Notebooks on production optimisation and history matching

Ensemble-based history matching method with latent-space proxy model for nonlinear forward model and non-Gaussian models.

Data Assimilation in Python for teaching purposes

Toy petroleum reservoir simulator using TPFA

通过 python 脚本同步 tmdb 与 trakt 的评分数据 / synchronize rating data between tmdb and trakt via python script

Emulation and History matching for process-based climate model tuning

Joint parameterization and direct history-matching method for engineering systems. LSI simultaneously extracts salient spatial and temporal features for direct inversion. Exploration of meaningful latent spaces allows rapid generation of ensemble of relevant inversion solutions.

Gradient-based history matching with high-fidelity models and reduced latent-space representations.

Implementation and demo for "Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios" by Mohd-Razak and Jafarpour (2020) as published in Computational Geosciences.

Implementation and demo for "Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios" by Mohd-Razak and Jafarpour (2020) as published in Computational Geosciences.