Coupling time-lapse monitoring by satellite data and numerical geomechanical models
for reservoir management
L. Gazzola, M. Ferronato, M. Frigo, C. Janna, P. Teatini, C. Zoccarato
Dept. of Civil, Environmental and Architectural Engineering, University of Padova, Italy
M. Antonelli, A. Corradi, M. C. Dacome and S. Mantica
Eni S.p.A., Italy
ABSTRACT
The use of numerical models in geomechanics implicitly assumes a number of
approximations and uncertainties, even
though they are usually regarded as deterministic tools. Simplifications in the
constitutive law, uncertainties in geomechanical
parameters values, imposition of boundary conditions are only few examples of the
probabilistic factors that affect the modelling
process of natural phenomena. Integration of Data Assimilation (DA) techniques
in the modelling processing chain can improve the
outcome accuracy and reliability by incorporating the available observation data.
In this work, three different DA techniques have
been integrated into a geomechanical reservoir model with the aim at improving
land subsidence prediction over producing
hydrocarbon fields. A synthetic test case has been analyzed demonstrating that
the proposed approach could be a promising tool to
improve the effectiveness and reliability of geomechanical reservoir models.
