All Outputs (4)

Bayes linear analysis of risks in sequential optimal design problems (2018)
Journal Article
Jones, M., Goldstein, M., Jonathan, P., & Randell, D. (2018). Bayes linear analysis of risks in sequential optimal design problems. Electronic Journal of Statistics, 12(2), 4002-4031. https://doi.org/10.1214/18-ejs1496

In a statistical or physical model, it is often the case that a set of design inputs must be selected in order to perform an experiment to collect data with which to update beliefs about a set of model parameters; frequently, the model also depends o... Read More about Bayes linear analysis of risks in sequential optimal design problems.

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.

Emulation of reservoir production forecast considering variation in petrophysical properties (2018)
Journal Article
Moreno, R., Avansi, G., Schiozer, D., Vernon, I., Goldstein, M., & Caiado, C. (2018). Emulation of reservoir production forecast considering variation in petrophysical properties. Journal of Petroleum Science and Engineering, 165, 711-725. https://doi.org/10.1016/j.petrol.2018.02.056

Implementation of proxy models, such as emulators might reduce the computational time required in a variety of reservoir simulation studies. By definition, an emulator uses reservoir properties as input parameters in a statistical model constructed f... Read More about Emulation of reservoir production forecast considering variation in petrophysical properties.

Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters (2018)
Journal Article
Harvey, N. J., Huntley, N., Dacre, H. F., Goldstein, M., Thomson, D., & Webster, H. (2018). Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters. Natural Hazards and Earth System Sciences, 18(1), 41-63. https://doi.org/10.5194/nhess-18-41-2018

Following the disruption to European airspace caused by the eruption of Eyjafjallajökull in 2010 there has been a move towards producing quantitative predictions of volcanic ash concentration using volcanic ash transport and dispersion simulators. Ho... Read More about Multi-level emulation of a volcanic ash transport and dispersion model to quantify sensitivity to uncertain parameters.