Research Article  Open Access
Zhen Liu, Mingrui Zhang, Shijian Yu, Lin Xin, Gang Wang, Liutao Sun, "Experimental Study on the Fractal Features and Permeability Characteristics of Low Metamorphic Coal Pore Structure under Thermal Damage", Geofluids, vol. 2020, Article ID 8864571, 13 pages, 2020. https://doi.org/10.1155/2020/8864571
Experimental Study on the Fractal Features and Permeability Characteristics of Low Metamorphic Coal Pore Structure under Thermal Damage
Abstract
Underground coal gasification and exploitation of geothermal mine resources can effectively improve coal conversion and utilization efficiency, and the basic theory of the above technologies generally relies on the change law of the coal pore structure under thermal damage. Therefore, the influence mechanism of the development of the coal pore structure under thermal damage is analyzed by the nuclear magnetic resonance experiment, and the temperaturepermeability fractal model is created. The results show that compared with microtransitional pores, the volume of mesomacropores in the coal body is more susceptible to an increase in temperature, which was most obvious at 200300°C. During the heating process, the measured fractal dimension based on the spectral distribution is between 2 and 3, indicating that the fractal characteristics did not disappear upon a change in external temperature. The temperature has a certain negative correlation with , , and , indicating that the complexity of the pore structure of the coal body decreased gradually with the increase of the temperature. Compared with the permeability calculated based on the theoretical permeability fractal model, the permeability obtained from the temperaturepermeability fractal model has a similar increasing trend as the permeability measured by the NMR experiment when the temperature increases. The experimental study on pore structure and permeability characteristics of the low metamorphic coal under thermal damage provides a scientific theory for underground coal gasification and geothermal exploitation.
1. Introduction
In recent years, there have been many means to achieve coal conversion and comprehensive utilization, including underground coal gasification and geothermal mining [1, 2]. Underground coal gasification is a kind of clean coal comprehensive utilization technology that is converted into combustible gas in situ by a thermochemical reaction [3, 4]. This technology is one of the important ways to achieve coal conversion, which improves the energy structure, enhances the safety of coal mine production, and considerably improves the resource recovery rate [5, 6]. Some key points of the technology, such as blasting the coal seam, the movement of airflow, and the movement of the flame working surface, will cause a series of complicated phenomena [7, 8], and especially after igniting the coal seam, the combustion will continue to spread. The heat released from the combustion center bakes the coal rock, which causes the mechanical properties of the coal rock and its pore fracture to change, thus affecting the seepage characteristics of the gas in the pore fracture of the coal and determines whether the gasification reaction can continue. Additionally, the geothermal resource is a kind of green renewable energy that is currently being promoted in which deep mine thermal hazards can be used as a geothermal resource for resource utilization [9–14]; however, the current geothermal exploration and mining technology are not perfect, especially regarding the basic theory of heat and mass transfer of the coal porous structure, which requires further study. Thus, to steadily control the underground coal gasification process and improve the geothermal exploration and mining technology, it is critical to study the evolution characteristics of the coal structure and permeability characteristics under the heating process. Therefore, this study conducts a series of analyses and studies on the influence mechanism on the development of pore structure and permeability characteristics of the low metamorphic coal under thermal damage.
