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Coupled Mechanical and Hydraulic Properties of Fracture Networks

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Volume 2021 |Article ID 6672424 | https://doi.org/10.1155/2021/6672424

Xiaohu Zhang, Hui Li, Chunguang Wang, Zhifeng Zhao, Lifeng Li, Xiao Wang, "Experimental and Numerical Simulation of Desorption and Diffusion Process of the Adsorbed Gas in Coal Rock under Isothermal Conditions", Geofluids, vol. 2021, Article ID 6672424, 15 pages, 2021. https://doi.org/10.1155/2021/6672424

Experimental and Numerical Simulation of Desorption and Diffusion Process of the Adsorbed Gas in Coal Rock under Isothermal Conditions

Academic Editor: Shengnan Nancy Chen
Received02 Jan 2021
Accepted03 May 2021
Published24 May 2021

Abstract

Investigation of desorption of diffusion migration of native adsorbed gas in coal under the action of temperature has always been one of the important directions of coal mine safety research. Five coal samples from the Sichuan Furong mining area are studied under the different isothermal conditions (35°C, 30°C, 24.5°C, 36.2°C, and 40°C) by means of laboratory tests; the desorption, diffusion, and migration processes of adsorbed gas were studied; the escaped gas volume in the process of diffusion, the escaped gas pressure, and the change of the concentration of the gas component content are summarized; and the emitted gas volume curve will be eventually found to be constant under the isothermal process. In addition, the escaped gas concentration showed a trend of increasing first and then decreasing. Based on the CT scan slice of coal samples, a network model of coal fracture based on the Tyson polygon contraction method is established in this paper, and LS-DYNA software is used to analyze the transient diffusion behavior of methane under three isothermal conditions (24.5°C, 30°C, and 42°C), and the experimental results are verified.

1. Introduction

Coal is one of the most important energy sources in the world; with the increasing shortage of shallow coal resources, more and more mines enter the mining depth of more than 1000 meters. With the increase in coal mining depth, along with the rise of geostress, the increase in water inflow, and the rise of ground temperature, the deep geological environment becomes more complex. Coupled with the strong mining disturbance caused by the deep mining [13], the sudden disasters of underground engineering are becoming more and more serious [4, 5].

Coal gas causes frequent and harmful disaster in mining engineering, and gas exists in the coal body in the form of a free state and adsorption state. The free gas is mainly distributed in the big pores and cracks in the coal body. Adsorbed gas can be divided into two types: one is adsorbed on the surface of the gap and the other is in the form of solid solution between coal molecules or crystals [69]. With the increase in depth, the total specific pore volume of coal tends to decrease. Generally speaking, the proportion of large voids in the total void volume decreases with the increase in depth, while the proportion of microvoids increases significantly, and the total specific surface area increases significantly, which indicates that the deep coal can absorb more gas.

Gas and coal body in the natural coal seam exist in a balanced state. When the coal seam is mined, the original stress state of coal rock changes and the initiation of new cracks leads to the desorption and diffusion of gas from the coal seam to the goaf. At the same time, with the increase in mining depth, because the metamorphic process of deep coal is larger, the total amount of generated gas is more than that of the shallow coal. Therefore, more and more scholars pay attention to the gas adsorption and desorption process [1015]. For example, Wang et al. [1619] adopted the orthogonal test to research the influence degree of particle size, temperature, pressure, moisture content, and molding pressure on the coal gas desorption capacity, and the sensitivity of five factors was used to conduct regression analysis. To research the energy variation rules in the process of gas adsorption and desorption in coal, the adsorption-desorption experimental device was used by Gao et al. [20], and six coal samples of various particle sizes under different pressure conditions were evaluated. Based on the essence of the physical adsorption of methane, the effects of the critical moisture content and liquid water on methane adsorption and desorption were studied, providing instructions for the comprehensive control of gas in high-gas mines [2124]. To accurately calculate the amounts of lost gas from coal, through the mercury intrusion porosimetry method (MIP), CO2 (273 K) adsorption methods, and gas adsorption equilibrium tests, the effects of pore structure and the gas diffusion properties on the lost gas from tectonic and intact coals were investigated by Wang et al. [14]. Jin et al. [25] developed a new apparatus to carry out simulated experiments with different gases of CO2 and N2, the formation and transport mechanism of outburst coal-gas flow in the roadway was researched, and the effects of gas desorption on its development were evaluated. A gas desorption and diffusion experimental system was adopted to conduct isothermal methane gas desorption and diffusion experiments, and Li et al. [26] built a new mathematical model for gas diffusion in coal particles to calculate the diffusion coefficient. Based on the high/low temperature pressure swing adsorption-desorption experimental system, a mathematical expression of the fixed-size desorption index () was established by Li et al. [27], and the effects of gas pressure, loss time, coal particle size, and diffusion coefficient on are studied.

