Quantification of Reservoir Fluid Prediction Uncertainty Using AVO Fluid Inversion (AFI)

Quantification of Uncertainty in Computational Fluid Dynamics

This review covers Verification, Validation, Confirmation and related subjects for computational fluid dynamics (CFD), including error taxonomies, error estimation and banding, convergence rates, surrogate estimators, nonlinear dynamics, and error estimation for grid adaptation vs Quantification of Uncertainty.

Uncertainty Quantification Techniques for Fluid- Flow Problems

Optimization and design in the presence of uncertain operating conditions, material properties and manufacturing tolerances poses a tremendous challenge to the scientific computing community. In many industry-relevant situations the performance metrics depend in a complex, non-linear fashion on those factors and the construction of an accurate representation of this relationship is difficult. I...

Uncertainty Quantification in Computational Fluid Dynamics

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Phase Behavior Cur Of Reservoir Fluid

Quantification of uncertainty for fluid flow in heterogeneous petroleum reservoirs

Detailed description of the heterogeneity of oil/gas reservoirs is needed to make performance predictions of oil/gas recovery. However, only limited measurements at a few locations are usually available. This combination of significant spatial heterogeneity with incomplete information about it leads to uncertainty about the values of reservoir properties and thus, to uncertainty in estimates of...