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Data of temperature, thermal conductivity, heat production and heat flow of the southern Tan-Lu Fault Zone, East–Central China
Data in brief 26 (2019) 104459
Contents lists available at ScienceDirect
Data in brief journal homepage: www.elsevier.com/locate/dib
Data Article
Data of temperature, thermal conductivity, heat production and heat flow of the southern Tan-Lu Fault Zone, EasteCentral China Yibo Wang a, b, c, d, Shengbiao Hu a, b, c, Zhuting Wang a, b, c, Guangzheng Jiang a, c, Di Hu a, b, c, *, Kesong Zhang e, Peng Gao a, b, c, Jie Hu a, b, c, Tao Zhang d a
Institute of Geology and Geophysics Chinese Academy of Sciences, State Key Laboratory of Lithospheric Evolution, Beijing, China b University of Chinese Academy of Sciences, College of Earth and Planetary Sciences, Beijing, China c Chinese Academy of Sciences, Institutions of Earth Science, Beijing, China d Shandong University of Science and Technology, College of Earth Science and Engineering, Qingdao, China e Institute of Anhui Bureau of Geological Exploration, First Hydrology and Engineering Geological Exploration, Bengbu, China
a r t i c l e i n f o
a b s t r a c t
Article history: Received 28 July 2019 Received in revised form 17 August 2019 Accepted 23 August 2019 Available online 31 August 2019
In this article we report 5 terrestrial heat flow points along the southern Tan-Lu Fault Zone based on the first systematic deep borehole temperature measurements and thermal conductivities of 128 rock samples. All the temperature logs after 1 m spacing is plotted. The thermal properties test data of all samples have been collated separately, and the thermal conductivity correction data for different depths is presented. In combination with steady state temperature and thermal properties testing, the vertical variation of heat flow is calculated. Detailed interpretation of this data can be found in a research article titled “Heat flow, heat production, thermal structure and its tectonic implication of the southern Tan-Lu Fault Zone, EasteCentral China” (Wang et al., 2019) [1]. © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/).
Keywords: Tan-Lu Fault Zone Heat flow Temperature logs Thermal conductivity Heat production
DOI of original article: https://doi.org/10.1016/j.geothermics.2019.06.007. * Corresponding author. Institute of Geology and Geophysics Chinese Academy of Sciences, State Key Laboratory of Lithospheric Evolution, Beijing, China. E-mail address: [email protected] (D. Hu). https://doi.org/10.1016/j.dib.2019.104459 2352-3409/© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
2
Y. Wang et al. / Data in brief 26 (2019) 104459
Specifications Table Subject Specific subject area
Type of data
How data were acquired
Data format
Parameters for data collection
Description of data collection Data source location
Data accessibility Related research article
Geophysics Geothermics, which is a branch of classical geophysics and can be divided into theoretical, experimental and applied geothermics. This article covers the former two parts. 2 Tables, 1 Figure, 4 Excel files (Appendixes A, B C and D) The borehole temperature data were measured using a continuous logging system with a platinum thermal resistance sensor and a 5000-m-long cable. Thermal conductivity: Optical scanning technology Heat production: The U and Th concentrations were obtained by inductively coupled plasma mass spectrometry, and the K concentrations were determined by atomic absorption spectroscopy. Sample density: Archimedean method, True Density Machine, in the laboratory. Raw, Ffiltered, Processed. Before thermal conductivity tested, the rock sample should be cut out of a plane with an undulation of no more than 1 mm. Before the concentration of U, Th and K2O tested, the rock sample should be pulverized into a powder. The downhole rate for temperature logs was strictly controlled set to approximately 6 m min1. Thermophysical test was performed under laboratory conditions and temperature logs were obtained under steady state conditions. Qianshan, China 30 400 700 116 290 600 Hefei, China 31 430 1400 117 150 4300 Dingyuan, China 32 300 2900 117 310 4200 Wuhe, China 33 090 2500 117 500 400 Lujiang, China 30 580 4700 117 280 1000 Data are presented in this article. Wang, Y., Hu, S., Wang, Z., Jiang, G., Hu, D., Zhang, K., Gao, P., Hu, J. and Zhang, T., Heat flow, heat production, thermal structure and its tectonic implication of the southern Tan-Lu Fault Zone, EasteCentral China. Geothermics. 2019-82:254-266 https://doi.org/10.1016/j.geothermics.2019.06.007
Value of the data This data presents the geothermal data of the southern Tan-Lu Fault Zone (STLFZ), including thermal conductivity (TC), heat production (HP) and temperature logs, which can guide other researchers for studying thermal structure and thermal state of the STLFZ, the Yangtze Craton (YC) and the North China Craton (NCC). Researchers who study the nature of fault activity, focal depth and heat flow paradox can benefit much from this database. For future investigations, heat flow values and thermophysical parameter can provide clues that distinguish the difference of thermal state between the southern Tan-Lu Fault Zone and the middle or northern.
