospecting, 68(9), 2697-2711. [link]

3. Fang, Z. & Demanet, L. (2020). Lift and Relax for PDE-constrained inverse problems in seismic imaging, accepted by IEEE transactions on geosciences and remote sensing. [link]

4. Fang, Z., Wang, R., & Herrmann, F. J. (2018). Source estimation for wavefield-reconstruction inversion. Geophysics, 83(4), R345-R359. [link]

5. Fang, Z., Da Silva, C., Kuske, R., & Herrmann, F. J. (2018). Uncertainty quantification for inverse problems with weak partial-differential-equation constraints. Geophysics, 83(6), R629-R647.[link]

6. Fang, Z., & Yang, D. (2015). Inversion of reservoir porosity, saturation, and permeability based on a robust hybrid genetic algorithmInversion of reservoir parameters. Geophysics, 80(5), R265-R280. [link]

Conferences

1. Fang, Z., Fang, H., & Demanet, L. (2020). Quality control of deep generator priors for statistical seismic inverse problems. SEG Technical Program Expanded Abstracts 2020, 1715-1719. [link]

2. Fang, Z. & Demanet, L. (2020). Lift and Relax for waveform inversion. SEG Technical Program Expanded Abstracts 2020, 785-789.[link]

3. Fang, Z., Da Silva, C., Kuske, R., & Herrmann, F. J. (2017). Uncertainty quantification for inverse problems with a weak wave-equation constraint. In WAVES 2017 –- 13th International Conference on Mathematical and Numerical Aspects of Wave Propagation. [link]

4. Fang, Z., Da Silva, C., & Herrmann, F. J. (2017). An efficient penalty method for PDE-constrained optimization problem with source estimation and stochastic optimization. In Applied Inverse Problems Annual Conference Proceedings 2017. [link]

5. Yang, M., Witte, P., Fang, Z., & Herrmann, F. (2016, January). Time-domain sparsity-promoting least-squares migration with source estimation: 86th Annual International Meeting. In 2016 SEG , Expanded Abstracts (pp. 4225-4229). [link]

6. Fang, Z., Lee, C. Y., Da Silva, C., Herrmann, F. J., & van Leeuwen, T. (2016). Uncertainty quantification for wavefield reconstruction inversion using a PDE-free semidefinite Hessian and randomize-then-optimize method: 86th Annual International Meeting. In 2016 SEG, Expanded Abstracts (pp. 1390-1394). [link]

7. Chai, X., Yang, M., Witte, PA, Wang, R., Fang, Z., & Herrmann, F. J. (2016). A linearized Bregman method for sparsity-promoting full-waveform inversion. 86th Annual International Meeting. In 2016 SEG , Expanded Abstracts (pp. 1449-1454). [link]

8. Fang, Z., & Herrmann, F. (2015, June). Source estimation for wavefield reconstruction inversion. In 77th EAGE Conference and Exhibition 2015 (Vol. 2015, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. [link]

9. Fang, Z., Lee, C. Y., Da Silva, C., Herrmann, F., and Kuske, R., 2015, Uncertainty quantification for Wavefield Reconstruction Inversion, 77th EAGE Conference and Exhibition 2015. [link]

10. Fang, Z., Herrmann, F. J., & Silva, C. D. (2014, June). Fast uncertainty quantification for 2D full-waveform inversion with randomized source subsampling. In 76th EAGE Conference and Exhibition 2014 (Vol. 2014, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. [link]

11. Lago, R. L., Petrenko, A. P., Fang, Z. F., & Herrmann, F. H. (2014, June). Fast solution of time-harmonic wave equation for full-waveform inversion. In 76th EAGE Conference and Exhibition 2014 (Vol. 2014, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. [link]

12. Fang, Z., and Yang, D., 2010, Inversion algorithm of reservoir parameters based on the BISQ model in partially saturated porous media: a hybrid method combining annealing algorithm and improved genetic algorithm, The Chinese Geophysics 2010, pp 569.