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Here, we only present the original modeled temperature distribution, i.e., that generated using the mean thermal conductivity (Table 1) and a basal heat flow of 78.44 mW/m2 (Table 2).
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Fig. 10 Temperature-at-depth maps for the entire onshore Northwest Java Basin region extracted from the 3-D conductive temperature distribution that is modeled using the mean formation thermal conductivities and a basal heat flow value of 78.44 mW m−2.
The lithology and their mean thermal conductivities are also superimposed on the temperature cross sections Fig. 12 Map showing the predicted surface HFD distribution of the onshore Northwest Java Basin, computed from the three-dimensional conductive temperature distribution that is modeled using the mean formation thermal conductivities and a basal heat flow value of 78.44 mW m−2.
The geological structures are overlain on the maps Fig. 11 Cross sections extracted from the 3-D conductive temperature distribution that is modeled using the mean formation thermal conductivities and a basal heat flow value of 78.44 mW m−2, running through profile lines A A′ (a) and B B′ (b) (see Fig. 8a for the location of profile lines).
The mean thermal efficiency enhancement by the use of nanofluids it is found close to 2.5%.
The aim of this study was to compare measurements of ITBV and EVLW volume made by using the indocyanine green-thermal (ICG-thermal), lithium-thermal (Li-thermal), and single-thermal indicator dilution techniques in patients after elective cardiac surgery with cardiopulmonary bypass.
PCR was performed using the touchdown thermal profile described earlier.
We used mean thermal conductivity data determined in this study, for the shallow sedimentary formations (Alluvial, Barzaman Fm., Ma'am reef sequence, Seeb Fm).
All thermal scans were acquired using the thermal functions of two Insight Subluxation Stations® software version 7.05.
Cantilever elastic constants were obtained using the thermal noise method.
Actual spring constants were determined using the thermal calibration method.
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