1. Data The latest continental heat flow compilation of China was conducted by Jiang et al. [2], with 1230 heat flow measurements, which include 231 heat flow data in the Yangtze Craton and 473 in the North China Craton (Fig. 1). However, few research focused on the thermal state of the Tan-Lu fault zone. All the heat flow dataset of YC and NCC of previous works are shown in Appendix A. Temperature dataset in this work consists of temperature and temperature gradient data at the interval of 1 m and 10 m, respectively, for the five temperature logs (Appendixes B, C and D). The borehole temperature data were measured using a continuous logging system with a 42.9-mm-long
Y. Wang et al. / Data in brief 26 (2019) 104459
3
platinum thermal resistance sensor (Robertson Geologging Ltd; UK) and a 5000-m-long cable (Downhole Surveys; Australia). Each temperature logs, gradients and lithological columns of the 5 boreholes along STLFZ are represented and summarized in the research article. The basic information and geotherms of the boreholes are shown in Table 1. One advantage of this work is that almost the temperature logs data belong to systematically continuous temperature measurements [4]. Another advantage is there exists a temperature log of one 3000-m-pilot hole of the Chinese Continental Scientific Drilling Project in Lu-Zong Basin (LZSD) (see Fig. 1). Thermophysical property dataset consists of thermal properties of the outcrop and core samples. We performed test on the thermal property parameters of dry rocks separately: 128 thermal conductivity, 15 porosity, 49 density and 85 heat production data. All the geothermal data are shown in Appendix C.
2. Experimental design, materials, and methods 2.1. Temperature dataset The borehole temperature data were measured using a continuous logging system with a 42.9-mmlong platinum thermal resistance sensor (Robertson Geologging Ltd; UK) and a 5000-m-long cable (Downhole Surveys; Australia). The sensitivity and accuracy of the temperature measurements are ±0.01 C and ±0.1 C, respectively. The probe was calibrated once every two years at the Beijing Institute of Metrology, as well as after each temperature measurement, using a Hg thermometer to test and record the sensitivity and accuracy of the probe, in order to obtain a unified calibration. The depth data and corresponding temperature data were acquired using the Matrix Logging System (Mount Sopris Instruments; USA). The response time of the system due to the sensor assembly is approximately 2 s, with the downhole rate set to approximately 6 m min1 [5]. The borehole temperatures were measured at 0.1 m intervals, with sampling conducted at 2 m intervals. The temperatureedepth (TeZ) profiles are shown in Fig. 1. 2.2. Thermophysical property dataset Optical scanning technology [6,7] (Lippmann and Rauen GbR; Germany) was employed to measure the thermal conductivity, with a ±3% measurement accuracy and 0.20e25 W m1 K1 measurement range. The instrument scans the samples using a centralized, moving, and continuous heat source, and the TC is calculated as a function of the temperature difference before and after exposing a given sample to the moving heat source and a calibration to standard samples with known TC values [7]. The samples varied by < 1 mm along their planarecylindrical surfaces and approximately 5 cm along their lengths. At least three tests were first conducted on each standard sample to calibrate the system error. The U and Th concentrations were obtained by inductively coupled plasma mass spectrometry, and the K concentrations were determined by atomic absorption spectroscopy. The core sample densities were also measured in the laboratory by the Archimedean method. We performed temperature, pressure, and porosity corrections on the core samples thermal conductivity. When it comes to correction model, we take into account the main lithology and porosity of the core samples, following equations 1, 2, and 3 for temperature, pressure, and porosity corrections, respectively (Table 2). The first and second line of the middle column represents the correction formulas and the notes, respectively. The TC measurements, along with the TC corrections versus depth are shown in Appendix C. The heat production values were calculated via the empirical formula proposed by Rybach [11]:
A ¼ 105 rð9:25CU þ 2:56CTh þ 3:48CK Þ
(4)
4
Y. Wang et al. / Data in brief 26 (2019) 104459
Fig. 1. A: The heat flow points in eastern China. B: Structural map around the southern Tan-Lu Fault Zone (modified from Zhu et al. [3]).
