Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Integration of Data Assimilation Techniques in Geomechanical Modelling: Ensemble Smoother with Multiple Data Assimilation Analysis
The use of Data Assimilation (DA) techniques is receiving an increasing interest in geomechanical applications, with the aim to assess and reduce uncertainties associated to numerical outcomes by model constrain with available measurements. In geomechanical simulations, ensemble-based DA approaches are usually preferred. Among such techniques, Ensemble Smoother with Multiple Data Assimilation (MDA-ES) is usually recognized to improve the outcomes in nonlinear problems, but its use and parameter definition is still object of research. In this paper, MDA-ES has been tested in a synthetic case study dealing with the prediction of land subsidence above a producing hydrocarbon reservoir. Its effectiveness has been investigated varying both the DA parametrization and the geomechanical properties.
Integration of Data Assimilation Techniques in Geomechanical Modelling: Ensemble Smoother with Multiple Data Assimilation Analysis
The use of Data Assimilation (DA) techniques is receiving an increasing interest in geomechanical applications, with the aim to assess and reduce uncertainties associated to numerical outcomes by model constrain with available measurements. In geomechanical simulations, ensemble-based DA approaches are usually preferred. Among such techniques, Ensemble Smoother with Multiple Data Assimilation (MDA-ES) is usually recognized to improve the outcomes in nonlinear problems, but its use and parameter definition is still object of research. In this paper, MDA-ES has been tested in a synthetic case study dealing with the prediction of land subsidence above a producing hydrocarbon reservoir. Its effectiveness has been investigated varying both the DA parametrization and the geomechanical properties.
Integration of Data Assimilation Techniques in Geomechanical Modelling: Ensemble Smoother with Multiple Data Assimilation Analysis
Lecture Notes in Civil Engineering
Barla, Marco (Herausgeber:in) / Di Donna, Alice (Herausgeber:in) / Sterpi, Donatella (Herausgeber:in) / Gazzola, Laura (Autor:in) / Ferronato, Massimiliano (Autor:in) / Frigo, Matteo (Autor:in) / Teatini, Pietro (Autor:in) / Zoccarato, Claudia (Autor:in)
International Conference of the International Association for Computer Methods and Advances in Geomechanics ; 2021 ; Turin, Italy
15.01.2021
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
An adaptive Gaussian process-based iterative ensemble smoother for data assimilation
| British Library Online Contents | 2018
Surrogate model based iterative ensemble smoother for subsurface flow data assimilation
| British Library Online Contents | 2017
An adaptive Gaussian process-based iterative ensemble smoother for data assimilation
| British Library Online Contents | 2018
An adaptive Gaussian process-based iterative ensemble smoother for data assimilation
| British Library Online Contents | 2018
Ensemble member generation for sequential data assimilation
| Online Contents | 2008