With the increase in the buried depth, the temperature of deep coal increases linearly, and the conventional geothermal gradient is 30°C/km. When the temperature exceeds the normal temperature, the mechanical and deformation characteristics of the coal rock are quite different from those of the ordinary environment. Moreover, the rise of temperature also leads to the faster diffusion of gas in the deep coal body; thus, it is imperative to research the influence of temperature on the gas desorption process [2831]. Considering the influences of gas pressure, temperature, and coal porosity, a coupled thermal-diffused-mechanical model for gas desorption-diffusion under nonisothermal conditions was built by Liu et al. [32], and the gas desorption-diffusion tests were carried out on coal powder under isothermal and adiabatic conditions. Based on the coal oxidation heating system and the high-temperature and high-pressure gas adsorption instrument, Xu et al. [33] carried out the experiments to research the optimum oxidation temperature of coalbed for promoting methane desorption. The coal samples were prepared for desorption experiments with methane and nitrogen, the curves of desorption pressure and temperature were obtained, and a theoretical model of the desorption pressure and temperature in the system considered was established based on the Boltzmann energy distribution law [34].

Because the desorption and diffusion behaviors of adsorbed gas in raw coal under the coupled conditions of temperature and pressure are the questions that we are concerned about, the selected coal samples are not sealed, so that the free gas in the cracks can be diffused into the air. Under these conditions, only adsorbed gas remains in the coal. The diffusion process of adsorbed gas in the process of temperature-rising and constant temperature procedures is studied experimentally, the diffusion coefficient of the coal sample is calculated by combining the diffusion function, and the diffusion process of adsorbed gas in coal at engineering temperature is analyzed by numerical modeling. It provides a theoretical guidance for gas prevention and control in deep coal mining engineering.

2. Gas Desorption Experiment and Analysis

2.1. Experiment Equipment

Given the deep coal with many characteristics compared to the shallow coal body, the influence of temperature and pressure on the physical and mechanical properties of the coal matrix is stranger. Meanwhile, it has a large specific surface area which could adsorb more coal gas. In order to study the adsorbed coal gas’ desorption and migration rule under the coupling of the temperature and pressure process, the deep temperature and pressure coupling test system of the Stay Key Laboratory For Geomechanics and Deep Underground Engineering was used to recreate the desorption and diffusion migration process of original adsorbed coal gas under constant temperature conditions. For the desorbed gas, the test system can also measure the pressure of the escaping gas, the volume of the escaping gas, the composition of the escaping gas, and the percentage concentration of their components.

The experimental system consists of five subsystems, namely, the host system, the servo control system, the temperature control system, the gas composition detection system, and the metering system, as shown in Figure 1. The host system includes the axial system (pump 1) and the lateral system (pump 1). The axial loading system is composed of the main engine and the axial hydraulic system. The axial loading system is called the XTYE-2000 hydraulic pressure testing machine, which can realize the functional purpose of applying axial pressure on the sample. The lateral pressure system applies oil pressure in the pressure chamber to achieve the function of circumferential pressure applied to the coal sample. The axial strain and radial strain are, respectively, monitored by the axial strain gauge (④) and the circumferential strain gauge (⑤) mounted on the surface of the sample. The temperature control system including the temperature controller (heating controller), the temperature sensor (③ and ⑥), and the electric heating device (①) can realize the automatic control of the oil temperature function to control the temperature control system, and the temperature controller adjusts the current in the electric heating device according to the monitoring data of the oil temperature by a sensor (③) and then implements the accurate control of hydraulic oil in the pressure chamber (precision of plus or minus 0.1°C). The other temperature sensor is directly attached to the surface of the sample to monitor the temperature changes of the coal sample itself during the heating process and adjust the temperature according to the experimental requirements. The sample and sensor (⑥) are sealed with rubber (⑦) to prevent oil from entering the sample and affecting the test. The composition of the gas monitoring system and the triaxial pressure chamber are connected via a catheter (gas outlet), and the gas monitoring system mainly includes the all-in-one machine of nitrogen and hydrogen and the gas chromatograph (gas chromatography). The chromatograph uses a series of thermal conductivity detector (TCD) with hydrogen flame detector (FID) methods for testing, and it can detect the main components of desorbed gas of coal samples and make automatic analysis of the respective content of gas composition. The gas measuring system includes a highly sensitive gas-pressure sensor (measurement range of -1000 Pa~1000 Pa) and two gas flowmeters with different ranges (the working range of the flowmeter with a low range is 0~5 ml/min, and that with a high range is 0~50 ml/min). In this way, the parameter information of gas composition, content, pressure, and flow rate can be obtained during the experiment.

