Application of arbitrary polynomial chaos (aPC) expansion for global sensitivity analysis of mineral dissolution and precipitation modeling under geologic carbon storage conditions
DOI10.1007/s10596-020-09953-6zbMath1439.86036OpenAlexW3028591712MaRDI QIDQ2192804
Publication date: 18 August 2020
Published in: Computational Geosciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10596-020-09953-6
global sensitivity analysismineral dissolution and precipitation\(\mathrm{CO_2}\) storage\(\mathrm{SiO_2}\)aPC expansion
Computational methods for problems pertaining to statistics (62-08) Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Geostatistics (86A32) Mathematical modeling or simulation for problems pertaining to geophysics (86-10)
Uses Software
Cites Work
- Variance reduction in Monte Carlo computations using multi-dimensional Hermite polynomials
- Feasibility of CO\(_2\) migration detection using pressure and CO\(_2\) saturation monitoring above an imperfect primary seal of a geologic CO\(_2\) storage formation: a numerical investigation
- Modeling uncertainty in flow simulations via generalized polynomial chaos.
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Application of arbitrary polynomial chaos (aPC) expansion for global sensitivity analysis of mineral dissolution and precipitation modeling under geologic carbon storage conditions
