Thermophysical Properties of Porous Sandstones: Measurements and Comparative Study of Some Representative Thermal Conductivity Models

Maqsood, Asghari; Kamran, Kashif

doi:10.1007/s10765-005-8108-3

Cited by 22 publications

(4 citation statements)

References 23 publications

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“…Thermal properties of rocks are controlled by two sets of parameters, external parameters like pore fluid saturation, temperature and pressure, and internal parameters like mineral composition, pore volume and structures. In addition, density is present in the formulation of all the thermal parameters, and it is mostly controlled by two parameters, the mineral composition and the pore volume (McKenna et al, 1996;Maqsood and Kamran, 2005).…”

Section: Introductionmentioning

confidence: 99%

Impacts of pore- and petro-fabrics, mineral composition and diagenetic history on the bulk thermal conductivity of sandstones

Nabawy

Géraud

2016

Journal of African Earth Sciences

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The present study aims to model the bulk thermal fabric of the highly porous (26.5 øHesiliceous Nubia sandstones in south Egypt, as well as their pore-and petroanisotropy. The thermal fabric concept is used in the present study to describe the magnitude and direction of the thermal foliation 'F', lineation 'L' and anisotropy 'l'. Cementation, pressure solution, compaction and the authigenic clay content are the main pore volume-controlling factors, whereas the cement dissolution and fracturing are the most important porosity-enhancing factors.The bulk thermal fabric of the Nubia sandstone is raised mostly from the contribution of the mineral composition and the pore volume. The kaolinite content and pore volume are the main reducing factors for the measured bulk thermal conductivity 'k', whereas the quartz content is the most important enhancing factors. The optical scanning technique, which is one of the most accurate and precise techniques, was applied for measuring the bulk thermal conductivity 'k' of the studied samples. For the dry state, the average thermal condutivity 'kav' in the NEeSW, NWeSE and vertical directions, varies from 1.53 to 2.40, 1.54 to 2.36 and from 1.31 to 2.20 W/(mK), respectively. On other hand, 'kav' for the saline water-saturated state for the NEeSW, NWeSE and vertical directions varies between 2. 94 & 4.42, 2.90 & 4.31 and between 2.39 & 3.65 W/(mK), respectively. The present thermal pore fabric is slightly anisotropic, 'l' varies from 1.10 to 1.41, refers mostly to the NWeSE direction (kmax direction, elongation direction), whereas the petro-fabric refers to NEeSW di-rection (kmax direction, elongation direction). This gives rise to a conclusion that the pore-and petro-fabrics have two different origins. Therefore, studying the thermal conductivity of the Nubia sandstone in 3-D indicates a pore fabric elongation fluctuating around the NeS direction.

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Section: Introductionmentioning

confidence: 99%

Impacts of pore- and petro-fabrics, mineral composition and diagenetic history on the bulk thermal conductivity of sandstones

Nabawy

Géraud

2016

Journal of African Earth Sciences

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“…The Weber/Tensleep Formation in the Rock Springs Uplift in Wyoming is approximately 200 m thick and occurs at depths of 3400-3600 m. For the TH model, layering was simplified from the Rock Springs Uplift well-log interpretations of density porosity, and yields porosities ranging from 0.03 to 0.10 and permeabilities ranging from 1 to 10 mD. Thermal conductivity, 1.3 W/mK, is taken from literature values (Labus and Labus, 2018;Maqsood and Kamran, 2005;Robertson, 1988). Initial conditions are a brinesaturated formation with a salinity of 107,000 ppm, and hydrostatic pressure and geothermal temperature gradients that yield P ~ 3.5 Mpa and T~94 °C at formation depth.…”

Section: Case Study 1: Weber/tensleep Formationmentioning

confidence: 99%

“…Porosities range from 0.07 to 0.33 and permeabilities range from 0.03 to 423 mD. Thermal conductivity, 2.5 W/mK, is taken from literature values (Labus and Labus, 2018;Maqsood and Kamran, 2005;Robertson, 1988). Initial conditions are a brine-saturated formation with a salinity of 155,000 ppm, and hydrostatic pressure and geothermal temperature gradients that yield P ~ 3 MPa and T~126°C at formation depth.…”