2.2. Experiment Procedure

Because the experiment only studies the appearance of desorption diffusion migration of adsorbed gas in raw coal under constant temperature, it only takes the influence of temperature into consideration. The specific experimental steps are as follows: (1)Paste the temperature sensor on the surface of the coal sample with silica gel and fix it with an adhesive tape. Draw out the wiring from the holes reserved in the middle of the rubber sleeve and then weld a temperature sensor with the control line. The coal sample was then packed into the high-temperature resistant fluororubber sleeve, and the pores between the upper and lower pads and the rubber sleeve and the holes in the middle of the rubber sleeve were sealed with silica gel. Put the coal sample into the pressure chamber(2)Connect the oil temperature conductor and coal temperature conductor with the temperature controller. Connect the electric heating wire to the temperature controller(3)Check the chromatograph, connect the chromatograph with the standard gas tank, continuously detect the standard gas, and compare the concentration detection results with the standard concentration; if the difference between the two means that the chromatograph is in good working condition, the test then can continue(4)Connect the chromatograph to the inlet at the upper end of the pressure chamber. Connect the flowmeter and the chromatograph. Turn on the temperature controller and chromatographic workstation and adjust their time to the same(5)Set the temperature target value and raise the temperature. Maintain the temperature when the target temperature is reached. Check the composition of the gas every half an hour(6)Stop the test

2.3. Experiment Sample

The selected coal mass blocks were taken from the Baijiao Coal Mine in Sichuan Province. Five coal masses were firstly packed and then posted to the lab immediately after they had been taken. The five coal samples are from the four coal masses at the same working face of no. 2422. According to the recommended method of the International Society of Rock Mechanics [35], the processed coal sample size is and was made by using a drill machine and double-disc grinding machine in the lab, and the samples’ roughness was controlled less than ±0.05 mm, the error of diameters was controlled less than 0.3 mm, and the deviation of the perpendicularity between the section and the axis of the specimen is controlled less than 0.25°.

The Baijiao Coal Mine in the Furong mining area of Sichuan belongs to the Paleozoic Permian Basaltic formation, and the coal is anthracite. The mining area is located in the contact zone of the Sichuan Basin and Yunnan-Guizhou Plateau, and the terrain is high in the south and low in the north. The well field is located at the west end of the secondary fold of the long-double anticline—the south wing of the Shuanghe anticline. Except for some small wavy undulations, it is basically a monoclinal structure with a gentle dip, with a general inclination of 200~230° and a dip angle of 7~26°, which increases gradually from west to east. The coal measure strata in this mine field have poor gas permeability, and the structure is a gently inclined monoclinal structure. The gas content of the coal seam is relatively high, and the spontaneous combustion of the coal seam will also occur in this coal seam, which is a high-gas mine. The coal sample is taken from the machine lane of the 2442 working face of the mine. The coal body strength of the working face is low, and there will be a sharp increase and sudden release of energy, so that the coal body outburst and gas outburst occur frequently. A total of 5 samples were made, as shown in Figure 2. In order to ensure the accuracy of the experimental results, measures are taken from three aspects. First, the sample preparation process is strictly controlled to ensure the flatness of the coal sample, so that the tight contact between the coal sample and the seal is achieved. Secondly, the coal samples were placed for at least one month so that free gas could be diffused into the air in advance, while only adsorbed gas was retained in the coal samples. Thirdly, the samples are sealed as well as the wires and the gas pipelines so that the monitored gas is the migration and diffusion of adsorbed gas in the coal body.

Table 1 gives the basic physical parameters of the test samples and some basic information of the experiment process.


Sample numberDiameter (mm)Height (mm) (MPa)Temperature (°C) (GPa)

FR1-1#50.4299.7019.46353.33
FR 1-4#50.20100.8020.15303.10
FR 1-5#50.3499.7020.1524.53.10
FR2-1#50.2899.729.5336.21.64
FR2-2#49.44100.0210.76421.34

2.4. Experiment Results

Figures 35 show the correlation curves of desorption and diffusion of coal samples 1-1#, 1-4#, and 1-5# under constant temperature conditions, respectively. It can be seen from Figure 3(a) that the pressure of the escaped gas fluctuates around 0 without a large peak. The volume of the escaped gas rises the fastest at the moment of 0 min and then slowly increases until it reaches the level with a maximum value of 1.055 ml after 70 min. It can be seen that the concentrations of the three components first increased and then decreased; the minimum value occurred at 6.5 min, the magnitude of which was 5.60%, 0.437%, and 0.00479%; the maximum values occurred at 49.51 min, of which the values were 6.30%, 0.799%, and 0.006%; and the concentrations at the end of the experiment were 6.11%, 0.785%, and 0.00578%, respectively.

Figure 4(a) corresponds to a relatively short time period of the constant temperature process, and the volume of escaping gas is relatively larger than that of the other samples, which reaches a maximum of 2.87 ml but does not reach the desorption equilibrium state. In addition, it can be seen that the pressure of escaping gas appears to have three small peaks, which were 16 Pa at 9.6 min, 16 Pa at 46.7 min, and 58 Pa corresponding to 94.6 min. The flow curve at the corresponding position also shows a jump growth, indicating that the positive pressure of escaping gas corresponds to a sharp increase in the volume of escaping gas. It can be seen from Figure 4(b) that there is no ethane in the composition, and the concentration curves of methane and carbon dioxide show a linear trend of growth. The minimum value occurs at 0.88 min, and the values are 0.279% and 0.1476%, respectively. The maximum value occurs at the end time, and the values are 0.352% and 0.2357%, respectively.

Figure 5(a) shows that the maximum value of the escape gas pressure exceeds 100 Pa, and within 20 min, five positive pressures over 20 Pa occur, resulting in a sharp increase in the volume curve of the escape gas at these positions. In addition, the pressure of the escape gas reaches 50 Pa at 35.5 min and 76.3 min, and the maximum amount of escape gas is 1.3 ml. It can be seen from the concentration curve that the three gases methane, carbon dioxide, and ethane are all present, and the concentration curve shows an increasing trend. The minimum value is 2.1%, 0.15%, and 0.015%, respectively, and the maximum value is 2.50%, 0.253%, and 0.014%, respectively.

Figures 6 and 7 correspond to the constant temperature test curves of coal samples 2-1# and 2-2# in the Furong mining area, respectively. It can be seen from Figure 6(a) that between 36.4 min and 44.7 min, the gas pressure appeared to be more than 50 Pa, and the amount of the gas evolution curve also increases at the corresponding position; the measure of the escaped gas is 2.12 ml. It can be seen in Figure 6(b) that methane concentration increases first and then decreases, and the maximum value is 3.39%, which occurred at 21.0 min; the minimum value occurred in the initial stage, the figure was 2.93%, and ethane and carbon dioxide levels are much smaller; the largest carbon dioxide levels occurred at the end of the experiment, the figure was 0.345%, and ethane’s maximum value is 0.010% and happened in 21.0 min. Figure 7(a) shows that the volume curve of the escaped gas rose steadily and finally reached 2.57 ml. The concentration curve also showed a trend of increasing first and then decreasing. The maximum value occurred in 70 min, and the corresponding concentrations of the three components were 0.864%, 0.348%, and 0.0014%, respectively. The minimum values were 0.725%, 0.241%, and 0.0012%, respectively, which occurred at the beginning of the experiment.

In a word, although these 5 samples are all from the same mining area and same location, they show different properties in different isothermal experiments. The escaped gas quantity does not increase in accordance with the increase in temperature, but the sample at 30°C has the largest volume of escaped gas, followed by the sample at 42°C, and the minimum escaped gas volume corresponds to the sample at 35°C. Therefore, the individual difference of coal samples is an important factor affecting the sample results, but a conclusion is drawn; in the isothermal process, the desorption component concentration meets the rule of increasing first and then decreasing.

3. Model Establishment and Verification

3.1. Coal Rock Model Establishment

Figure 8(a) shows a common surface of coal fractures, while Figure 8(b) gives the coal damage fracture distribution information of a CT scan slice. It can be seen from the chart that the fissure distribution was compared with the polygon form, so an appropriate polygon transformation can be used to build a coal fracture pore model.

The Voronoi diagram, also known as the Dirichlet mosaic, was first proposed by Dirichlet in 1850 and then simplified by Russian mathematician Voronoi. In 1911, it was used by Dutch climatologist A.H. Hiessen to divide the effective regions of meteorological observation stations [34]. Simply, the Voronoi diagram is a partition of the plane, whose control point set , any two points are not colocated, and any four points are not cocircular. In any convex polygon (Tyson polygon), the distance from any inner point to the control point of the convex polygon is less than the distance from the point to any other control point . Figure 8(c) shows the Tyson polygon example generated by the 50 control points. If the Tyson polygon itself is solid, the fissure channel is formed by the separation of polygons from polygons. Since the distance between the boundaries of the Tyson polygon established by the above method is 0, cracks cannot be formed in the process of modeling. Therefore, cracks must be generated between the particles by means of polygon contraction inward. In this chapter, a polygonal inward shrinkage method is used to analyze the variation of porosity with different similar shrinkage rates.

The principle of polygon contraction is as follows: where is the coordinates of the migrated polygon, is the initial coordinates, and is the offset value. And the above three parameters are all matrices, as shown in Figures 9(a) and 9(b), which are the variation curves of porosity calculated at different shrinkage rates.

3.2. Selection of Gas Diffusion Coefficient in Coal Rock

Coal is a very complex porous medium, which has a dual pore structure. The migration of methane in the pore of the coal seam includes three processes: desorption, diffusion, and seepage. When the coal seam enters the deep underground, the ground temperature rises gradually, and the gas diffusion rate in the high-temperature coal body is very fast. At present, the experiment studies the gas adsorption and diffusion behavior of coal under the condition of an external gas source. However, the numerical value of the adsorption gas diffusion coefficient of the raw coal is still difficult to estimate, so it can be used to estimate the adsorption gas diffusion coefficient of the original coal from the data of the isothermal test.

Since diffusion is the main form of mass transfer in coal-based particles and fractures, it is assumed that the pores of particles are uniform and the transfer resistance is stable. Assuming that the diffusion coefficient is independent of the practice, then it can be seen that the diffusion process obeys the second law of Fick, and the diffusion differential equation in spherical coordinates is as follows:

It is easy to know that is the diffusion coefficient (cm2/s), is the concentration of diffusion fluid (g/cm3), and is the polar radius (cm). When initial conditions and boundary conditions are given, the analytic solution of the above differential equation is as follows:

is defined here, in which is the accumulated diffusion amount (cm3) at time , is the maximum value in the diffusion process, and is the diffusion rate of methane in coal matrix particles. Reference [20] obtained the following relationship through numerical simulation of equation (3).

Because the diffusion percentage is equal to the desorption percentage of the methane diffusion process in the coal matrix, then where is the cumulative desorption (cm3) at time and is the maximum desorption in the diffusion process. So equation (5) goes into equation (4). Taking the natural logarithm of the expression, then

Therefore, can be obtained by fitting the experimental data. Since , the comprehensive diffusion coefficient can be obtained. Take TM1-1#, TM1-4#, TM1-5#, TM2-1#, and TM2-2# of the Furong Baijiao Coal Mine as examples to calculate their diffusion coefficient. Assume that the average diameter of coal particles is 0.2 mm. And according to , Table 2 shows the calculation results of relevant diffusion parameters of coal samples selected in the Furong coal mine.