Coal is the complex porous medium. Recently, a large number of scholars have conducted indepth studies on the pore structure parameters of coal and rock mass, such as on the pore size, porosity, specific surface area, specific pore volume, and median pore diameter. The research methods have mostly relied on scanning electron microscopy (SEM), mercury intrusion porosimetry (MIP), nitrogen adsorption, nuclear magnetic resonance (NMR), and other methods [15–21]. A series of changes occur in the coal structure under thermal damage. Among them, Li et al. [22] analyzed the changes in the pore structure, moisture, partial volatiles, and organic matter from coal at different heating stages using TGMS, SEM, 77 K N_{2} adsorption/desorption, and MIP. Liu et al. [23] used a selfdeveloped TRTP2000 experimental system to carry out high temperature and highpressure deformation experiments on coal, and combined with various in situ methods, then analyzed and measured the physicochemical evolution characteristics and mechanism of the coal chemical structure. Wang et al. [24] studied the structural transformations in the three coal components, barkinite, vitrinite, and resinite, upon heat treatment from 200°C to 700°C using highresolution transmission electron microscopy (HRTEM). Cai et al. [25] used SAXS, N_{2} adsorption/desorption isotherms, and scanning electron microscopy (SEM) to study the pore structure of Chinese coal under heating and pressure treatment and comprehensively evaluated the pore shape and pore size distribution characteristics of the low rank coal. Natalia [26] studied the development of the porous structure of bituminous coal chars during a certain heating process and found that the development of the porous structure enhanced with the increase in temperature, and then analyzed the reason for this phenomenon and found an enhancement in the evaporation and volatilization. Jolanta [27] used coal petrological methods to determine that the oxidation and thermal change caused by high temperature (above 800°C) in the coal seam fire area will lead to the development of nonstructural cracks and fractures.
In addition to using a series of experimental methods to determine the structure of coal, fractal geometry theory is often used to quantitatively characterize the complex properties of porous media in coal and study the fluid transport properties of the porous media. Recently, Wu et al. [28] used an improved box counting method to calculate the twodimensional and threedimensional fractal dimensions of CT images of coal samples and confirmed the exponential relationship between porosity and fractal dimension; Liu et al. [29] established the fractal model of permeability via an NMR experiment and fractal geometry theory, then determined the quantitative relationship between the pore structure of a coal sample and permeability in the process of coal seam water injection, and provided an advanced experimental method and theoretical analysis method for the process of coal seam water injection. Additionally, Zhu et al. [30] used N_{2} adsorption/desorption at 77 K to analyze the pore structure of coal and calculated the fractal dimension for different pressure ranges by combining the FrenkelHalseyHill fractal model; then, the relationship between the fractal dimension and the pore structure was clarified. Shi et al. [31] used Xray CT and the fractal theory to analyze the physical characteristics of microfractures and the relationship between fractal characteristics and permeability. Peng et al. [32] used lowtemperature N_{2} isotherm adsorption/desorption and the mercury porosimetry experiment to analyze the pore structure of the high rank coal combined with various models to calculate the pore fractal dimension to characterize the heterogeneity of the pore structure. The comprehensive application of the above experimental methods and fractal theory provided the foundation for the analysis of pore structure development under thermal damage conditions in this paper. Therefore, based on these comprehensive, nondestructive, and simple characteristics, for this paper, we choose the selfheating nuclear magnetic resonance equipment to analyze the pore structure change law of coal samples during continuous heating up to 50°C, 100°C, 200°C, and 300°C. Moreover, the fractal dimension of the pore structure is calculated and analyzed by using the fractal theory. Then, a temperaturepermeability fractal model is constructed, and the influence mechanism of thermal damage on the pore structure development of a coal body is discussed.
2. Experiments
2.1. Samples
Experimental coal samples are taken from the Xiagou Mine (XG) in Bin County, Shaanxi Province, and the Hoxtolgay Fire Area (HS) in Xinjiang Uygur Autonomous region. First, bulky raw coal samples and rock samples obtained in the field are transported to the laboratory for industrial and elemental analyses and then processed into a cylinder for treatment with increasing temperature using a nuclear magnetic resonance (NMR). The processed coal samples are shown in Figure 1. The results of the industrial and elemental analyses are shown in Table 1. The results of the initial porosity and permeability for coal samples are shown in Table 2.
 
: airdried moisture; : airdried ash; : airdried volatile matter; : airdried fixed carbon; Ro,max: vitrinite reflectance. 

