Affiliation:
1. Geoelectromagnetic Research Centre of the Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Troitsk, Moskovskaya obl., 108840, Russia
Abstract
Abstract
—Possibilities to construct the sections of thermal conductivity, specific heat capacity, as well as heat flow density at the surface, using electromagnetic sounding data and laboratory measurements on core samples, have been studied. It has been shown that the neural network prediction of thermophysical properties from electromagnetic sounding data and laboratory measurements enables estimating these properties not only below boreholes but also in the interwell space, with relative accuracy around 6–10%. Sections of “dry” and “wet” thermal conductivity, specific heat capacity and a profile of the heat flow density at the surface of the study area, along magnetotelluric sounding profile, have been built.
Reference61 articles.
1. Temperature-depth curves and heat flow in central part of Anatolia, Turkey;Balkan-Pazvantoğlu;Tectonophysics,2019
2. Modelling of effective thermal conductivity: A comparison of artificial neural networks and theoretical models;Bhoopal;Adv. Eng. Appl. Sci. Int. J.,2015
3. A new model to determine the thermal conductivity of fine-grained soils;Bi;Int. J. Heat Mass Transfer,2018
4. Thermal conductivity characterization of three geological formations by the implementation of geophysical methods;Blázquez;Geothermics,2018
5. Estimating thermal conductivity in sedimentary basins using lithologic data and geophysical well logs;Brigaud;AAPG Bull.,1990
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