Refine
Has Fulltext
- no (5)
Document Type
- Article (5)
Language
- English (5)
Is part of the Bibliography
- yes (5)
Keywords
- formation damage (2)
- geothermal energy (2)
- phreeqc (2)
- radial flow (2)
- reactive transport (2)
- Crystal nucleation (1)
- Fracture sealing (1)
- Geochemical modelling (1)
- Geothermal (1)
- PHREEQC (1)
Institute
The computational costs associated with coupled reactive transport simulations are mostly due to the chemical subsystem: replacing it with a pre-trained statistical surrogate is a promising strategy to achieve decisive speedups at the price of small accuracy losses and thus to extend the scale of problems which can be handled. We introduce a hierarchical coupling scheme in which "full-physics" equation-based geochemical simulations are partially replaced by surrogates. Errors in mass balance resulting from multivariate surrogate predictions effectively assess the accuracy of multivariate regressions at runtime: inaccurate surrogate predictions are rejected and the more expensive equation-based simulations are run instead. Gradient boosting regressors such as XGBoost, not requiring data standardization and being able to handle Tweedie distributions, proved to be a suitable emulator. Finally, we devise a surrogate approach based on geochemical knowledge, which overcomes the issue of robustness when encountering previously unseen data and which can serve as a basis for further development of hybrid physics-AI modelling.