Functional error modeling for uncertainty 1 quantification in hydrogeology

Uncertainty Quantification in Computational Structural Dynamics: a New Paradigm for Model Validation

*Structural Dynamics Dept., Org. 9234 †Aerosciences Dept., Org. 9115 ‡Statistics and Human Factors Dept., Org. 12323 **Statistics and Human Factors Dept., Org. 12323 ABSTRACT. We present an overview of new research efforts underway at Sandia National Laboratories to understand the sources of uncertainty and error in computational structural dynamics and other physics simulations, and to quantif...

Functional derivatives for uncertainty quantification and error estimation and reduction via optimal high-fidelity simulations

One of the most fundamental challenges in predictive modeling and simulation involving materials is quantifying and minimizing the errors that originate from the use of approximate constitutive laws (with uncertain parameters and/or model form). We propose to use functional derivatives of the quantity of interest (QoI) with respect to the input constitutive laws to quantify how the QoI depends ...

Performance Metrics , Error Modeling , and Uncertainty Quantification 3 4

 The Quantification of Uncertainties in Production Prediction Using Integrated Statistical and Neural Network Approaches: An Iranian Gas Field Case Study

Uncertainty in production prediction has been subject to numerous investigations. Geological and reservoir engineering data comprise a huge number of data entries to the simulation models. Thus, uncertainty of these data can largely affect the reliability of the simulation model. Due to these reasons, it is worthy to present the desired quantity with a probability distribution instead of a sing...

Modeling Critical Flow through Choke for a Gas-condensate Reservoir Based on Drill Stem Test Data

Gas-condensate reservoirs contain hydrocarbon fluids with characteristics between oil and gas reservoirs and a high gas-liquid ratio. Due to the large gas-liquid ratio, wellhead choke calculations using the empirical equations such as Gilbert may contain considerable error. In this study, using drill stem test (DST) data of a gas-condensate reservoir, coefficients of Gilbert equation was modifi...