Generative adversarial network as a stochastic subsurface model reconstruction

Author:

Azevedo LeonardoORCID,Paneiro GustavoORCID,Santos Arthur,Soares AmilcarORCID

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computers in Earth Sciences,Computer Science Applications

Reference37 articles.

1. Arjovsky, M., Bottou, L.: Towards principled methods for training generative adversarial networks. (2017). arXiv:1701.04862v1 [stat.ML]

2. Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. Proceedings of the 34th international conference on machine learning. PMLR. 70, 214–223 (2017)

3. Arpat, G., Caers, J.: Conditional simulation with patterns. Math. Geol. 39(2), 177–203 (2007). https://doi.org/10.1007/s11004-006-9075-3

4. Azevedo, L., Soares, A.: Geostatistical Methods for Reservoir Geophysics. Springer International Publishing (2017)

5. Barnett, S.A.: Convergence Problems with Generative Adversarial Networks. A dissertation presented for CCD Dissertations on a Mathematical Topic. Mathematical Institute. University of Oxford (2018). arXiv:1806.11382 [cs.LG]

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