
Roberto MieleTechnical University of Lisbon | UTL · Centre for Natural Resources and Environment (CERENA)
Roberto Miele
Master of Science
PhD student at CERENA | Instituto Superior Técnico - ULisboa
About
5
Publications
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Introduction
MSc in Geology and Land Management (University of Bologna), Roberto is currently a PhD student at the Instituto Superior Técnico and member of CERENA's Energy Research Group. His research activity is mainly focused on rock physics modelling and geostatistical methods applied to seismic inversion.
Additional affiliations
September 2019 - March 2020
Education
September 2015 - July 2018
September 2012 - September 2015
Publications
Publications (5)
The Danish subsurface provides a large potential for the use of low-enthalpy geothermal heat and thereby to change the national district heating structure by providing a base load to the system. In the past decade, new exploration and research campaigns have been performed to remove geological, technical and commercial obstacles for a significant u...
Lake Garda, the largest lake in Italy at the southern front of the central Alps, provides a unique opportunity to reconstruct Quaternary geological processes related to the interplay between deglaciation driven sedimentation and tectonic activity. In fact, the topographic depression presently occupied by the lake was site of a major glacial tongue...
Understanding the thermal behaviour of non‐steady state subsurface geosystems, when temperature changes over time, requires knowledge on the speed of heat propagation and, thus, of the rock's thermal diffusivity as essential thermo‐physical parameter. Mixing models are commonly used to describe thermo‐physical properties of polymineralic rocks. A t...
Geostatistical seismic rock physics amplitude-versus-angle (AVA) inversion allows the joint prediction of rock and fluid properties from seismic reflection data. In these seismic inversion methods, the model perturbation and update occur iteratively in the petrophysical domain. A facies-dependent pre-calibrated rock physics model is applied to the...
Accurate predictions of the spatial distribution of permeability in the subsurface is fundamental in reservoir characterization for several tasks (e.g., CO2 injection and storage monitoring or natural resources characterization). Nonetheless, modelling permeability is particularly challenging, due to its strong variability, spatial anisotropy and d...
Projects
Project (1)
We measure thermal conductivity and thermal diffusivity of sedimentary, metamorphic and magmatic rock samples at ambient conditions. These data can be used in geothermal subsurface models, for geothermal resources assessment as well as in the evaluation of geothermal reservoir performance.