Y. Wang et al. / Data in brief 26 (2019) 104459
5
Table 1 Basic information and representative geotherms of the analyzed boreholes (Modified from Wang et al. [1]). Borehole No.
Locality
Shut-in time
Depth interval (m)
Main rock type
TG (SD) ( C m1)
Mean TC (W m1 K1)
Heat flow (mW m2)
DC01 DC02 DC03 DC04 LZSD
Qianshan Hefei Dingyuan Wuhe Lujiang
>2 years >2 years 161 days 278 days 8 days
290e1400 820e1240 150e220 1190e1310 1860e1980
gneissic rocks Siltstone Mudstone Siltstone Syenite, monzonite
22.6 28.6 41.3 29.7 32.7
2.7 1.9 1.4 2.1 2.7
59.9 55.5 59.3 61.1 87.2
Table 2 Correction models of the core samples in the boreholes. Temperature correction T0 Tm 1 1 lðTÞ ¼ l0 lm Þ þ lm T Tm Tm T0 T : in-situ formation temperature ( C) l0 : TC (W m1 K1) at room temperature T0 Tm ¼ 1473 C; lm ¼ 1.05 W m1 K1 Pressure correction lðPÞ ¼ 0:0005P þ l0 lðPÞ: pressure-corrected TC (W m1 K1) P: in-situ formation pressure (MPa) n pffiffiffiffi pffiffiffiffiffi P Porosity correction lb ¼ ∅i li
ð1Þ
[8]
( C) ð2Þ
ð3Þ
[9]
[10]
i¼1
lb: mean porosity-corrected TC (W m1 K1) li: thermal conductivity of the ith
∅i: the ith volume/total volume of the bulk
where A is the heat production (mW m3), r is the density (kg m3), CU and CTh are the U and Th concentrations (ppm), respectively, and CK is the K concentration (%). The detailed process and results are listed in Appendix C. The heat flow values of the five boreholes were calculated via multiplication of the TG values from the least-squares method with the TC values at different depth intervals. The corrected core TC values were used for the heat flow determinations, with the heat flow calculated from sections with stable TG and TC measurements. The results are summarized in Table 1. Acknowledgments Financial support was mostly provided by the Anhui Fund Project (Basic Measurement of Heat Flow in Anhui Province, No. 2014-g-11) and the Jiangsu Fund Project (Investigation of Geothermal Field and Special Study on Crustal Thermal Structure in Subei Basin, JITC-1802AW2292), as well as a National Youth Science Fund Project (Methods Study Based on Petrophysics Experiments for Accurate Recognition of Lithofacies- Diagenetic Facies with Well Logs in Tuffaceous Sandstone, 41602135). Conflict of Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Appendix A. Supplementary data Supplementary data to this article can be found online at https://doi.org/10.1016/j.dib.2019.104459. References [1] Y. Wang, S. Hu, Z. Wang, G. Jiang, D. Hu, K. Zhang, P. Gao, J. Hu, T. Zhang, Heat flow, heat production, thermal structure and its tectonic implication of the southern Tan-Lu Fault Zone, EasteCentral China, Geothermics 82 (2019) 254e266, https:// doi.org/10.1016/j.geothermics.2019.06.007.
