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F. Bottazzi

Researcher at Eni

Publications -  10
Citations -  232

F. Bottazzi is an academic researcher from Eni. The author has contributed to research in topics: Pore water pressure & Natural gas field. The author has an hindex of 5, co-authored 10 publications receiving 177 citations.

Papers
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Geomechanical response to seasonal gas storage in depleted reservoirs: A case study in the Po River basin, Italy

TL;DR: In this article, the authors present a methodology to evaluate the environmental impact of underground gas storage and sequestration from a geomechanical perspective, particularly in relation to the ground surface displacements.
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Reservoir characterization in an underground gas storage field using joint inversion of flow and geodetic data

TL;DR: In this article, a coupled simulation tool for joint inversion of reservoir properties is presented, which is used to estimate porosity, permeability, and pore compressibility of natural gas storage and production.

Reservoir Characterization in an Underground Gas Storage Field Using Joint Inversion of Flow and Geodetic Data

TL;DR: In this paper, a coupled simulation tool for joint inversion of reservoir properties is presented, which is used to estimate porosity, permeability, and pore compressibility of natural gas storage and production.
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A process-based approach to understanding and managing triggered seismicity

TL;DR: In this article, a multidisciplinary methodology for managing triggered seismicity using comprehensive and detailed information about the subsurface to calibrate geomechanical and earthquake source physics models is presented.
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On the importance of the heterogeneity assumption in the characterization of reservoir geomechanical properties

TL;DR: In this article, a geomechanical analysis of a highly compartmentalized reservoir is performed to simulate the seafloor subsidence due to gas production, and the method applied here relies on an ensemble-based data assimilation (DA) algorithm (i.e. the ensemble smoother, ES), which incorporates the information from the bathymetric measurements into the model response to infer and reduce the uncertainty of the parameters.