Research on the anisotropy of thermal conductivity of rocks in Songliao basin, China

Wu, Shaoen; Yu, Ziwang; Kang, Jianguo; Zhang, Yanjun; Gao, Ping

doi:10.1016/j.renene.2021.06.113

Cited by 18 publications

(6 citation statements)

References 9 publications

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“…From the above mineral composition analysis, it can be seen that when the mineral content of the two rocks is not much different, the thermal conductivity is not much different. Conversely, the difference in thermal conductivity is large [29,30]. This is related to the mineral composition inside the rock, and it is also related to the pore size.…”

Section: Thermal Conductivity Scanning (Tcs) Program As Followsmentioning

confidence: 99%

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Mineral Composition Impact on the Thermal Conductivity of Granites Based on Geothermal Field Experiments in the Songliao and Gonghe Basins, China

Zhang

et al. 2022

Minerals

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Accurate estimation of thermal conductivity of rocks is of paramount importance for projects such as the development of hot dry rock and the geological storage of nuclear waste. In this paper, 30 granite samples from the Songliao and Gonghe Basins in China were tested by X-ray diffraction, polarizing microscope, and Thermal Conductivity Scanning (TCS) measurements. Different mineral contents determine the thermal conductivity of the rock as a whole. The geometric average model and the harmonic average model have great limitations. Combined with the above two models, a new model is proposed for estimating the thermal conductivity, and results are less different from the measured values and have universal applicability. The relative estimation error on the thermal conductivity calculated by mineral composition is significantly reduced. The accuracy of thermal conductivity calculation can be improved by mineral composition.

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Section: Thermal Conductivity Scanning (Tcs) Program As Followsmentioning

confidence: 99%

“…Granite has a semi-self-propelled granular or porphyritic structure and a massive structure. It is often produced in rock plants and foundations, and can often form well-developed mineral particles (Figure 7, Table 2) [29].…”

Section: Rock Mineral Descriptionmentioning

confidence: 99%

Mineral Composition Impact on the Thermal Conductivity of Granites Based on Geothermal Field Experiments in the Songliao and Gonghe Basins, China

Zhang

et al. 2022

Minerals

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“…It is generally accepted that rock anisotropy affects its thermal conductivity [7,[12][13][14]. The results of previous studies on the thermal conductivity and thermal conductivity anisotropy of rocks are shown in Table 2.…”

Section: Anisotropic Model Of Thermal Conductivitymentioning

confidence: 99%

“…However, after conducting thermal conductivity tests on rock samples, it was concluded by Davis et al [7] that the anisotropic factor was close to 1.0 in some rock types (limestone, monzonite, and granodiorite), or even less than 1.0 (quartzite). Wu et al [12] tested the thermal conductivity of different samples parallel to and perpendicular to the structural plane in the Songliao basin and proposed segmentation functions to fit the variation of anisotropic factors of different rock types. In recent years, numerical simulations have been gradually introduced into experimental analysis for the study of anisotropy and heterogeneity of rock thermal conductivity [28].…”

Section: Anisotropic Model Of Thermal Conductivitymentioning

confidence: 99%

Anisotropic Differences in the Thermal Conductivity of Rocks: A Summary from Core Measurement Data in East China

Wang

Shi

et al. 2021

Minerals

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The study of thermal conductivity anisotropy is of great importance for more accurate heat flow calculations, geodynamic studies, development and utilization of hot dry rock, and simulation of heat transfer in geological reservoirs of nuclear waste, and so on. To study the thermal conductivity anisotropy of rocks, 1158 cores from 60 boreholes in East China were tested for thermal conductivity, including thermal conductivity values parallel to (λ∥) and perpendicular to (λ⊥) structural planes of basalt, mudstones, gneisses, sandstones, carbonates, evaporites, and metamorphic rocks. The thermal conductivity anisotropy is not obvious for sand, clay, and evaporate, and the average anisotropic factors of 1.19 ± 0.22, 1.18 ± 0.17, and 1.18 ± 0.17 for tuff/breccia, granitoid and contact metamorphic rocks, respectively, indicate that these three rocks have strong anisotropy characteristics. Finally, the effect of thermal conductivity anisotropy on heat flow is studied and discussed in detail, showing that the results of thermal conductivity tests have a significant effect on the calculation of heat flow and thermal structure, and the data show that a deviation of about 10% in thermal conductivity causes a deviation of about 11% in heat flow, which may lead to a misperception of deep thermal structure studies. The regular and anisotropic characteristics of thermal conductivity of various rocks in Eastern China obtained in this paper can provide parameter support for projects such as heat flow calculations, thermal structure studies, and geothermal resource development and utilization.

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“…The thin section identi cation method identi es minerals and rocks under a polarizing microscope (Liu et al, 2022;Wu et al, 2021). It observes and identi es rocks to distinguish their mineral types and studies the main mineral composition, mineral generation sequence, structure, structure, and rock (ore) type of rocks and ores.…”

Section: Mineral Composition and Microstructure Of Rocksmentioning

confidence: 99%

Investigation of Rock Mechanics Characteristics and Strength in a Squeezing Tunnel: A Case Study of the Haba Snow Mountain Tunnel

Zhao

Tan

et al. 2023

Preprint

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Determining the rock mechanics characteristics and strength is crucial in the effective design of tunnels, particularly in challenging conditions such as squeezing stratum. The focus of this study is on metamorphic basalt, especially its behavior in the Haba Snow Mountain Tunnel Project, which has experienced severe extrusion deformation and collapse of 189m long secondary lining structure. This project is currently the most severely squeezing tunnel in China. Understanding the rock strength in such conditions is of utmost importance. To analyze the rock's properties, thin section identification, XRD diffraction, and scanning electron microscope tests were conducted to determine the mineral composition and microscopic characteristics. Subsequently, the rock's strength was assessed through uniaxial compression, point load, and rebound strength tests. Alongside, the study investigates the mechanical properties of metamorphic basalt and explores the relationship between different rock strength test methods. The findings demonstrate a significant linear correlation between the uniaxial compressive strength, rebound strength, and point load strength of the rocks. The relationship between the point load index and uniaxial compressive strength is represented as y=10.97x, exhibiting a strong correlation coefficient of 0.93. Conversely, the relationship between rebound strength and uniaxial compressive strength is described by y=1.26x-7.39, with a correlation coefficient of 0.76, slightly lower than the point load. Furthermore, as the rock's point load index increases, the confidence region of the relationship between the point load index and uniaxial compressive strength expands. Similarly, the confidence region of the relationship between rebound strength and uniaxial compressive strength initially decreases and then increases with increasing rebound strength. These research findings have significant implications for tunnel design, specifically in understanding the mechanical properties of metamorphic basalt and how different rock strength test methods relate to each other. By considering these relationships, engineers can design tunnels effectively and mitigate potential risks in squeezing stratum conditions.

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Research on the anisotropy of thermal conductivity of rocks in Songliao basin, China

Cited by 18 publications

References 9 publications

Mineral Composition Impact on the Thermal Conductivity of Granites Based on Geothermal Field Experiments in the Songliao and Gonghe Basins, China

Mineral Composition Impact on the Thermal Conductivity of Granites Based on Geothermal Field Experiments in the Songliao and Gonghe Basins, China

Anisotropic Differences in the Thermal Conductivity of Rocks: A Summary from Core Measurement Data in East China

Investigation of Rock Mechanics Characteristics and Strength in a Squeezing Tunnel: A Case Study of the Haba Snow Mountain Tunnel

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