6
Y. Wang et al. / Data in brief 26 (2019) 104459
[2] G. Jiang, P. Gao, S. Rao, L. Zhang, X. Tang, F. Huang, P. Zhao, Z. Pang, L. He, S. Hu, Compilation of heat flow data in the continental area of China(4~(th) edition) (In Chinese with English Abstract), Chin. J. Geophys. 59 (8) (2016) 2892e2910, https://doi.org/10.1016/j.jseaes.2016.01.009. [3] G. Zhu, G. Liu, M. Niu, C. Xie, Y. Wang, B. Xiang, Syn-collisional transform faulting of the Tan-Lu fault zone, East China, Int. J. Earth Sci. 98 (1) (2009) 135e155, https://doi.org/10.1007/s00531-007-0225-8. [4] R.G. Beardsmore, P.J. Cull, Crustal Heat Flow: a Guide to Measurement and Modelling, Cambridge University Press, 2001, pp. 86e87, https://doi.org/10.1007/978-0521797039. [5] L. He, S. Hu, S. Huang, W. Yang, J. Wang, Y. Yuan, S. Yang, Heat flow study at the Chinese Continental Scientific Drilling site: borehole temperature, thermal conductivity, and radiogenic heat production, J. Geophys. Res. Solid Earth 113 (B2) (2008), https://doi.org/10.1029/2007JB004958 (1978e2012). [6] Y.A. Popov, S.L. Pevzner, V.P. Pimenov, R.A. Romushkevich, New geothermal data from the Kola superdeep well SG-3, Tectonophysics 306 (3e4) (1999) 345e366, https://doi.org/10.1016/S0040-1951(99)00065-7. [7] Y. Popov, G. Beardsmore, C. Clauser, S. Roy, ISRM suggested methods for determining thermal properties of rocks from laboratory tests at atmospheric pressure, Rock Mech. Rock Eng. 49 (10) (2016) 4179e4207, https://doi.org/10.1016/S00401951(99)00065-7. [8] K. Sekiguchi, A method for determining terrestrial heat flow in oil basinal areas, Tectonophysics 103 (1) (1984) 67e79, https://doi.org/10.1016/0040-1951(84)90075-1. [9] Q. Sun, Analyses of the factors influencing sandstone thermal conductivity, Acta Geodyn. Geomater. 14 (2) (2017) 173e180, https://doi.org/10.13168/AGG.2017.0001. [10] R.F. Roy, A.E. Beck, Touloukian, Thermophysical properties of rocks, Phys. Prop. Rocks Miner. 2 (2) (1981) 409e502. [11] L. Rybach, Radioactive heat production in rocks and its relation to other petrophysical parameters, Pure Appl. Geophys. 114 (2) (1976) 309e317, https://doi.org/10.1007/BF00878955.
Contents lists available at ScienceDirect
Data in brief journal homepage: www.elsevier.com/locate/dib
Data Article
Data of temperature, thermal conductivity, heat production and heat flow of the southern Tan-Lu Fault Zone, EasteCentral China Yibo Wang a, b, c, d, Shengbiao Hu a, b, c, Zhuting Wang a, b, c, Guangzheng Jiang a, c, Di Hu a, b, c, *, Kesong Zhang e, Peng Gao a, b, c, Jie Hu a, b, c, Tao Zhang d a
Institute of Geology and Geophysics Chinese Academy of Sciences, State Key Laboratory of Lithospheric Evolution, Beijing, China b University of Chinese Academy of Sciences, College of Earth and Planetary Sciences, Beijing, China c Chinese Academy of Sciences, Institutions of Earth Science, Beijing, China d Shandong University of Science and Technology, College of Earth Science and Engineering, Qingdao, China e Institute of Anhui Bureau of Geological Exploration, First Hydrology and Engineering Geological Exploration, Bengbu, China
a r t i c l e i n f o
a b s t r a c t
Article history: Received 28 July 2019 Received in revised form 17 August 2019 Accepted 23 August 2019 Available online 31 August 2019
In this article we report 5 terrestrial heat flow points along the southern Tan-Lu Fault Zone based on the first systematic deep borehole temperature measurements and thermal conductivities of 128 rock samples. All the temperature logs after 1 m spacing is plotted. The thermal properties test data of all samples have been collated separately, and the thermal conductivity correction data for different depths is presented. In combination with steady state temperature and thermal properties testing, the vertical variation of heat flow is calculated. Detailed interpretation of this data can be found in a research article titled “Heat flow, heat production, thermal structure and its tectonic implication of the southern Tan-Lu Fault Zone, EasteCentral China” (Wang et al., 2019) [1]. © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/).