2.2. Apparatus and Method
The MINI MR core nuclear magnetic resonance analyzer is used in this experiment, which can achieve the core analysis and imaging function, as shown in Figure 2. The instrument magnet is a permanent magnet, the magnetic field intensity is 0.5 T, the main frequency is 21.3 MHz, the probe coil diameter is 60 mm, the minimum echo time is 0.24 ms, the echo time (TE) during the test is 0.2 ms, the waiting time (TW) is 2 s, the echo number is 2000, the scanning time is 16, and the experimental environment temperature is 32°C. The relaxation distribution is calculated by using the joint iterative reconstruction technique after the test, and the number of iterations is 10,000. To satisfy the need for the continuous temperature measurement of experimental samples for the nuclear magnetic resonance analyzer, the equipment is equipped with a temperature control system. The temperature control module of a single chip computer is used to control the experimental temperature, and the temperature setting information given by the nuclear magnetic resonance spectrometer system is accepted. The heating and cooling control are realized by changing the direction of the DC current flowing through the semiconductor refrigerant sheet. Meanwhile, constant temperature circulating water is used to remove the heat generated on the semiconductor connection material to achieve the expected variable temperature conditions. The schematic diagram of the equipment is shown in Figure 2.
In this experiment, firstly, the raw coals collected from the site are processed into cylindrical raw coal standard samples with a diameter of 25 mm and a height of 50 mm, which accord with the experimental requirements, so as to conduct NMR test of coal structure under heating conditions. Then, two samples from each kind of coal (XG and HS) are heated to 50°C for the water saturation test. After the test, the samples are heated to 100°C for the same test. Afterwards, the samples are heated to 200°C and 300°C for the water saturation test until four temperature points are tested. spectrums at each temperature are obtained, and the influence mechanism of thermal damage on the development of the pore structure of coal samples is analyzed.
3. Results and Analyses
3.1. The Variation of the Spectrum Distribution with the Temperature
The magnitude of the spectrum amplitude as measured by the NMR experiment reflects the total hydrogen content of a certain diameter pore [33]. Therefore, the variation in water content of coal samples at different temperatures can be represented by the variation in the spectrum amplitude. Figure 3 shows the variation of the spectrum with the temperature under cyclic heating conditions.
(a)
(b)
As Figure 3(a) shows, for the XG coal samples, the measured spectrum at four temperature points has obvious bimodal characteristics, and the left peak area is larger than the right peak area. Additionally, with an increase in the temperature, the amplitudes of two peaks of the spectrum obviously increase, indicating that the amounts of water entering the XG coal samples increase with the increase of the temperature. As Figure 3(b) shows, for the HS coal samples, the measured spectrums at 50°C, 100°C, and 200°C have bimodal characteristics, and the measured spectrums at 300°C have three peaks. With the increase of the temperature, the left peak amplitude of the spectrum decreases, and the right peak amplitude of the spectrum increases, indicating that the amounts of water entering the smaller pore structure of the HS coal samples decrease with the increase of the temperature, and the amounts of water entering the larger pore structure of the HS coal samples increase with the increase of the temperature.
3.2. The Variation of the Pore Size Distribution with the Temperature
When the core is saturated with the single fluid, the relaxation is mainly determined by the surface relaxation, which is the relaxation of the surface of the coal to the fluid, and is related to the pore specific surface (the ratio of the specific surface area of the pore in the coal to the pore volume), so the distribution can more reliably reflect the rock pore size and its distribution, that is, is directly proportional to the pore size [34, 35]. Figure 4 shows the variation of the pore size distribution with the temperature. is the relaxation time, and is the surface relaxation rate of ; it is related to the nature of coal, where a pore is assumed to be a cylinder with radius (the empirical value of the sample in the calculation is =50.00 μm/s), is the pore surface area, is the pore volume, is the pore specific surface area, and is the geometry shape factor.