Section: Case Study 2: Lower Tuscaloosa Formationmentioning

confidence: 99%

Dynamic Earth Energy Storage: Terawatt-year, Grid-scale Energy Storage Using Planet Earth as a Thermal Battery (GeoTES): Phase I Project (Final Report)

McLing

Dobson

Jin

et al. 2022

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Grid-scale energy storage has been identified by the U.S. Department of Energy's (DOE) Energy Storage Grand Challenge as a necessary technology to support the continued build-out of intermittent renewable energy resources required to attain a carbon-free energy future. To meet this goal, the 2018 Department of Energy Research and Innovation Act mandated the creation of a comprehensive program to accelerate the development and commercialization of next-generation energy storage technologies. One of numerous energy storage technology options is the storage of excess energy as heated geothermal brine in suitable geologic formations. This concept, known as reservoir thermal energy storage (RTES), geologic thermal energy storage (GeoTES), aquifer thermal energy storage (ATES), etc., relies on the storage of thermal energy in geologic formations for recovery and use in large-scale direct use geothermal (e.g., district heating, industrial processes, etc.) and electrical power generation applications. This thermal energy is derived from excess or waste heat from any high-temperature heat source, such as concentrated solar or from conventional thermal/nuclear generation. As such, RTES can potentially play a significant role in meeting the energy storage shortfall in the coming decades. RTES can provide energy arbitrage through both the storage and production of thermal energy stored in geologic formations for direct use applications and can serve as a source of hot fluids that can be used to generate electricity to support peak demand ramping, thus easing stress on transmission and distribution. This energy storage option has geographic benefits in that energy can be stored locally or regionally depending on the various needs/loads. RTES can also be located across an enormous geographic area, without the need for a traditional hydrothermal resource but where thermal gradients and hydrogeology allow economic exploitation of subsurface heat. The work conducted for this project includes (1) a review of lessons learned from past high-temperature RTES international projects; (2) geochemical experimental investigation and numerical simulations of potential domestic sedimentary reservoirs and (3) development of a thermo-hydrological-mechanical (THM) numerical simulation tool for optimizing formation properties and design parameters to maximize thermal energy storage performance. vi

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“…In this model the volumetric ratio and thermal conductivity of components used to predict the thermal conductivity [28,29].…”

Section: Geometric Mean Modelmentioning

confidence: 99%

Mathematical Calculation and Experimental Investigation of Expanded Perlite Based Heat Insulation Materials’ Thermal Conductivity Values

Ağbulut¹

2018

Journal of Thermal Engineering

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Thermal resistance can be increased by using proper heat insulation materials. Traditional heat insulation materials do not stand all desired properties. Thus, developing new heat insulation materials is very important. In this study, expanded perlite based heat insulation material was developed as an alternative to the traditional insulation materials. The composition of the developed material was designed and prepared using the theoretical thermal conductivity prediction models. The prepared material was molded in a rectangular shape panel. Thermal conductivities of panels were measured experimentally and the results were compared with the calculated results. Also, the results showed that the developed panels can be used for heat insulation applications. On the other hand, the closest model to the experimental results is the parallel model whose average deviation is 4.22% while the farthest model is the Cheng and Vachon model whose average deviation is 12.43%. It is obtained that parallel and series models are generally in good agreement with the experimental results. Nevertheless, it is seen some deviations between experimental and theoretical calculation results. The theoretical prediction models do not include any processing conditions such as molding and curing. It is thought that these deviations have originated because of the missing processing parameters in theoretical prediction models. As a result of experimental studies, the lowest thermal conductivity value of expanded perlite based panels was obtained 43.5 mW/m.K. Consequently, the heat transfer coefficient of the panels containing expanded perlite can be calculated nearly by the parallel method.

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Thermophysical Properties of Porous Sandstones: Measurements and Comparative Study of Some Representative Thermal Conductivity Models

Cited by 22 publications

References 23 publications

Impacts of pore- and petro-fabrics, mineral composition and diagenetic history on the bulk thermal conductivity of sandstones

Impacts of pore- and petro-fabrics, mineral composition and diagenetic history on the bulk thermal conductivity of sandstones

Dynamic Earth Energy Storage: Terawatt-year, Grid-scale Energy Storage Using Planet Earth as a Thermal Battery (GeoTES): Phase I Project (Final Report)

Mathematical Calculation and Experimental Investigation of Expanded Perlite Based Heat Insulation Materials’ Thermal Conductivity Values

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