Keywords: Tan-Lu Fault Zone Heat flow Temperature logs Thermal conductivity Heat production
DOI of original article: https://doi.org/10.1016/j.geothermics.2019.06.007. * Corresponding author. Institute of Geology and Geophysics Chinese Academy of Sciences, State Key Laboratory of Lithospheric Evolution, Beijing, China. E-mail address: [email protected] (D. Hu). https://doi.org/10.1016/j.dib.2019.104459 2352-3409/© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
2
Y. Wang et al. / Data in brief 26 (2019) 104459
Specifications Table Subject Specific subject area
Type of data
How data were acquired
Data format
Parameters for data collection
Description of data collection Data source location
Data accessibility Related research article
Geophysics Geothermics, which is a branch of classical geophysics and can be divided into theoretical, experimental and applied geothermics. This article covers the former two parts. 2 Tables, 1 Figure, 4 Excel files (Appendixes A, B C and D) The borehole temperature data were measured using a continuous logging system with a platinum thermal resistance sensor and a 5000-m-long cable. Thermal conductivity: Optical scanning technology Heat production: The U and Th concentrations were obtained by inductively coupled plasma mass spectrometry, and the K concentrations were determined by atomic absorption spectroscopy. Sample density: Archimedean method, True Density Machine, in the laboratory. Raw, Ffiltered, Processed. Before thermal conductivity tested, the rock sample should be cut out of a plane with an undulation of no more than 1 mm. Before the concentration of U, Th and K2O tested, the rock sample should be pulverized into a powder. The downhole rate for temperature logs was strictly controlled set to approximately 6 m min1. Thermophysical test was performed under laboratory conditions and temperature logs were obtained under steady state conditions. Qianshan, China 30 400 700 116 290 600 Hefei, China 31 430 1400 117 150 4300 Dingyuan, China 32 300 2900 117 310 4200 Wuhe, China 33 090 2500 117 500 400 Lujiang, China 30 580 4700 117 280 1000 Data are presented in this article. Wang, Y., Hu, S., Wang, Z., Jiang, G., Hu, D., Zhang, K., Gao, P., Hu, J. and Zhang, T., Heat flow, heat production, thermal structure and its tectonic implication of the southern Tan-Lu Fault Zone, EasteCentral China. Geothermics. 2019-82:254-266 https://doi.org/10.1016/j.geothermics.2019.06.007
Value of the data This data presents the geothermal data of the southern Tan-Lu Fault Zone (STLFZ), including thermal conductivity (TC), heat production (HP) and temperature logs, which can guide other researchers for studying thermal structure and thermal state of the STLFZ, the Yangtze Craton (YC) and the North China Craton (NCC). Researchers who study the nature of fault activity, focal depth and heat flow paradox can benefit much from this database. For future investigations, heat flow values and thermophysical parameter can provide clues that distinguish the difference of thermal state between the southern Tan-Lu Fault Zone and the middle or northern.
1. Data The latest continental heat flow compilation of China was conducted by Jiang et al. [2], with 1230 heat flow measurements, which include 231 heat flow data in the Yangtze Craton and 473 in the North China Craton (Fig. 1). However, few research focused on the thermal state of the Tan-Lu fault zone. All the heat flow dataset of YC and NCC of previous works are shown in Appendix A. Temperature dataset in this work consists of temperature and temperature gradient data at the interval of 1 m and 10 m, respectively, for the five temperature logs (Appendixes B, C and D). The borehole temperature data were measured using a continuous logging system with a 42.9-mm-long
Y. Wang et al. / Data in brief 26 (2019) 104459
3
platinum thermal resistance sensor (Robertson Geologging Ltd; UK) and a 5000-m-long cable (Downhole Surveys; Australia). Each temperature logs, gradients and lithological columns of the 5 boreholes along STLFZ are represented and summarized in the research article. The basic information and geotherms of the boreholes are shown in Table 1. One advantage of this work is that almost the temperature logs data belong to systematically continuous temperature measurements [4]. Another advantage is there exists a temperature log of one 3000-m-pilot hole of the Chinese Continental Scientific Drilling Project in Lu-Zong Basin (LZSD) (see Fig. 1). Thermophysical property dataset consists of thermal properties of the outcrop and core samples. We performed test on the thermal property parameters of dry rocks separately: 128 thermal conductivity, 15 porosity, 49 density and 85 heat production data. All the geothermal data are shown in Appendix C.
