All Outputs (3)

Accounting for Model Discrepancy in Uncertainty Analysis by Combining Numerical Simulation and Bayesian Emulation Techniques (2020)
Conference Proceeding
Formentin, H. N., Vernon, I., Goldstein, M., Caiado, C., Avansi, G., & Schiozer, D. (2020). Accounting for Model Discrepancy in Uncertainty Analysis by Combining Numerical Simulation and Bayesian Emulation Techniques. . https://doi.org/10.3997/2214-4609.202035095

Model discrepancy specifies unavoidable differences between a physical system and its corresponding computer model. Incomplete information, simplifications and lack of knowledge about the physical state originate model discrepancy. Misevaluation of m... Read More about Accounting for Model Discrepancy in Uncertainty Analysis by Combining Numerical Simulation and Bayesian Emulation Techniques.

Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data (2018)
Conference Proceeding
Ferreira, C., Avansi, G., Vernon, I., Schiozer, D., & Goldstein, M. (2018). Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data. . https://doi.org/10.3997/2214-4609.201802145

Oil and gas companies use reservoir simulation models for production forecasting and for business and technical decisions at the various stages of field management. The size and complexity of the reservoirs often requires reservoir models with a high... Read More about Evaluation of Regions of Influence for Dimensionality Reduction in Emulation of Production Data.

Matching hydrocarbon reservoir history - a Bayes linear approach (1995)
Conference Proceeding
Craig, P., Smith, J., Goldstein, M., & Seheult, A. (1995). Matching hydrocarbon reservoir history - a Bayes linear approach.