Thermo-Hydro-Mechanical Coupling in Fractured Rock 2003
DOI: 10.1007/978-3-0348-8083-1_21
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Interrelations Between Thermal Conductivity and Other Physical Properties of Rocks: Experimental Data

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Cited by 34 publications
(31 citation statements)
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“…-Despite the fact that a number of authors have investigated the coupling between parameter relationships such as porosity-permeability, porosity-rock heat conductivity, e.g. [38,41,47], the combined parameter variabilities and their effects on reservoir evolution needs further investigation.…”
Section: Deficiencies and Outlookmentioning
confidence: 98%
See 1 more Smart Citation
“…-Despite the fact that a number of authors have investigated the coupling between parameter relationships such as porosity-permeability, porosity-rock heat conductivity, e.g. [38,41,47], the combined parameter variabilities and their effects on reservoir evolution needs further investigation.…”
Section: Deficiencies and Outlookmentioning
confidence: 98%
“…A number of authors have investigated the coupling between parameters relationships such as relationships of permeability and porosity as well as porosity and rock heat conductivity [38,41,47].…”
Section: Assumptionsmentioning
confidence: 99%
“…The estimate assumes that conduction is the only heat transport mechanism through the solid crust, that lateral conduction can be neglected compared to vertical conduction, and that heat transport in the magma is fast compared to heat conduction through the overlying crust. A thermal conductivity of 2.0 Wm-'K-' (sce England &Thompson 1984;Thompson 1999;Popov et al 2003), a melting enthalpy of granite of 300 kJkg-' (Patiiio Douce et al 1990) and a density of 2.7.10' kgm-' are used. The intrusion level is set to 10 km and the crystallizing granite is taken to be 4 km thick occurring in a crust with a total thickness of 35 kni.…”
Section: Cooling Mid Cilterntioirmentioning
confidence: 99%
“…They sum up that there is no general trend for correlations between thermal conductivity and other petrophysical properties and data scatter. An article by Popov et al (2003) gives an overview over some correlations for various rock types. They divided the rocks in 6 collections from different silt-sandstones, to limestone and cores from the scientific well "Nördlingen 1973" with granites, gneiss and amphibolite.…”
Section: Introductionmentioning
confidence: 99%