Sample numberTemperature, (°C)CH4 diffusion coefficient, (cm2s-1)CO2 diffusion coefficient, (cm2s-1)C2H6 diffusion coefficient, (cm2s-1)

TM1-5#24.5
TM1-4#30
TM1-1#35
TM2-1#36.2
TM2-2#42

3.3. Model Verification

Because most diffusion processes are unsteady, the unsteady diffusion process requires Fick’s second law to calculate. The change in concentration over time is equal to the value of the change in diffusion flux over distance : where is the diffusion coefficient (m2/s) and is the volume concentration of the diffused substance (kg/m3). is the concentration gradient, and is the diffusion time. If diffusion coefficient is independent of concentration, equation (6) can be written as

Then, by substituting the initial conditions and convenience conditions, the partial differential equation of equation (8) above can be solved, and the concentration distribution, concentration gradient distribution, and diffusion flux at each moment can be obtained.

Equation (9) gives the form of a differential equation of the transient heat conduction equation, due to the mathematical similarity in the form between the transient heat conduction equation and Fick’s second law of diffusion coefficient differential equations, so the method of solving the heat conduction equation can be used to solve the unsteady diffusion equation.

This model is based on the physical and mechanical conditions of gas-bearing coal in the - coupling test system of the deep coal sample. In order to restore the real experimental conditions, due to the sampling process and shipping process, the adsorbed gas of the shallow surface has spread into the air, and the test cannot destroy the pore fissure structure for the simple isothermal condition, so this article assumes that under the effect of temperature, the gas is mainly spread through the pore channels and can only be spread in the connected channels. The diameter and height of the real coal samples are 50 mm and 100 mm, respectively. In the simulation, we selected a two-dimensional section of as the research object, and the equivalent porosity of the coal rock sample is 26.24%. Since the coal sample is taken from the same site, it is considered that the porosity of all samples is the same. During the experiment, the gas can diffuse in any direction, because in the experiment of this paper, the coal rock is placed inside the thermal shrinkable sleeve of fluororubber, and the top and bottom are in contact with the cushion blocks. The cushion block and the rubber sleeve are bonded together with silica gel, so as to ensure that all the gases only can escape from the gas channel in the center of the cushion above the coal sample. In view of the above conditions, the boundary conditions of the established model have been shown in Table 3, and the geometric model and boundary conditions can be shown in Figure 10.


Initial value
Blue box area in the center of the model
Boundary conditionBoundary around coal sample (excluding air outlet)

In the numerical simulation of the three temperatures in this paper, the geometric model used is the same. The following factors are mainly taken into account. Firstly, because the coal samples tested in this paper are collected from the same place, they have the same properties; secondly, in terms of porosity, the values of the three related coal samples are approximately equal. Thirdly, in order to reduce the variables, the different effects of temperature on the diffusion process of adsorbed gas are studied more effectively. According to the above three reasons, this paper adopts the same geometric model for numerical simulation.

4. The Influence of Temperature on the Gas Diffusion Process

It is difficult to obtain the diffusion coefficient of gas in the pores of coal due to the complexity of the internal pore structure. Through experiments, Li et al. [36] and Wang et al. [37] pointed out that in the case of the same initial adsorption amount, during the process of heating diffusion at different temperatures, the diffusion amount at high temperature is always greater than that at low temperature, but the diffusion process at low temperature can reach the diffusion equilibrium more quickly. A rise in temperature will give methane molecules higher energy, enabling more molecules to be desorbed, and a rise in temperature will increase the diffusion coefficient, so that with a rise in temperature, methane molecules will spread faster and thus be able to spread out more gas molecules.

The above test mainly focuses on the diffusion behavior of free gas. However, the diffusion coefficient of adsorbed original gas in the raw coal matrix is completely different from the above results. It is known from Section 2.4 that the adsorption gas (methane, carbon dioxide, and methane) in raw coal fluctuates under constant temperature, as shown in Figures 37.

Within the Earth’s interior, the temperature of the crust generally increases gradually with depth, with a temperature increase of 30°C for every 1 km increase in average depth. Calculated according to the surface temperature of 20°C, the temperature range corresponding to 0~1 km is 20°C~50°C, and most mines in China are still below 1 km. Therefore, the selection of numerical simulation temperature in this paper is also under the relatively common engineering temperature.