2. Experimental design, materials, and methods 2.1. Temperature dataset The borehole temperature data were measured using a continuous logging system with a 42.9-mmlong platinum thermal resistance sensor (Robertson Geologging Ltd; UK) and a 5000-m-long cable (Downhole Surveys; Australia). The sensitivity and accuracy of the temperature measurements are ±0.01 C and ±0.1 C, respectively. The probe was calibrated once every two years at the Beijing Institute of Metrology, as well as after each temperature measurement, using a Hg thermometer to test and record the sensitivity and accuracy of the probe, in order to obtain a unified calibration. The depth data and corresponding temperature data were acquired using the Matrix Logging System (Mount Sopris Instruments; USA). The response time of the system due to the sensor assembly is approximately 2 s, with the downhole rate set to approximately 6 m min1 [5]. The borehole temperatures were measured at 0.1 m intervals, with sampling conducted at 2 m intervals. The temperatureedepth (TeZ) profiles are shown in Fig. 1. 2.2. Thermophysical property dataset Optical scanning technology [6,7] (Lippmann and Rauen GbR; Germany) was employed to measure the thermal conductivity, with a ±3% measurement accuracy and 0.20e25 W m1 K1 measurement range. The instrument scans the samples using a centralized, moving, and continuous heat source, and the TC is calculated as a function of the temperature difference before and after exposing a given sample to the moving heat source and a calibration to standard samples with known TC values [7]. The samples varied by < 1 mm along their planarecylindrical surfaces and approximately 5 cm along their lengths. At least three tests were first conducted on each standard sample to calibrate the system error. The U and Th concentrations were obtained by inductively coupled plasma mass spectrometry, and the K concentrations were determined by atomic absorption spectroscopy. The core sample densities were also measured in the laboratory by the Archimedean method. We performed temperature, pressure, and porosity corrections on the core samples thermal conductivity. When it comes to correction model, we take into account the main lithology and porosity of the core samples, following equations 1, 2, and 3 for temperature, pressure, and porosity corrections, respectively (Table 2). The first and second line of the middle column represents the correction formulas and the notes, respectively. The TC measurements, along with the TC corrections versus depth are shown in Appendix C. The heat production values were calculated via the empirical formula proposed by Rybach [11]:
A ¼ 105 rð9:25CU þ 2:56CTh þ 3:48CK Þ
(4)
4
Y. Wang et al. / Data in brief 26 (2019) 104459
Fig. 1. A: The heat flow points in eastern China. B: Structural map around the southern Tan-Lu Fault Zone (modified from Zhu et al. [3]).
Y. Wang et al. / Data in brief 26 (2019) 104459
5
Table 1 Basic information and representative geotherms of the analyzed boreholes (Modified from Wang et al. [1]). Borehole No.
Locality
Shut-in time
Depth interval (m)
Main rock type
TG (SD) ( C m1)
Mean TC (W m1 K1)
Heat flow (mW m2)
DC01 DC02 DC03 DC04 LZSD
Qianshan Hefei Dingyuan Wuhe Lujiang
>2 years >2 years 161 days 278 days 8 days
290e1400 820e1240 150e220 1190e1310 1860e1980
gneissic rocks Siltstone Mudstone Siltstone Syenite, monzonite
22.6 28.6 41.3 29.7 32.7
2.7 1.9 1.4 2.1 2.7
59.9 55.5 59.3 61.1 87.2
Table 2 Correction models of the core samples in the boreholes. Temperature correction T0 Tm 1 1 lðTÞ ¼ l0 lm Þ þ lm T Tm Tm T0 T : in-situ formation temperature ( C) l0 : TC (W m1 K1) at room temperature T0 Tm ¼ 1473 C; lm ¼ 1.05 W m1 K1 Pressure correction lðPÞ ¼ 0:0005P þ l0 lðPÞ: pressure-corrected TC (W m1 K1) P: in-situ formation pressure (MPa) n pffiffiffiffi pffiffiffiffiffi P Porosity correction lb ¼ ∅i li
