caa a22 4500 467922527 CHVBK 20180406152920.0 cr unu---uuuuu 170328e20060101xx s 000 0 eng 10.1007/s00477-005-0244-6 doi (NATIONALLICENCE)springer-10.1007/s00477-005-0244-6 A BME solution of the stochastic three-dimensional Laplace equation representing a geothermal field subject to site-specific information [Elektronische Daten] [George Papantonopoulos, Konstantinos Modis] This work develops a model of the geothermal field in the Nea Kessani region (Greece) by means of the Bayesian maximum entropy (BME) method, which describes the temperature variations across space in the underground geological formations. The geothermal field is formed by a thermal reservoir consisting of arcosic sandstones. The temperature distribution vs depth was first investigated by the Greek Institute of Geology and Mineral Exploration (IGME) using measurements in a set of vertical drill holes. These measurements showed that hot fluids rising from the deep enter the reservoir in a restricted area of the field and flow towards local thermal springs. The field modelling, which was based on the powerful BME concept, involves the solution of a stochastic partial differential equation that assimilates important site-specific information. The stochastic three-dimensional steady-state Laplace equation was considered as general knowledge and the drilling exploration data were used to construct the specificatory knowledge base in the BME terminology. The produced map is more informative and, in general, it gives higher temperature estimates compared to previous studies of the same region. This is also in agreement with the quartz geothermometry analysis carried out by IGME. Springer-Verlag, 2005 BME nationallicence Stochastic nationallicence Geothermal nationallicence Underground water nationallicence Papantonopoulos George School of Mining and Metallurgical Engineering, National Technical University of Athens, Athens, Greece aut Modis Konstantinos School of Mining and Metallurgical Engineering, National Technical University of Athens, Athens, Greece aut Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/1-2(2006-01-01), 23-32 1436-3240 20:1-2<23 2006 20 477 https://doi.org/10.1007/s00477-005-0244-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00477-005-0244-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Papantonopoulos George School of Mining and Metallurgical Engineering, National Technical University of Athens, Athens, Greece aut NATIONALLICENCE 700 1- Modis Konstantinos School of Mining and Metallurgical Engineering, National Technical University of Athens, Athens, Greece aut NATIONALLICENCE 773 0- Stochastic Environmental Research and Risk Assessment Springer-Verlag 20/1-2(2006-01-01), 23-32 1436-3240 20:1-2<23 2006 20 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer