Micro-Porosity and gas emission characteristics of thermally contacted metamorphic coal by igneous intrusion

Introduction

China’s northeast region is rich in coal resources, but igneous intrusion is common Igneous rock activity in Tiefa Daxing Coal Mine is much developed, which has direct correlation with coal and gas outbursts, and fire disasters. Therefore, the impact area of igneous rock on safe mining has become a significant issue.

Coal is a porous medium with dual structure of pores and fractures. The characteristics of pore structure have a controlling role in the behaviors of gas storage and transport (adsorption, diffusion and seepage), which will directly determine the gas emission of coal. The investigation on pore characteristics has a crucial role in the prevention of coal and gas outburst (Fu et al., 2017). Coal seams are subjected to different degrees of metamorphism by igneous intrusion, which changes the microstructure and macroscopically, as well as the adsorption and dispersion characteristics (Fan et al., 2022; Zhou et al., 2022). As a result, the gas outburst risk of coal seams is changed. The metamorphism raised by igneous intrusion includes regional metamorphism, contacted metamorphism, and dynamic metamorphism. Due to the different period and mode of metamorphism, the regional metamorphism has obvious influence on coal seam zoning. The large scope of the action, the stable assignment of the metamorphic zone. Contacted metamorphic coal has small scope of action and unstable assignment of metamorphic zone, and is easy to form highly metamorphic coal (Arora et al., 2017; Fan et al., 2021; Teicherta et al., 2022).

The effect of soluble organic matter on the specific surface area pore volume, average pore size and porosity of coal has been researched (Yang et al., 2018). Some scholars concluded that the porosity of coal seam shows a change pattern of increasing and then decreasing as the distance to igneous rocks gets closer (Wang, 2015; Zhang et al., 2019). Li et al. studied the microscopic pore characteristics of coal by combining SEM-PCAS with gas adsorption methods (Li et al., 2022). Temperature has a significant transforming effect on the pore structure of coal, especially the macropore and microporous structure (Zhao et al., 2021). The quantitative analysis is also limited to the pore volume statistics.

Previous studies have verified that the initial velocity of gas emission increases with the degree of metamorphism (Liu and Wang, 2013; Song et al., 2019). The initial velocity of gas emission is experimentally related to the specific surface area of coal as a primary function (Luo, 1989; Wang et al., 2021). The larger the pore specific surface area, the smaller the initial velocity of gas emission (Wang et al., 2020). There is also a primary function between the specific surface area of micropores and the initial velocity of gas emission, and the initial velocity of gas emission decreases exponentially with the degree of metamorphism (Zhao et al., 2017). In conclusion, it is believed that the initial velocity of gas emission increases with the degree of metamorphism. Chinese scholars have used Δp (ie, Δp10-60, representing the emission amount from 10 s to 60 s) to characterize the gas emission rate of coal when carrying out the above researches. Although the Δp indicator has high practical value in field application, it is impossible to describe the microscopic characteristics of the release velocity curve in the first 60 s when conducting in-depth scientific research. Some literatures have mentioned that this indicator may have missed the outburst prediction in metamorphic coal by igneous intrusion. However, there are few literatures on the contacted metamorphic coal.

The scale, shape, structure, number, fractal and other factors of pore-fracture directly affect the gas emission characteristics of coal, and can also in turn infer and verify the coal microstructure. Pore-fracture analysis system (PCAS) is a special software for identifying and quantitatively analyzing pore systems and fracture systems, and PCAS has been successfully applied in quantitative identification and structural analysis of pore-fractures in geotechnical soils and shale pore-fractures (Liu et al., 2011; Lin et al., 2016; Wang et al., 2016; Liu et al., 2017; Wang et al., 2017; Zhao et al., 2020). In this paper, the microscopic characteristics of 5 coal samples of No. 9 coal in Daxing Coal Mine were researched and analyzed by using scanning electron microscope (SEM) and pore fracture analysis system (PCAS), and the emission velocity curve in the first 60 s were measured and described. The internal relationship between the microscopic characteristics of thermally contacted metamorphic coal and the macroscopic performance of the emission characteristics will be revealed to provide guidance for prevention of the gas disaster resulted from igneous rock intrusion.

