Deep convolutional generative adversarial networks to build reservoir models.
• Efficient exploration of uncertainty through the latent space manifold
• Precise well data conditioning and
complicated architectures.
• Started work on model QC, and production data / history matching.
Work by Honggeun Jo (supervised by Pyrcz).
Machine learning-based subsurface models with generative adversarial networks.
• provides a limited set of latent random vatriables to explore the model space.
Machine learning-based subsurface models have excellent reproduction of the input heterogeneity