LS-DYNA is a fully functional geometric, material, and contact nonlinear program. It uses the Lagrange algorithm, ALE algorithm, and Euler algorithm; the program is based on an explicit algorithm and implicit solution. The program can perform nonlinear dynamic analysis. The diffusion process simulated in this paper is a nonlinear dynamic diffusion process. Although LS-DYNA does not have a diffusion module, it has a heat conduction module. Because of the similarity between the two equations, it can be used in the calculation of this simulation. The disadvantage of this program is that the modeling function is poor, so it needs to contact other software to carry out geometric modeling; this paper uses MATLAB to carry out geometric modeling. The model established in this paper is based on the Tyson polygon. Although the model is consistent in porosity, it is still different from the real pore structure.

In order to reproduce the process of methane diffusion in adsorbed gas in coal through numerical simulation, LS-DYNA is used to simulate the methane diffusion process in raw coal at three temperatures (24.5°C, 30°C, and 42°C), and finally, a comparison is also made.

4.1. Numerical Simulation of the Diffusion Process at 24.5°C

Figure 11 shows the concentration distribution cloud map corresponding to the eight time points of the methane diffusion process in coal under the condition of 24.5°C, and the corresponding time points are 0 s, 30 s, 50 s, 90 s, 180 s, 250 s, 400 s, and 800 s, respectively. The simulation is corresponding to sample FR1-5#, the constant temperature is 24.5°C, and the corresponding diffusion coefficient is . It can be seen from the diagram that the methane is concentrated in the center of the sample at the beginning of the calculation, and as the calculation continued, methane began to spread around evenly, the methane concentration around cracks slowly increased from zero and then decreased, and the methane concentrations in the center area are getting smaller. It reduced to at 50 s, decreased to at 250 s, and decreased to at 800 s. In the noncentral region, the concentration of gas increases first and then decreases, mainly because the concentration in the central region decreases continuously and the concentration gradient is reduced. In general, methane diffuses uniformly from the center to the outside of the porous medium. The gas in the central high concentration area gradually diffuses in the cracks around, and the concentration in the central area gradually decreases, while the concentration in other areas increases first and then decreases.

4.2. Numerical Simulation of the Diffusion Process at 30°C

Figure 12 shows the concentration distribution cloud map corresponding to the eight time points of the gas diffusion process in coal at 30°C, and the corresponding time points are 0 s, 30 s, 50 s, 90 s, 180 s, 250 s, 400 s, and 800 s. The simulation corresponds to sample FR1-4#, the diffusion coefficient is , and the isothermal diffusion temperature is 30°C. Also, it can be seen that at the beginning of the calculation, the methane is concentrated in the center of the sample; as the calculation continued, methane gradually spread along with fracture channels, methane concentration in the fracture around slowly increased from zero and then decreased, and the center area of the methane concentrations is getting smaller. It reduced to at 50 s, decreased to at 250 s, and decreased to at 800 s. It can be seen that the rate of reduction of the center area concentration under 30°C is lower than 24.5°C. It also can be seen that at 50 s, methane gas has spread to the left and right side walls, but the side wall was sealed with fluorine rubber packages, which cannot permit gas to pass; thus, it can be seen that at 90 s, the spread of the methane began to shift from spreading evenly around to up and down spreading along the length direction. And for down boundary which is an enclosed area, the gas then eventually diffuses through the upper outlet. Similarly, in the noncentral region, the concentration of gas first increases and then decreases. Generally speaking, the diffusion process of methane in porous media uniformly spreads from the center to the outside, then spreads up and down, and finally spreads to the upper outlet. The gas in the central high concentration area gradually diffused in the cracks around, and the concentration in the central area gradually decreased, while the concentrations of other areas first increased and decreased.