Collection and description of coal samples

Collection of coal samples

The experimental coal samples was selected from the No. 9 coal seam in the North 2# mining area of Daxing Coal Mine. The coal seam is 4 m thick, with local basal shallow faience intrusions - mostly existing as a rock wall or a bed of intrusion along the top and bottom plate and locally engulfing the coal seam to form a coal-free zone, as shown in Figure 1. The gabbro intrusions in N₂908 panel have been uncovered many times near the in-seam roadway and the open cut. Hence, they are the ideal sampling sites. 5 coal samples were collected this time, and the sampling locations are shown in Figure 2.

FIGURE 1

FIGURE 1. Thermally contacted metamorphic coal.

FIGURE 2

FIGURE 2. Location of sampling coals.

Industrial analysis of coal samples

The industrial analysis data of the coal samples is listed in Table 1. The coal distancing 8 m from the intrusion is characterized by the moisture of 4.46%, fixed carbon of 40.58%, ash of 10.11% and volatile matter of 44.85%. The change trend is not obvious. In the range of 0.4 m–5.5 m, the internal moisture of coal was heat gasified by the high temperature baking effect during the intrusion of igneous rocks, and the moisture content of all coal samples is lower than that of normal coal samples, with the lowest ∼1.58%. The ash content of coal with igneous intrusion increases from 10.11% to 19.29% compared to that of normal coal. As the distance from igneous intrusion decreases, the volatile content decreases from 44.85% to 8.89%, and the metamorphic area is obviously lower than normal coal. Due to the decrease of water and volatile matter, the percentage of fixed carbon increases, from 47.19% at 5.5 m to 69.55% at 0.4 m.

TABLE 1

TABLE 1. Industrial analysis of coal samples.

Pore characteristics of contacted metamorphic coal samples

Observation of pore shape in coal samples using SEM

The SEM model Jsm-7800f was used to observe the pore shape in coal samples. The collected coal block was processed to be cubic samples with a size of 5 mm × 5 mm × 5 mm. The surface of these coal samples were coated with a layer of gold with a thickness of 5–10 nm to enhance the conductivity of the surface. Then the coated coal samples were put into the sample chamber, and evacuated it to 10∼3 Pa. The magnification of 500–100000 times were selected to observe the images. Problems of differences in scanned images caused by different scanning positions can be solved by using multi-point scanning.

The primary low-metamorphic coal in the No. 9 coal seam in the North Second Mining Area of Daxing Coal Mine has good homogeneity and integrity, as shown in Figure 3A. There are few 1um-level pores in this area, and pores can be seen above the magnification of 10,000. Pores are seen in all coal samples, but more in metamorphic coals, as shown in Figure 3B. Fast metamorphism rate is a significant external factor for the development of pores. Thermally contacted metamorphism is characterized by high temperature, low pressure, short time, fast metamorphism rate, and obvious gas generation peak. The solidified hydrocarbon-rich components in coal are easy to soften, flow and gasify, resulting in well development of the pores. A series of small-scale parallel fissures appear in the uniform vitrinite of metamorphic coal, which do not penetrate the entire sample, are perpendicular to the bedding without crossing the bedding plane. They are arranged in parallel at equal intervals and are not connected to each other, proving that these fissures are endogenous fissures in the process of coal metamorphism. As shown in Figure 3C, the shape of the hydrostatic fractures can be classified as plate shape. Breccia pores are distributed in all coal samples, but more developed in metamorphic coals with complex and changeable shapes and good connectivity, as shown in Figure 3D. Illite is present in the breccia pores of metamorphic coals (Hwang and Pini, 2019).

FIGURE 3

FIGURE 3. Types of coal pores at the test site.

Binarization of SEM images

The SEM images were analyzed by using PCAS, and the image unit radius was set to 1 pixel (pix) and the minimum analysis area was 5 pix. Coal pores were divided into four categories: micropores (<10 nm), small pores (10–100 nm), mesopores (100–1000 nm) and macropores (>1000 nm) (Huoduote, 1966). Due to the irregularity of the pore shape, on the SEM plane images, the circular area was used to classify the pores: micropores (<78.5 nm²), small pores (78.5–7850 nm²), and mesopores (7850–785000 nm²) and macropores (>785000 nm²) (Li et al., 2022). This method can better identify small, medium and large pores, but the accuracy of identifying micropores is poor even with a maximum 100000-fold SEM image. The images were binarized, as shown in Figure 4.

FIGURE 4

FIGURE 4. SEM and parametric processing of pictures.

Figure 4A and Figure 4B belong to thermally contacted metamorphic coal samples, the surface is mainly polycondensation cracks or pores in endogenous fissures, and the surface is filled with minerals. The fractal picture shows that the fissures are curved, non-directional, and have different lengths, irregular shape. Figure 4C is a coal sample damaged by shear stress structure, which is filled with minerals in the later stage, and the surface is honeycomb-like distribution. Figure 4D and Figure 4E are normal coal samples without obvious damage, and the surface is relatively continuous flat. Figure 4F is more complicated to damage, reflecting in pores caused by endogenous evanescent condensation and condensation, and compressive fractures caused by tectonic stress damage.

Characterization of pore by PCAS method

Geometric characteristics of pores in coal

According to the characteristics of adsorption loops, pores in coal are generally divided into cylindrical, slit, wedge and ink bottle shapes. For the binarized images of SEM, the morphological characteristics of pores should include three independent characteristics, namely pore shape (overall outline, such as roundness), angularity (curvature of corners and edges of pores) and pores surface roughness, as shown in Figure 5. The three represent the spatial variation of the pore profile at different dimensional scales. The following attempts to quantitatively characterize individual pores and regional pore aggregates by using different methods.

FIGURE 5

FIGURE 5. Schematic diagram of overall shape, angularity and surface roughness of pores.

Fourier series can be used to describe the morphological characteristics of pores (roundness, angularity, roughness) (Kandasami and Murthy, 2017; Barone and Sen, 2018; Wenjuan et al., 2018; Ren et al., 2021). The Fourier series equation describing the boundary contour of the stack pores is:

$R(\theta )=a_0+{\displaystyle \sum }_{m=1}^{\infty }(a_m\cos )m\theta )+b_m\sin (\theta ))(1)$

Where $a_m$ and $b_m$ are the Fourier coefficients; and m is the frequency; $R\left(\theta \right)$ is a function of the azimuth angle θ (0°≤θ≤360°), indicating the distance from the center of the pore to its contour boundary, which is obviously a periodic function; a₀ is the average radius of the pores.

$a_0=\frac{1}{2\pi }\underset{0}{\overset{2\pi }{{\displaystyle \int }}}R\left(\theta \right)d\left(\theta \right)(2)$

$a_m=\frac{1}{\pi }\underset{0}{\overset{2\pi }{{\displaystyle \int }}}R\left(\theta \right)\cos \left(m\theta \right)d\left(\theta \right)(3)$

$b_m=\frac{1}{\pi }\underset{0}{\overset{2\pi }{{\displaystyle \int }}}R\left(\theta \right)\sin \left(m\theta \right)d\left(\theta \right)(4)$

Since R(θ) and θ are discrete variables, the above integral expressions can be listed in the form of summation. The area of the pore contour in Figure 5 can be described as:

$A=\underset{0}{\overset{2\pi }{{\displaystyle \int }}}\frac{1}{2}{R}^2\left(\theta \right)d\left(\theta \right)=\pi \left[a_0^2+\frac{1}{2}{\displaystyle \sum }_{m=1}^{\infty }{a}_m^2+b_m^2\right](5)$

