| A novel methodological approach for land subsidence prediction through data assimilation techniques L Gazzola, M Ferronato, M Frigo, C Janna, P Teatini, C Zoccarato, ... Computational Geosciences, 1-20, 2021 | 16 | 2021 |
| A scalable preconditioning framework for stabilized contact mechanics with hydraulically active fractures A Franceschini, L Gazzola, M Ferronato Journal of Computational Physics 463, 111276, 2022 | 11 | 2022 |
| Generalized Polynomial Chaos Expansion for Fast and Accurate Uncertainty Quantification in Geomechanical Modelling C Zoccarato, L Gazzola, M Ferronato, P Teatini Algorithms 13 (7), 156, 2020 | 11 | 2020 |
| Field-scale simulation of geologic carbon sequestration in faulted and fractured natural formations M Cusini, A Franceschini, L Gazzola, T Gazzola, J Huang, FP Hamon, ... Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2022 | 8 | 2022 |
| Reducing uncertainty on land subsidence modeling prediction by a sequential data-integration approach. Application to the Arlua off-shore reservoir in Italy L Gazzola, M Ferronato, P Teatini, C Zoccarato, A Corradi, MC Dacome, ... Geomechanics for Energy and the Environment, 100434, 2023 | 6 | 2023 |
| Uncertainty Quantification and Reduction Through Data Assimilation Approaches for the Geomechanical Modeling of Hydrocarbon Reservoirs L Gazzola, M Ferronato, M Frigo, C Janna, P Teatini, C Zoccarato, ... 53rd US Rock Mechanics/Geomechanics Symposium, 2019 | 6 | 2019 |
| A coupled Mixed Finite Element Biot model for land subsidence prediction in the Beijing area M Ferronato, L Gazzola, N Castelletto, P Teatini, L Zhu Poromechanics VI, 182-189, 2017 | 5 | 2017 |
| On the radioactive marker technique for in-situ compaction measurements: a critical review M Ferronato, M Frigo, L Gazzola, P Teatini, C Zoccarato Proceedings of the International Association of Hydrological Sciences 382, 83-87, 2020 | 3 | 2020 |
| Blending measurements and numerical models: a novel methodological approach for land subsidence prediction with uncertainty quantification L Gazzola, M Ferronato, M Frigo, P Teatini, C Zoccarato, AAI Corradi, ... Proceedings of the International Association of Hydrological Sciences 382 …, 2020 | 2 | 2020 |
| Numerical investigation on a block preconditioning strategy to improve the computational efficiency of DFN models L Gazzola, M Ferronato, S Berrone, S Pieraccini, S Scialo Proceedings of the YIC 2021 - VI ECCOMAS Young Investigators Conference, 2022 | 1 | 2022 |
| Correction to: A novel methodological approach for land subsidence prediction through data assimilation techniques L Gazzola, F Massimiliano, F Matteo, J Carlo, T Pietro, C Zoccarato, ... Computational Geosciences 25 (5), 1751-1751, 2021 | 1 | 2021 |
| A novel methodological approach for land subsidence prediction through data assimilation techniques (July, 10.1007/s10596-021-10062-1, 2021) L Gazzola, M Ferronato, M Frigo, C Janna, P Teatini, C Zoccarato, ... COMPUTATIONAL GEOSCIENCES 25 (5), 1751-1751, 2021 | | 2021 |
| Integration of Data Assimilation Techniques in Geomechanical Modelling: Ensemble Smoother with Multiple Data Assimilation Analysis L Gazzola, M Ferronato, M Frigo, P Teatini, C Zoccarato Challenges and Innovations in Geomechanics: Proceedings of the 16th …, 2021 | | 2021 |
| Numerical simulation of land subsidence above an off-shore Adriatic hydrocarbon reservoir, Italy, by Data Assimilation techniques M Frigo, M Ferronato, L Gazzola, P Teatini, C Zoccarato, M Antonelli, ... Proceedings of the International Association of Hydrological Sciences 382 …, 2020 | | 2020 |
| A surrogate geomechanical model for fast analysis of a post-production hydrocarbon reservoir C Zoccarato, M Ferronato, L Gazzola, P Teatini | | |
| Improving computational efficiency of DFN models by a block preconditioning strategy L Gazzola, M Ferronato, S Berrone, S Pieraccini, S Scialò | | |