(a)
(b)
According to Huoduote’s decimal classification system of pore size [36], pores of the tested coal samples cover micropores (nm), transition pores (10.00 nm ≤ nm), mesopores (100.00 nm ≤ nm), and macropores ( nm). As shown in Figure 4, the pore structure of the HS coal samples is considerably affected by the temperature compared with the XG coal samples. On the micropore scale, the pore volumes of the HS coal samples decrease with the increase of the temperature, especially at 200300°C, whereas that of the XG coal samples hardly change with the increase of the temperature. On the transition pore scale, the pore volumes of the HS coal samples vary slightly in the range of 50100°C; in the range of 100300°C, the pore volumes decrease significantly with the increase of the temperature, and the pore volumes of the XG coal samples decrease as a whole with an increase of the temperature, although the variation was small. On the mesopore scale, in the range of 50200°C, the pore volumes of the HS and XG coal samples increase with the increase of the temperature but slowly in the range of 50100°C and sharply in the range of 100200°C; they also decrease sharply with the increase of the temperature in the range of 200300°C; thus, the pore volumes of the XG coal samples change less than that of the HS coal samples. On the macropore scale, the pore volumes of the XG and HS coal samples remain almost unchanged in the range of 50100°C, and within the range of 100200°C, the pore volumes of the XG coal samples are almost unchanged; however, the pore volumes of the HS coal samples increase slightly with the increase of the temperature. Additionally, within the range of 200300°C, the pore volumes of the XG and HS coal samples increase sharply with the increase of the temperature.
It can be concluded that on the microtransitional pore scales, during the heating process at 50200°C, the coal matrix has characteristics of expansion, which results in local stress concentration. When the stress is higher than the strength of the coal sample, the new pores form. The mineral composition around pores is different, and the anisotropy of thermal expansion rate leads to the closure of the original pores; thus, the volume of the microtransitional pores decreases slightly with the increase of the temperature; however, during the process of heating at 200300°C, the microtransitional pores interconnect to form the larger pores, resulting in a significant decrease in the volume of the microtransitional pores with the increase of the temperature. On the mesopore scale, during the process of heating at 50200°C, the internal pores of the coal samples dehydrate significantly, resulting in a large number of volatile substances. During the process of heating at 200300°C, the pyrolysis reaction of the coal body intensifies, and the mesopores penetrate each other and expand into the macropores, which cause the volume of the mesopores in the XG and HS coal samples to increase first and then decrease with the increase of the temperature. On the macropore scale, when the temperature increases to 300°C, the coal body is torn, and the internal pore structure extends sharply, forming a large number of macropores and even some cracks, which result in a significant increase of the volume of macropores when the temperature approaches 300°C, especially for the HS coal samples. Meanwhile, because of the different metamorphic degrees of the XG and HS coal samples, the HS coal samples with higher water and carbon contents and lower metamorphic degrees are more likely to undergo a series of physicochemical reactions under the same heating conditions; thus, the pore structure of the HS coal samples is more affected by temperature than that of the XG coal samples.
3.3. The Variation of the Porosity with the Temperature
The porosity of coal is one of the important indexes used to describe the coal structure [37]. The relationships between the porosity and the temperature of the XG and HS coal samples as determined by NMR are shown in Figure 5.
(a)
(b)
As shown in Figure 5, the porosity of the XG and HS coal samples increased with the increase in temperature, and the relationship between the temperature and the porosity satisfied the quadratic equation, as shown in formula (2): is the porosity, is the temperature, and , , and are all constants.
Figure 5 shows that the porosity of the HS coal varies more with the temperature than that of the XG coal. For the three heating processes of 50100°C, 100200°C, and 200300°C, the porosities of the XG and HS coals increase with the temperature. The results show that the degree of thermal damage of the coal sample is low during the heating process at 50100°C. Free water in the coal mass escapes outward in the form of vapor, and organic light components volatilize by heat. Meanwhile, the thermal expansion effect of the coal matrix will lead to a change in shape or even closure of some pores, resulting in a small increase in the porosity of the coal. During the heating process at 100200°C, the pores develop rapidly and extend gradually, and the pore expansion of the coal body shows a diversified trend, which result in a further increase in the porosity of the coal. During the heating process at 200300°C, the coal body gradually burns, the pore connection accelerates, and even the new fracture structure is generated, which forms the crisscross fracture network, resulting in a large increase in the porosity. In short, as the temperature gradually increases from 50°C to 300°C, the pore structure in coal undergoes several processes: water evaporation, thermal expansion of the coal matrix, generation of new cracks, and expansion of the pore networks. Thus, the cumulative thermal damage of coal increases with an increase of the temperature, resulting in a significant increase in the porosity.