Among them, $a_0$ is the average equivalent radius of the circle, that is, the boundary is surrounded by boundary lines of equal area. Therefore, the Fourier index α of the pore morphology characteristic is defined as:

$\alpha =1+\left({\alpha }_s+{\alpha }_r+{\alpha }_t\right)(6)$

${\alpha }_s=\frac{1}{2}{\displaystyle \sum }_{m=1}^{m=n_1}\left[{\left(\frac{a_m}{a_0}\right)}^2+{\left(\frac{b_m}{a_0}\right)}^2\right](7)$

${\alpha }_r=\frac{1}{2}{\displaystyle \sum }_{m=n_1+1}^{m=n_2}\left[{\left(\frac{a_m}{a_0}\right)}^2+{\left(\frac{b_m}{a_0}\right)}^2\right](8)$

${\alpha }_t=\frac{1}{2}{\displaystyle \sum }_{m=n_2+1}^{m=\infty }\left[{\left(\frac{a_m}{a_0}\right)}^2+{\left(\frac{b_m}{a_0}\right)}^2\right](9)$

Eqs. 7, 8, and Eq. 9 define the Fourier shape index, angularity index, and surface texture index of pore morphology, which are functions of m. The larger m is, the closer $R\left(\theta \right)$ in Eq. 2 is to the real boundary of the pores, and the Fourier indices of Eqs. 7, 8, and Eq. 9 can better reflect the morphological characteristics of the pores.

Total length of holes (cracks) in studied area

The length of the simple hole (crack) can be represented by the long axis L₁, and the length of the complex hole (crack) is represented by multiple continuous broken lines. Hole (crack) gap bifurcations or intersections are individually marked as nodes, such as point P in Figure 6B. Complex holes (cracks) can be simplified as graphs (graph theory term for discrete mathematics), where C, D, and E are the vertices of the graph, and PD, PE, and PC are the edges of the graph. The total length of the hole (crack) in the area after the graph is calculated can be expressed as:

$L_a={\displaystyle \sum }_{K=1}^{\mathrm{p}}\left({\displaystyle \sum }_{j=1}^m{\displaystyle \sum }_{i=1}^n{L}_{j-i}\right)(10)$

Where $L_a$ is the total length of the pores in the region, pix (pixels); $L_{j-i}$ is the length of the i-th line segment in the j-th side, pix; i, j, k are the serial numbers of line segments, edges, and complex pores, respectively; n, m, p are the number of line segments, edges, and complex pores, respectively.

FIGURE 6

FIGURE 6. Calculation of the total length of the hole (crack) gap.

The total pore length comprehensively characterizes the degree of pore development and pore shape. The total length L_a of regional pores (cracks) is related to the shape of a single pore (crack), and is also determined by the shape and number of pores (cracks). The larger the $L_a$ value, not only means that the pores are relatively developed, but also the probability of pore connectivity is higher, and the gas flow resistance is smaller.

Shape factor of pores

Under the same pore volume, due to the different pore surface characteristics and shapes, the specific surface area may vary greatly, showing the difference in the gas adsorption capacity on the macroscopic level. However, due to the difference in the pore shape, the porosity and specific surface area cannot be directly determined. The ability of the coal to release gas. In the coal micro-pore system, pores and fissures cannot be strictly distinguished, especially for severely damaged coal. Therefore, in certain cases, the two can be treated equally and described by the shape factor.

The ratio of the square of the pore contour perimeter l to the pore contour area is defined as the shape factor of the pores, namely:

$N_a=\frac{l^2}{4\pi S}(11)$

where N_a is the shape factor of the pores; l is the perimeter of the pore contour, pix; S is the pore contour area, pix² (pixel²).

For binarizated images of coal pores, the shape factor of pores represents the perimeter of a certain area of pores, which depends on the circularity and rough edges of the pores. The larger the value, the narrower the pores and the rougher the boundary. The larger the N_a, the greater the probability that the pores (cracks) are connected to each other. The ideal circular $N_a$ value is shown in Figure 7.

FIGURE 7

FIGURE 7. Shape factors for different geometries.

Equation. 11 is suitable for describing the shape characteristics of a single pore (crack), and statistical methods can be used to describe the group characteristics of pores (cracks). If the total perimeter and total area of pores (cracks) in the specific area are known, the average shape factor $N_0$ of the pores can be obtained, and the $N_0$ value can characterize the performance characteristics of the pores (cracks) in the specific area. The larger the value of $N_0$, the larger pore contour perimeter (representing the specific surface) in the region, and the better interconnectivity between the pores, in the same region of pore profile area (representing the pore volume).

$N_o=\frac{{\left({\sum }_{i=1}^{i=n}{l}_i\right)}^2}{4\pi {\sum }_{i=1}^n{S}_1}(12)$

Where $N_0$ is the average shape factor of the pores; $L_i$ is the perimeter of the i-th pore contour, pix; $S_i$ is the i-th pore area, pix².

Binarization quantitative analysis of coal pore characteristics

The PCAS analysis can accurately identify all pores larger than 5 pixels in the electron microscope image through the algorithm, then use image analysis software to calculate fractal, and obtain porosity, shape factor, fractal dimension, and finally calculate the total length of pores.

Pore volume based on PCAS analysis

The parameters such as pore area, perimeter, shape factor, and fractal dimension are counted according to macropores, mesopores, small pores, and micropores, respectively, as shown in Figure 8. The number of pores is counted according to the unit area of 1220000pi.

FIGURE 8

FIGURE 8. PCAS analysis of each coal sample.

For metamorphic coal and non-metamorphic coal samples, no obvious difference is found in the porosity and pore number of small pores. Statistics show that the macropores and mesopores of 2# and 6# metamorphic coal samples and the number of pores is generally larger than those of the other coal samples, indicating that the thermal contacted metamorphic coal samples have more macropores and mesopores than the other coal samples.

The fractal dimension reflects the validity of the space occupied by the coal matrix and is used to measure the irregularity of the coal. The statistical results show that there is no obvious regularity in the change of fractal dimension with the degree of metamorphism of the five coal samples.

The total length of the macropores of the 2# and 6# coal samples of metamorphic coal is more than 78806200 nm, which is 31% higher than that of normal coal samples. The total length of mesoporous pores reaches more than 628019000 nm, which is 29% higher than the average value of other coal samples.

The shape factors of each coal sample were statistically analyzed and compared. As shown in Figure 9, the shape factors of macropores, mesopores and small pores are 3.8–4.3, 3.47–3.88, 2.2–2.8, respectively, and the average values are 4.01, 3.65, and 2.53, respectively. The average shape factor of large pores of non-metamorphic coal samples is 3.89, and the average shape factor of large pores of metamorphic coal is 4.12, which is 7.5% higher than the former. The average shape factor of mesopores in non-metamorphic coal samples is 3.62, and the average shape factor of mesopores in metamorphic coal is 3.71, an increase of 2.4% compared with the former. For metamorphic coal and non-metamorphic coal, the average shape factors of the pores are 2.50 and 2.55, respectively, and there is no significant difference between the two. It shows that the macropore and mesopore shape factor values of thermal contacted metamorphic coal samples have a certain increase, that is, for the same pore volume, the probability of inter-pore connectivity increases significantly, which is more conducive to the movement of methane molecules.

FIGURE 9

FIGURE 9. PCAS shape factor analysis of each coal sample.

Determination of micropores by nitrogen adsorption at low temperature

It is difficult to distinguish pores below 5 nm by using SEM images of 100,000 times, so the specific surface area and micropore pore volume were determined by low-temperature nitrogen adsorption method. The specific surface area analyzer was used to compare the surface area and microvolume volume by conducting a low-temperature nitrogen adsorption test (Zhao et al., 2016), and the results are listed in Table 3 (Qiang, 2017).