4.3. Numerical Simulation of the Diffusion Process at 42°C

Figure 13 shows the concentration distribution cloud map corresponding to 8 time points of the gas diffusion process in coal at 42°C (the same as Figures 11 and 12). This simulation corresponds to sample FR2-2#, the corresponding diffusion coefficient is , and the experimental temperature is 42°C. It can also be seen that the law of methane diffusion is basically consistent with that of 24°C and 30°C, except that the diffusion velocity is much slower, because the corresponding diffusion coefficient is smaller. The concentration of the central region decreases to at 50 s, at 250 s, and at 800 s. It can be seen that the concentration of the central region decreases more slowly at 42°C than at 24.5°C. In the noncentral area, the gas concentration still increased first and then decreased.

4.4. Result Analysis and Discussion

In theory, the diffusion coefficient of methane should rise with temperature below 60°C. But in this article, the experiment results do not support that, because the experiments in this paper focused on desorption and diffusion of internal native adsorbed gas in the coal sample under isothermal conditions. The desorption amount differs from coal sample to sample; although all the coal samples are from the same position of the same coal mine, the existence of the original joint is still different; the other factors such as the process of drilling, cutting, and grinding will also change the internal state of real joints and pores and the adsorption state of gas. In addition, the influence of the experimental process should not be ignored, such as the difference in sealing and duration of the isothermal process; these are all important factors.

Figure 14 shows the numerical simulation results. The variation curve of methane gas concentration at the outlet over time shows that the higher the temperature is, the longer the peak time of the concentration will be and the higher the concentration at the outlet will be. Figure 15 shows the change curve of methane flow at the outlet over time. The methane gas produced by the isothermal process corresponding to 24.5°C and 30°C is approximately the same. At 42°C, due to the small diffusion coefficient, the amount of methane released at the end of the calculation is also smaller.

In this simulation, the diffusion and migration process of methane gas in the fracture channel is more visualized, but the desorption and adsorption process of the coal sample matrix itself is not considered, which is the research direction in the future.

5. Conclusions

In this paper, the desorption and migration of adsorbed gas in raw coal of the Furong mining area in Sichuan Province were studied experimentally by means of the - coupling experiment system. The desorption and migration processes of adsorbed gas from raw coal under different isothermal conditions were analyzed, and the changes of relevant parameters (gas flow rate, gas pressure, and gas component concentration) were recorded and analyzed. The desorption and diffusion behavior of adsorbed gas in the isothermal process is obtained. In addition, based on the pore structure of coal samples, the equivalent geometric model of coal porous media was established. LS-DYNA was used to simulate the diffusion behavior of adsorbed gas in coal porous media, and the following main conclusions were obtained: (1)Experiments were carried out on the isothermal desorption and diffusion process of Furong coal samples, and the variation rules of the escaping gas pressure, the escaping gas volume, and the component concentration were studied. It was found that the escaping gas volume would suddenly increase with higher positive gas pressure. The concentration of components increases first and then decreases. The slope of the volume of the escaped gas decreases with time and finally tends to a constant value(2)Based on the CT scan image of the Furong coal sample, it was found that the joint distribution of the coal sample was similar to the distribution form of the Tyson polygon, a method to achieve the target porosity construction by using the contraction of the Tyson polygon was established, and a two-dimensional joint pore model of the experimental coal sample was established(3)Based on the consistency of mathematical expression between the transient heat conduction equation and Fick’s second law and according to the porosity calculated by the mercury injection test, LS-DYNA was used to simulate the thermostatic laboratory experiment process of the three different experimental temperatures (24.5°C, 30°C, and 42°C). The results show that the higher the diffusion coefficient is, the faster the time to reach the diffusion equilibrium is and the shorter the time for the gas concentration to reach its maximum value is. The diffusion process of gas is a process of slowly moving from a high-concentration area to a low-concentration area, and it is also a process of coal sample self-balance. By comparing with the experimental process, the numerical process is in good agreement

Data Availability

The data are available and explained in this article, and readers can access the data supporting the conclusions of this study.

Conflicts of Interest

No conflict of interest exists in the submission of this manuscript.

Authors’ Contributions

The manuscript is approved by all authors for publication.

Acknowledgments

This work was supported by the Technology Top Talent Support Project of the Department of Education of Guizhou Province ([2020]155, [2019]162, and [2017]307), the Research and Development Project of Guizhou University of Engineering Science (Grant No. G2018016), the Bijie City Science and Technology Plan Joint Fund Project ([2019]26), and the National Natural Science Foundation of China (Grant No. 41941018).

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