MANAGING UNCERTAINTY IN COMPLEX MODELS

 

 

MCSG

MUCM

 

 

Software

We wish to encourage the sharing of and links to software that may useful to the MUCM Community.

 

If you have any such software or suggestions of links to software to share with the Community, please contact Jeremy Oakley and it will be made available through this page.

 

 

 

 

 

Open TURNS

Open Treatment of Uncertainties, Risk'N Statistics : an open source software for uncertainty quantification and propagation

SimLab

Free software for uncertainty analysis from JRC (EU Commission)

DICE Kriging

R Package: Estimation, validation and prediction of kriging models

DICE Optim

R Package: Kriging-based optimization for computer experiments

DICE MuFiCokriging

R Package: Multi-Fidelity Cokriging models

DICE KrigInv

R Package: Kriging-based Inversion for Deterministic and Noisy Computer Experiments

DAKOTA

A Multilevel Parallel Object-Oriented Framework for: Design Optimization, Parameter Estimation, Uncertainty Quantification & Sensitivity Analysis

QUESO

The QUESO (Quantification of Uncertainty for Estimation, Simulation and Optimization) library is a collection of C++ classes and algorithms to support model validation and the prediction of quantities of interest with uncertainty quantification (UQ) included.

MEPO

A genetic algorigthm based approach to history matching oil field models, providing uncertainty analysis

CHEVRON

Chevron have developed software; one package that uses simple proxy models to determine the area of the parameter space to run genetic algorithm based optimisation using very large clusters so they can run many thousands of simulations in quite short time frames. Various papers published on this in the SPE journals. Anyone interested or would like references of these, please contact Bob Parish of Bayes Tech Ltd