4. Discussion
4.1. The Relationships between the Temperature and Fractal Dimensions Based on Spectrum Distributions
The pore structure of coal has a certain selfsimilarity, as shown in Figure 6. Based on the experimental nuclear magnetic resonance results and the basic principle of fractal geometry, the fractal model of the coal pore structure is obtained by constructing a capillary curve through the spectrum curve of the nuclear magnetic resonance experiment. Then, the fractal dimension of the coal pore structure can be obtained, and the quantitative description of the complexity of the coal pore structure can be realized. Additionally, the variation law of the fractal dimension of the coal structure at different temperatures can be further compared to reveal the mechanism of thermal damage on the pore structure evolution in the coal body [38].
The algorithm for calculating the fractal dimension of the coal structure based on the spectral curve is as follows [39]:where is the pore accumulate volume fraction corresponding to the transverse relaxation time, which is less than of the total pore volume, is the transverse relaxation time, is the maximum transverse relaxation time, is the measured pore volume fractal dimension, and is the cumulative pore volume.
Then, the fractal dimension based on the spectrum of NMR can be expressed as:k is the linear slope of fitting and based on the NMR experiments.
Based on the above equations, first, according to the change points of the relationship curve between and , the demarcation points of the fractal dimension of the pore volume are obtained [40], which are 10.7227 ms, 9.3260 ms, 24.7708 ms, and 28.4804 ms; when the values of transverse relaxation time are less than the above values, the fluid in the pores of the corresponding four coal samples is in a bound state. Therefore, the corresponding pore diameters are 0.43 μm, 0.37 μm, 0.99 μm, and 1.14 μm, respectively. The boundary points define the structure of adsorption pores and seepage pores. Then, based on the basic principle of fractal theory, λ_{max}/λ_{min} should be greater than 10^{2} [40]. Therefore, for the four coal samples taken from XG and HS, 0.0048 μm/49.31 μm, 0.0037 μm/37.30 μm, 0.0099 μm/99.08 μm, and 0.0114 μm/113.92 μm are selected as the minimum/maximum pore diameters, and the corresponding smaller pore fractal dimension, , the corresponding larger pore fractal dimension, , and the overall pore fractal dimension, , are obtained, and the calculation results are shown in Table 3.

The fractal dimension can reflect not only the fractal information of the coal body but also the complexity of the pore structure [41]. It can be seen from Table 3 that during the entire heating process, of the XG coal samples are between 2.22 and 2.48, of the XG coal samples are between 2.976 and 2.995, of the HS coal samples are between 2.55 and 2.63, and of the HS coal samples are between 2.913 and 2.989, indicating that the smaller pore structure of the four coal samples is less complex, and the larger pore structure is more complex. Among them, the small pore complexity of noncaking coal is lower than that of longflame coal. The larger pore complexity of noncaking coal is higher than that of longflame coal. Combined with Figure 4, it can be found that the content and connectivity of microtransitional pores of the noncaking coal are higher than that of the longflame coal, while the content and connectivity of mediumlarge pores of the noncaking coal are lower than that of the longflame coal. At the same time, according to the metamorphic characteristics of two coals [42, 43], it can be seen that the noncaking coal is more oxidized than the longflame coal in the initial stage of the coal formation, and the carbocyclic ring grid structure of the coal matrix is more regular, resulting in the lower complexity of micropore structure. Compared with the noncaking coal, the longflame coal contains more humic acid during the coal formation and is easy to weather and fragment during the storage. It is easier to form interconnected pore networks when forming the mesomacropore structure, resulting in the complexity of the mesomacropore structure is lower.
In order to further analyze the relationship between the fractal dimension and the temperature more intuitively, the relationships between , , and of four coal samples and the temperature are shown in Figure 7.
