3D Numerical Modelling Combined with a Stochastic Approach in a MATLAB-based Tool to Assess Deep Geothermal Potential in Catalonia: the Case Study of the Reus-Valls Basin
Ignasi HERMS, Guillem PIRIS, Montse COLOMER, Charlotte PEIGNEY, Albert GRIERA, Juanjo LEDO
[Institut Cartografic i Geologic de Catalunya, Spain]
This paper presents the test phase results of a new Matlab script to evaluate deep geothermal resources from 3D voxel-based geologic models which considers the USGS volumetric ‘heat in place’ method combined with Monte Carlo simulations. The case test study is located in the Reus-Valls basin (Catalan Coastal Range, NE Iberian, Spain), a rift basin formed during Cenozoic opening of the Western-Mediterranean. According to previous studies, the selected area has high potential to develop deep geothermal projects. In this sense, the area has been selected to test the workflow presented in this paper which has the aim to easy assessing deep geothermal resources in a friendly way by combining 3D modelling techniques and stochastic approaches. Firstly, a 3D implicit geological model combined with a full gravity/magnetic litho-constrained stochastic geophysical inversion analysis was built using 3DGeoModeller software (©BRGM, Intrepid-Geophysics). Secondly, a steady state, 3D conductive heat flow model applying a heat uncertainty analysis of the basin was developed to estimate the probable temperatures in place at one of the main hot sedimentary aquifers. Finally, through a new Matlab script that works firstly by the outputs from 3D voxel-based models and by applying the heat in place method combined with Monte Carlo simulations, has allowed to quantify the geothermal resource base and produce different maps of the in terms of P10, P50 and P90 of probability (in PTJ/km2).
|        Topic: Resource Assessment||Paper Number: 16023|