Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maria Carolina Dacome"'
Autor:
Pietro Teatini, Laura Gazzola, Massimo Antonelli, Matteo Frigo, Carlo Janna, Claudia Zoccarato, Stefano Mantica, Anna Corradi, Massimiliano Ferronato, Maria Carolina Dacome
Publikováno v:
Computational Geosciences. 25:1731-1750
Anthropogenic land subsidence can be evaluated and predicted by numerical models, which are often built over deterministic analyses. However, uncertainties and approximations are present, as in any other modeling activity of real-world phenomena. Thi
Autor:
Massimiliano Ferronato, Matteo Frigo, Laura Gazzola, Claudia Zoccarato, Stefano Mantica, Pietro Teatini, Maria Carolina Dacome, Anna Corradi, Massimo Antonelli, Michela De Simoni
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 382, Pp 449-455 (2020)
The numerical prediction of land subsidence above producing reservoirs can be affected by a number of uncertainties, related for instance to the deep rock constitutive behavior, geomechanical properties, boundary and forcing conditions, etc. The qual
Autor:
Maria Carolina Dacome, Stefano Mantica, Anna Corradi, Ernesto Della Rossa, Laura Gazzola, Claudia Zoccarato, Matteo Frigo, Massimiliano Ferronato, Pietro Teatini, Michela De Simoni
Publikováno v:
Proceedings of the International Association of Hydrological Sciences, Vol 382, Pp 457-462 (2020)
The use of numerical models for land subsidence prediction above producing hydrocarbon reservoirs has become a common and well-established practice since the early '90s. Usually, uncertainties in the deep rock behavior, which can affect the forecast
Autor:
Claudia Zoccarato, Matteo Frigo, Maria Carolina Dacome, Carlo Janna, Anna Corradi, Massimiliano Ferronato, Laura Gazzola, Pietro Teatini, Massimo Antonelli, Stefano Mantica
Publikováno v:
Computational Geosciences. 25:1751-1751