ð1Þ
[8]
( C) ð2Þ
ð3Þ
[9]
[10]
i¼1
lb: mean porosity-corrected TC (W m1 K1) li: thermal conductivity of the ith
∅i: the ith volume/total volume of the bulk
where A is the heat production (mW m3), r is the density (kg m3), CU and CTh are the U and Th concentrations (ppm), respectively, and CK is the K concentration (%). The detailed process and results are listed in Appendix C. The heat flow values of the five boreholes were calculated via multiplication of the TG values from the least-squares method with the TC values at different depth intervals. The corrected core TC values were used for the heat flow determinations, with the heat flow calculated from sections with stable TG and TC measurements. The results are summarized in Table 1. Acknowledgments Financial support was mostly provided by the Anhui Fund Project (Basic Measurement of Heat Flow in Anhui Province, No. 2014-g-11) and the Jiangsu Fund Project (Investigation of Geothermal Field and Special Study on Crustal Thermal Structure in Subei Basin, JITC-1802AW2292), as well as a National Youth Science Fund Project (Methods Study Based on Petrophysics Experiments for Accurate Recognition of Lithofacies- Diagenetic Facies with Well Logs in Tuffaceous Sandstone, 41602135). Conflict of Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Appendix A. Supplementary data Supplementary data to this article can be found online at https://doi.org/10.1016/j.dib.2019.104459. References [1] Y. Wang, S. Hu, Z. Wang, G. Jiang, D. Hu, K. Zhang, P. Gao, J. Hu, T. Zhang, Heat flow, heat production, thermal structure and its tectonic implication of the southern Tan-Lu Fault Zone, EasteCentral China, Geothermics 82 (2019) 254e266, https:// doi.org/10.1016/j.geothermics.2019.06.007.
6
Y. Wang et al. / Data in brief 26 (2019) 104459
[2] G. Jiang, P. Gao, S. Rao, L. Zhang, X. Tang, F. Huang, P. Zhao, Z. Pang, L. He, S. Hu, Compilation of heat flow data in the continental area of China(4~(th) edition) (In Chinese with English Abstract), Chin. J. Geophys. 59 (8) (2016) 2892e2910, https://doi.org/10.1016/j.jseaes.2016.01.009. [3] G. Zhu, G. Liu, M. Niu, C. Xie, Y. Wang, B. Xiang, Syn-collisional transform faulting of the Tan-Lu fault zone, East China, Int. J. Earth Sci. 98 (1) (2009) 135e155, https://doi.org/10.1007/s00531-007-0225-8. [4] R.G. Beardsmore, P.J. Cull, Crustal Heat Flow: a Guide to Measurement and Modelling, Cambridge University Press, 2001, pp. 86e87, https://doi.org/10.1007/978-0521797039. [5] L. He, S. Hu, S. Huang, W. Yang, J. Wang, Y. Yuan, S. Yang, Heat flow study at the Chinese Continental Scientific Drilling site: borehole temperature, thermal conductivity, and radiogenic heat production, J. Geophys. Res. Solid Earth 113 (B2) (2008), https://doi.org/10.1029/2007JB004958 (1978e2012). [6] Y.A. Popov, S.L. Pevzner, V.P. Pimenov, R.A. Romushkevich, New geothermal data from the Kola superdeep well SG-3, Tectonophysics 306 (3e4) (1999) 345e366, https://doi.org/10.1016/S0040-1951(99)00065-7. [7] Y. Popov, G. Beardsmore, C. Clauser, S. Roy, ISRM suggested methods for determining thermal properties of rocks from laboratory tests at atmospheric pressure, Rock Mech. Rock Eng. 49 (10) (2016) 4179e4207, https://doi.org/10.1016/S00401951(99)00065-7. [8] K. Sekiguchi, A method for determining terrestrial heat flow in oil basinal areas, Tectonophysics 103 (1) (1984) 67e79, https://doi.org/10.1016/0040-1951(84)90075-1. [9] Q. Sun, Analyses of the factors influencing sandstone thermal conductivity, Acta Geodyn. Geomater. 14 (2) (2017) 173e180, https://doi.org/10.13168/AGG.2017.0001. [10] R.F. Roy, A.E. Beck, Touloukian, Thermophysical properties of rocks, Phys. Prop. Rocks Miner. 2 (2) (1981) 409e502. [11] L. Rybach, Radioactive heat production in rocks and its relation to other petrophysical parameters, Pure Appl. Geophys. 114 (2) (1976) 309e317, https://doi.org/10.1007/BF00878955.