TABLE 2

TABLE 2. Statistical comparison of PCAS of coal samples with different grades of pores.

TABLE 3

TABLE 3. Characteristic parameters of microporous pores.

The specific surface area of coal is proportional to the amount of adsorption (Zhu et al., 2021), and its value mainly depends on the micropore system. The degree of development of micropores determines the adsorption capacity of methane on coal. The measured specific surface area of metamorphic coal is only 38.7% that of normal coal, and the pore volume of micropores is only 32.9% that of normal coal. Due to thermal contacted metamorphism, the pore volume and specific surface area of the microporous system are greatly reduced, and the gas adsorption capacity is weakened.

Comparative tests on coal emission characteristics

Methods and instruments of measurement

Under a certain gas pressure, the coal reaches adsorption equilibrium, and then it is quickly released to the external low-pressure space. The measured gas release speed is the gas emission rate. Coal particles in free state are not subjected to mechanic stress, and the micropore (crack) system remains in a natural state and is basically stable. The experiments on the gas emission rate were carried out using the developed WT-1A gas emission velocity measuring apparatus. The sensor response speed is 10 ms, the sampling frequency is 1000Hz, and 2 coal samples can be tested at one time. The gas source uses standard gas with a purity of 99.99%. The coal samples were crushed and dried. Coal samples of 5 g with a particle size of 0.25–0.5 mm were screened and loaded into the instrument. After degassing for 90 min, they were inflated for 90 min at a pressure of 0.1 MPa, and measured in a venting space with a pressure close to vacuum.

Measured results of gas emission amount and rate

The measured gas emission curve is shown in Figure 10. On the whole, there is little difference in the cumulative emission of all coal samples, but the curves are very different in the three stages of gas emission. In the first stage, the emission rate of all samples increases sharply, and the gas emission rate reaches the maximum value in an instant. The emission rate of the 2# coal sample closest to the intrusive body increases significantly. The emission amount reaches 4.45 ml/g in 1s, reaching 94% of the emission amount in 60 s. The 3#, 4#, 8# coal samples grow relatively slowly. In the second stage, an inflection point appears in the emission curve, and the increase in emission slows down significantly. The 2# and 6# coal samples have a fast decay rate, from 0.3 ml/g to 0.01 ml/g, and the inflection point appears earlier than other coal samples. The cumulative emission of 2# and 6# coal samples at the end of this stage account for 99% of the total emission in 60 s, and the emission amount is overtaken by the 3# coal sample. The gas emission of 3#, 4# and 8# coal samples still maintain a relatively rapid growth rate. In the third stage, the emission rate of coal samples stabilizes and the growth rate slows down. The emission amount of 2# and 6# coal samples only accounts for 1% of the total emission amount in the first 60 s. Generally speaking, in the first stage, the proportion of the 2# and 6# coal samples in the total emission is much higher than that of the other coal samples. In the second and third stages, the cumulative emission of the 2# and 6# coal samples is much lower than that of the other coal samples.

FIGURE 10

FIGURE 10. Gas emission curve of raw coal.

