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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Integration of Data Assimilation Techniques in Geomechanical Modelling: Ensemble Smoother with Multiple Data Assimilation Analysis
verfasst von : Laura Gazzola, Massimiliano Ferronato, Matteo Frigo, Pietro Teatini, Claudia Zoccarato
Erschienen in: Challenges and Innovations in Geomechanics
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Abstract
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.