It can be seen from Figure 7 that, firstly, the temperature has the certain negative correlation with the , , and of four coal samples, indicating that as the temperature increases, the complexity of the internal pore structure of the coal body is mostly decreasing. The reason is that during the entire heating process, the thermal damage is accumulating, the internal structure of the coal body changes more and more drastically, and the connectivity between the pores is getting better and better, so the complexity of the pore structure is getting lower and lower. Secondly, the of four coal samples change with slightly the temperature, and change dramatically with the temperature, and with the increase of temperature, the decreasing range is more and more large, which shows that the decrease of the complexity of largescale pore structure dominates the decrease of the complexity of pore structure of the whole coal body; that is to say, the complexity of larger pores is more easily affected by the temperature under thermal damage; this is due to the fact that under the condition of thermal damage, the mesomacropores in the low metamorphic coal develop faster, and it is easier to form interconnected pore structure networks. Finally, during the heating process of 200300°C, the fractal dimension values of pore structure of four coal samples are greatly reduced. This is because when the temperature is higher than 200°C, a large number of pyrolysis products in coal escape, which is much larger than the moisture loss at the initial stage of heating up, leading to sudden changes in the coal structure, forming a large number of interconnected pore groups [44], and finally leading to the sudden decreases of the complexity of the pore structure of the coal.
4.2. The Improved TemperaturePermeability Fractal Model
According to the analyses of the above experimental results, in the whole heating process of 50300°C, the structure of the low metamorphic coal body has experienced the evaporation of internal moisture and gas, the expansion and deformation of the coal matrix, the gradual connection of pore channels, and the generation of microcracks. These structural changes reflect the changes in the complexity of coal pores and the fractal characteristics and permeability of coal. This has a great influence on the fractal characteristics and permeability characteristics of coal. In this paper, starting from the relationship between the temperature and porosity, taking the fractal dimension as a bridge, the fractal model of temperaturepermeability is constructed to quantitatively describe the influence mechanism of temperature on coal permeability characteristics.
Yu and Li [45] deduced the fractal dimension of the pore area and tortuosity based on the fractal characteristics of the pore structure in porous media. is the minimum pore diameter, is the maximum pore diameter, is the porosity, and is the theoretical fractal dimension of the pore area; among them, for twodimensional space and threedimensional space, the fractal dimension ranges are 0<<2 and 0<<3, respectively. is the average tortuosity, is the average capillary diameter, , is the length of a unit square on which a set of pores or particles distributes whose fractal distribution is assumed to be satisfied, , and is the fractal dimension of tortuosity; among them, for twodimensional space and threedimensional space, the fractal dimension ranges are 0<<2 and 0<<3, respectively.
The fractal permeability model is based on the capillary bundle model [46–48], as shown in formula (7): is the maximum pore radius, is the theoretical fractal dimension of pore volume in threedimensional space, is the tortuosity fractal dimension in threedimensional space, is the porosity, and is the liquid permeability.
The temperaturepermeability fractal model can be obtained by substituting the fitting relationship in Figure 5 and into formula (7), as shown in formula (8). is the maximum pore radius, is the larger pore fractal dimension, represents the complexity of the seepage pore structure, is the tortuosity fractal dimension in threedimensional space, is the temperature, is the liquid permeability, and , , and are all constants.
The calculation results of the parameters obtained from formulas (5)–(8) are summarized in Table 4.

The relationships between the permeability measured by formula (7), formula (8), and the NMR fluid experimental temperatures for the four coal samples are shown in Figure 8.
(a)
(b)
As shown in Figure 8, is calculated by formula (8). The larger pore part parameter is selected as the effective seepage channel size, including the larger pore fractal dimension , while is calculated by formula (7), the theoretical fractal dimension of pore volume is used to calculate the permeability, and the calculation result is more ideal. However, the real pore structure inside the coal body is complex and tortuous, and there are dead or closed pores. Therefore, the calculated theoretical permeability is different from the permeability calculated by the improved model, ; meanwhile, is the NMR test liquid to measure the permeability, whose target object is the full pore structure parameters of the entire coal body. At the same time, when the temperature is increased to 200 and 300°C, due to the high temperature, new cracks in the coal body are constantly produced, the pore structure is drastically changed, the connectivity between the pores is greatly enhanced, and the coal body is fragile and unstable, resulting in excessive seepage, so the NMR liquid permeability values of the water injection coal samples are too high, so is much larger than and .