In the experiment, the pressure difference inside and outside the coal particles and the concentration gradient difference are the driving forces for the flow of methane molecules in the coal particles. The gas emission rate depends on the coal adsorption capacity and the resistance of methane molecules to move. The more developed the micropores, the greater the adsorption capacity of methane, the greater the number of stored methane molecules, the more gas sources in the emission process, and the greater the cumulative emission amount. Due to the small particle size of the experimental coal sample, the short migration route of methane molecules and the fast overall release rate, the emission amount in 0–60s can largely reflect the total amount of emission. Δp is basically equivalent to the gas emission from 0 to 60s in application (Fu, 2006). Taking the distance from the intrusive body as the abscissa, the two parameters and the volatile content were plotted as a curve, as shown in Figure 11. Different from the conclusions of most literatures, whether it is the Δp value or the accumulated amount of gas released from 0 to 60 s, the trend is not monotonically decreasing with the increase of the intrusion distance, and even has an increasing trend. The reasons for this are further analyzed below. Referring to the results of PCAS analysis and low-temperature nitrogen adsorption method, the micropore volume and specific surface area of each coal sample were compared and analyzed with the total emission in 0–60 s, the average volatile content and the specific surface area of thermal contacted metamorphic coal are 14.16% and 6.04 m²/g, which are much smaller than 37.63% and 15.6 m²/g of normal coal. Its micropore volume is 1.88 ml³/g, much smaller than 5.72 ml³/g of normal coal. The emission amount of metamorphic coal in 0–60s is 4.67 ml/g, while that of normal coal is 4.9 ml/g. Tthe average value of the total emission of normal coal in 0–60 s is larger than that of metamorphic coal in terms of macroscopic performance. PCAS analysis shows that normal coal does not develop macropores and mesopores, but has large specific surface area, high micropore porosity, larger methane adsorption capacity, and more gas sources during the release process. The farther away from the intrusive body, the higher the volatile matter, the larger the Δp value, the better the continuation of the emission process, and the slower the decay.

FIGURE 11

FIGURE 11. Variation of Δp value and total gas emission in 0–60s of coal in igneous rock intrusive zone.

The increase in ash content caused by thermal contacted deterioration is also another reason for the decrease in the total emission from 0 to 60 s. Non-coal minerals occupy a part of the volume of raw coal, but its effective pores are very few. Observation of coal SEM shows that pyroxene, quartzite, illite, feldspar and other crystals are filled in the primary pores, blocking the gas migration channel.

The above PCAS analysis shows that thermal contacted metamorphic coal has small specific surface area, low microporosity, smaller methane adsorption capacity, fewer stored methane molecules, and relatively fewer gas sources during the release process, and the closer it is to the intrusion, the lower the volatile matter, the smaller the total emission. However, the porosity, total pore length, and pore number of the macropores and mesopores of thermally contacted metamorphic coal are larger than those of normal coal. It has more developed migration channels, and methane molecules have little resistance to movement, resulting in a violent gas emission in a few seconds before the test, followed by a rapid decay.

Mathematical characterization of gas emission from metamorphic coal

The gas emission velocity curve of the raw coal can well conform to Vt=V₁t^−α, and the fitted curve is shown in Figure 12 (Fu, 2006; Zhao et al., 2022; Zhu et al., 2022). The V₁ is defined as the gas emission velocity in the first second, and the α is defined as the attenuation coefficient. The curve of V₁ via V_daf is shown in Figure 13, with fitting formula of Eq. 13, and R²of 0.98. The V₁ value of the 2# and 6# coal samples is significantly larger than that of the other coal samples. With the increase of volatile matter, the V₁ decreases monotonically, satisfying the quadratic nonlinear relationship.

$V_1=0.62-0.02V_{daf}+2.4\times {10}^{-4}{V}_{daf}^2(13)$

FIGURE 12

FIGURE 12. Curve of gas emission velocity of raw coal.

FIGURE 13

FIGURE 13. Fitting curve of V₁ value of coal sample in igneous intrusion zone.

The relationship of α value and the volatile content are fitted linearly, as shown in Figure 14. The fitted formula is shown in Eq. 14. The value of α decreases linearly with the increase of volatile content.

$\alpha =2.6-0.04V_{daf}(14)$

FIGURE 14

FIGURE 14. Fitting curve of attenuation coefficient values of coal samples in igneous intrusion zone.

