1. Alpak, F. O., Jennings, J. W., Gelderblom, P., Chen, C., Gao, G., & Du, K. (2017). A direct overparameterize and optimize method for stratigraphically consistent assisted history matching of object-based geomodels: Algorithm and field application. SPE Journal, 22(04), 1–280.
2. Arjovsky, M., Chintala, S., & Bottou, L. (2017). Wasserstein generative adversarial networks. In ICML’17 Proceedings of the 34th International Conference on Machine Learning, (vol. 70, pp. 214–223).
3. Asher, M. J., Croke, B. F., Jakeman, A. J., & Peeters, L. J. (2015). A review of surrogate models and their application to groundwater modeling. Water Resources Research, 51(8), 5957–5973.
4. Boisvert, J. B., & Pyrcz, M. J. (2014). Conditioning 3D object based models to a large number of wells: A channel example. Mathematics of Planet Earth. https://doi.org/10.1007/978-3-642-32408-6_126.
5. Boisvert, J. B., Pyrcz, M. J., & Deutsch, C. V. (2006). Choosing training models and checking realizations with multiple point statistics (p. 8). NO: Centre for Computational Geostatistics.