To provide a more specific analysis and comparison, the temperature and permeability obtained by the above three methods are fitted separately. The fitting relationships are shown in Table 5.

As shown from Table 5, the permeabilities obtained via the three methods generally all obey the exponential function relationships with the temperature, and there are the positive correlations. Upon comparing the trend of the permeability obtained by three methods with the temperature fitting equations, the trend of with temperature is closer to that of obtained from NMR than that of . At the same time, based on the above analyses, the is too high at high temperature (200300°C), so the improved temperaturepermeability fractal model using formula (8) can better calculate and predict the liquid permeability of the coal body at 200300°C (even at the higher temperature); that is, the temperature, coal body structure parameters, and fractal dimensions are combined to obtain the more accurate liquid permeability of the coal body, and then, the coal permeability characteristics can be further analyzed and discussed.
The change rule of the permeability obtained using three methods is that the permeability increases with an increase of the temperature. In the temperature range of 50200°C, water and an organic matter evaporation effect occur in the mesomacropores, and the volume of the mesomacropores continuously increases. However, the thermal expansion of the coal matrix occupies the microtransition pores, resulting in a slower increase in the porosity and less opening of the seepage channels under thermal damage; thus, the increase of the permeability is also slower. In the temperature range of 200300°C, the pyrolysis reaction inside the coal body is dramatic. The mesomacropores connect with each other, expand, and even generate new cracks, which lead to the generation of crisscross pores and fracture networks and a continuous increase in the porosity. Additionally, a large number of seepage channels open and ultimately develop in a direction conducive to improving the permeability of the coal, effectively improving the permeability characteristics of the coal. With the accumulation of thermal damage, the complexity of the pore structure decreases, the porosity increases, the connectivity increases, and the permeability significantly increases. Therefore, compared with calculated using formula (7), the trend for obtained by formula (8) is closer to the measured value of the NMR fluid with an increase of the temperature, which provides the strong theoretical support for further research on the pore structure evolution and permeability characteristics of coal under thermal damage. It also provides the basic theoretical study on stably controlling the underground gasification process and improving the geothermal exploration and mining technology.
5. Conclusions
(1)In this paper, the innovative nuclear magnetic resonance experiment with a temperature control system is used to analyze the evolution mechanism of the pore structure of coal under thermal damage, and the variation rules of the pore size distribution, the porosity, and the permeability of coal in different heating processes are obtained(2)The porosity of coal samples increases with an increase of the temperature; the mesomacropore structure is more susceptible to the temperature than the microtransitional pore structure; the lower metamorphic degree, the more susceptible the coal is to the temperature(3)As the temperature continues to increase, the fractal dimension value calculated based on the fractal theory to characterize the complexity of the coal body pore structure is between 2 and 3, and the fractal characteristics of the coal body structure have not disappeared with the increase of temperature. It is known that with an increase of the temperature, the complexity of the coal pore structure becomes lower and lower, and the reduction in the larger pore structure complexity dominates the reduction of the pore structure complexity of the whole coal body(4)Based on the theoretical fractal model of the permeability, a fractal model of temperaturepermeability is constructed in this paper. With an increase of the temperature, the change law of permeability calculated using the improved model is consistent with that of the permeability measured by NMR. As shown, thermal damage can increase the connectivity and permeability of the coal body, effectively improving the permeability of the coal body and providing the basic theoretical research for the underground coal gasification and geothermal mining
Data Availability
Some or all data, models, or code generated or used during the study are available from the corresponding author by request (experimental equipment parameters, laboratory experimental results data, etc.).
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Acknowledgments
The authors would like to acknowledge the support of the National Natural Science Foundation of China (grant number 51604168, 51934004); the Key Research and Development Plan of Shandong Province, China (grant number 2019GSF111033); the Major Program of Shandong Province Natural Science Foundation (grant number ZR2018ZA0602); and the Taishan Scholars Project Special Funding (grant number TS20190935).
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