Microscopic interpretation of gas emission from the metamorphic coal

When the covering layer of the coal seam is thin, the shallow intrusive bodies such as rock walls, dykes, and rock beds contact or intrude into the coal seam. Because of their high temperature, volatile matter and pressure, and the coal undergoes thermal contacted metamorphism. After the water and volatiles are gasified and released, the coal is rapidly cooled and transformed into natural coke and highly metamorphic coal. This rapid heating process is similar to the coking process. On the one hand, the gasification of volatiles causes the formation of pores in the coal body, on the other hand, the gasification of volatiles escapes to form more throats or pores to connect the pores with each other. Rapid cooling makes these structures fully retained, resulting in the development of macropores and mesopores with complex, long - narrow pore shape, and greater connectivity. For the same gas content, the gas release rate is faster in a short period of time (0–1 s), the V₁ value is larger, and the inflection point decays earlier (within 2 s), which increases the amount of released gas in the second and third stages. In the cooling process after thermal contacted metamorphism, re-compaction causes the micropores to shrink, and the micropore volume and specific surface decrease, resulting in a decrease in the adsorption capacity. This is manifested as a smaller Δp value. On the contrary, the normal coal sample has stronger adsorption capacity and can store more methane molecules, but the development of macropores and mesopores is relatively poor, and it cannot escape quickly within a few seconds. The decay is slow, but more gas can be released within 0–60 s, showing a larger Δp value.

When coal and gas outbursts occur, the gas release capacity in a very short period of time will play a more significant role in promoting the outbursts. In actual production, if the Δp value is used to characterize the gas emission rate of thermally contacted metamorphic coal, there may be a phenomenon that the Δp value does not exceed the critical value, but still has outstanding danger. In particular, when thermally contacted metamorphic coal is affected by tectonic stress and is in a high stress and high gas pressure area, the microporous system can still store enough methane molecules, and it is very prone to outburst during mining. Therefore, it is more reasonable to use the V₁ index to measure the gas emission rate of thermally contacted metamorphic coal.

Conclusion

1) As the distance from the igneous rock intrusion decreases, the volatile matter and water content tend to decrease, and the ash content gradually increases. The direct contacted position generates natural coke and high metamorphic coal.

2) The PCAS analysis on porosity and pore quantity index of thermal contacted metamorphic coal show that there is no obvious difference of small pores between metamorphic coal and normal coal, while the large and medium pores in metamorphic coal are generally larger than the that of normal coals. The pore volume and specific surface area of micropores decrease significantly, and the adsorption capacity is weakened. The total pore length and average shape factor of macropores and mesopores in per unit area of thermally contacted metamorphic coals increase compared with normal coals, indicating better connectivity among pores.

3) V₁ and volatile matter conform to a parabolic equation, and V₁ decreases monotonically with the volatile matter. The decay coefficient α value has a linear relationship with the volatile matter, and the α value decreases linearly with the volatile matter.

4) Micropore shrinkage in thermal contacted metamorphic coal leads to a decrease in the total amount of gas emission and Δp value in 0–60 s but the development of macropores and mesopores will form more throat pores, and initially sharp increase of the emission amount. And the emission amount within 1 s accounts for the total amount of emission is larger than other samples. The inflection point appears earlier, the attenuation is faster, and the gas emission ability is enhanced within a few seconds, namely the V₁ value increases.

5) In field applications, it is more reasonable to use the V₁ index, the gas emission velocity in the first second, to characterize the gas emission rate of thermally contacted metamorphic coal.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

XF, as an industry expert, guided and completed the overall content of the paper and provided relevant experimental conditions. HL is the main writer of the paper, and is responsible for completing the sampling, SEM experiments, gas emission experiments and data analysis. HS assisted in the completion of the SEM experiment and the gas emission experiment, and assisted in the completion of the relevant data processing. ZW provided guidance on scanning electron microscopy and microscopic analysis as an instructor, and provided great support for the completion of the thesis. XL completed the fractalization of SEM images, applied computer software to carry out PCAS analysis, and researched and analyzed the data.

Funding

This research was financially supported by the National Natural Science Foundation of China (Grant Nos. 52174117, 52004117), and the project supported by the discipline innovation team of Liaoning Technical University (Grant No. LNTU20TD-30).

Acknowledgments

The author(s) would like to thank all editors and reviewers for their comments and suggestions.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/feart.2022.1040147/full#supplementary-material

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