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Article

Study on the Influence Mechanism of Air Leakage on Gas Extraction Effect—A Numerical Case Study of the Coal Mine Site in Anhui

1
China Coal Energy Research Institute Co., Ltd., Xi’an 710054, China
2
School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
3
China Coal Xinji Liuzhuang Mining Co., Ltd., Fuyang 236200, China
*
Author to whom correspondence should be addressed.
Processes 2023, 11(7), 2161; https://doi.org/10.3390/pr11072161
Submission received: 15 June 2023 / Revised: 17 July 2023 / Accepted: 18 July 2023 / Published: 19 July 2023
(This article belongs to the Special Issue Intelligent Safety Monitoring and Prevention Process in Coal Mines)

Abstract

:
Air leakage in mine gas drainage drilling is a critical factor that affects gas extraction efficiency. It leads to a rapid decline in gas concentration, resulting in lower extraction efficiency and potential secondary disasters. To address this issue, a fully coupled gas–air mixed flow model is established in this study. The model examines the effects of extraction time, different negative pressures, and gas leakage on gas concentration. Additionally, it reveals the mechanism of air leakage around gas drainage boreholes. The simulation data are then compared with field gas drainage monitoring data to verify the reliability of the model. This verification serves as a basis for extraction regulation and control. The results demonstrate that during the later stages of extraction, the negative pressure decreases, causing a decline in gas concentration. Moreover, higher negative pressure leads to increased air inflow into the borehole, thereby reducing gas concentration. Consequently, selecting an appropriate negative pressure is crucial to improve pumping efficiency. The research findings hold significant guidance in achieving efficient gas mining.

1. Introduction

In recent years, new energy sources have experienced rapid development. However, coal is expected to remain the primary energy source in China for the foreseeable future. In order to ensure resource utilization and minimize secondary disasters, the co-mining of coal and gas has gained significance [1,2,3,4]. First and foremost, it is crucial to prioritize the safety of coal mining operations. The mining process is prone to various dynamic disasters, with gas-related incidents being particularly common. The quantity and efficiency of gas extraction from coal seams directly impact the safety of coal mines. One major challenge in mine gas drainage is the rapid attenuation of gas concentration. This hampers effective gas utilization, leading to environmental pollution and the risk of gas explosions and other hazards [5,6,7,8]. Therefore, implementing effective gas pre-drainage measures holds immense importance in ensuring coal mine safety and optimizing gas resource utilization.
The coal seam gas drainage boreholes are typically categorized into main pipes and branch pipes. Multiple boreholes are interconnected and eventually merged into the main extraction pipeline [9,10]. Currently, it is a common practice to arrange these pipes from the surface to the underground coal seam for gas pre-drainage [11,12,13]. However, the majority of coal seams in our country have low permeability, resulting in poor gas drainage effectiveness. Additionally, there is a significant issue of gas leakage due to limitations in sealing technology. Although sealing technology has witnessed advancements in recent years, these challenges have not been fundamentally resolved. As extraction progresses into the middle and later stages, there is a noticeable decline in gas concentration, which attenuates rapidly [14]. This is attributed to the development of coal and rock mass cracks caused by mining disturbances. Furthermore, the overall gas concentration is further reduced due to the decrease in the total gas volume. If the gas concentration in the drainage pipeline falls within the explosion limit, it poses a threat to the safe production of the coal mine. Simultaneously, the discharge of gas with lower concentrations into the atmosphere can have adverse environmental impacts.
Coal is considered a dual-porosity medium [15], where gas exists both in the fractures of coal in a free state and in the matrix pores in an adsorbed state, with a significant proportion being adsorbed gas. During the process of gas extraction from coal seams, the gas typically undergoes three processes: desorption, diffusion, and seepage [16]. To understand the cross-coupling mechanism of various physical fields during coalbed methane drainage, extensive research has been conducted by scholars. Liu et al. [17] conducted a comprehensive analysis of the research progress on multiphysics coupling processes in coalbed methane mining. They concluded that the complex interaction between stress, chemical fields, mining processes, and geological fluid injection significantly impacts the geomechanical characteristics of coal. Liang et al. [18] constructed a multi-field coupling model incorporating stress–diffusion–seepage to investigate the gas flow behavior around drilled holes during coal seam extraction, focusing on the optimal spacing of boreholes for gas drainage. Wu et al. [19] developed a multi-field coupling model considering coal deformation, gas adsorption, diffusion, seepage, and humidity effects to study the evolution of flow fields and competitive gas adsorption behavior during CO2 geological storage and enhanced coalbed methane mining. Zhai et al. [20] integrated coal gas permeability with mechanical properties and gas adsorption/desorption, establishing a mathematical model to analyze transient stresses and dynamic leakage flow fields around extraction boreholes. Cheng et al. [21] established a gas–solid coupling model considering fracture gas seepage, permeability evolution, and coal deformation to analyze the influence of diffusion and seepage on gas transport and investigate the mechanism of negative pressure in the gas extraction process. Hao et al. [22] developed a fluid–structure interaction model that accounted for coal creep effects to determine the effective radius of boreholes at different burial depths. Wang et al. [23] established a dynamic permeability change model of coal seams considering effective stress, gas desorption, and coal matrix shrinkage effects, simulating the penetration changes based on different coal seam gas pressures. Wang et al. [24] derived a formula representing the gas flow resistance of coal seams using the matchstick model combined with Darcy’s law and the Hagen–Poiseuille equation, illustrating the influence of fracture curvature, gas pressure, and effective stress on gas flow resistance. Zang et al. [25] derived an orthotropic permeability evolution equation considering effective stress and expansion stress based on coal body mechanical properties and initial porosity anisotropy. Liu et al. [26] simulated gas pressure distribution under different adsorption times and investigated the influence of the Klinkenberg effect on gas extraction. Liu et al. [27] applied a diffusion–seepage gas migration model to simulate the change in matrix pore and fracture gas pressure over time under dynamic changes in the diffusion coefficient. Zhang et al. [28] studied the influence mechanism of negative pressure on drainage effectiveness, simulated the change in gas concentration under different negative pressures and sealing parameters, and provided guidance for improving gas drainage drilling hole sealing technology. Liu et al. [29] conducted a systematic analysis of the multi-field coupling process and various factors affecting gas drainage in deep mines, offering guidance for enhancing gas drainage efficiency. Although extensive studies have been conducted on the multi-field coupling of coal-gas systems, research on underground gas extraction processes in coal mines has primarily focused on single-component gas flow, with limited exploration of multi-field coupling in air-gas binary gas systems involving borehole air leakage processes. The lack of systematic research and a comprehensive theoretical basis presents certain challenges.
In order to tackle these challenges, this paper introduces a multi-field coupling model that focuses on the “air–gas” binary gas flow during borehole gas extraction. The model takes into account various factors, including coal matrix deformation, pore gas diffusion, fracture gas seepage, and the coupling effect of air leakage. By considering these interconnected aspects, the model provides a comprehensive understanding of the gas extraction process. The research findings from this multi-field coupling model hold great significance in terms of improving the efficiency of gas utilization and preventing and mitigating disasters. This approach allows for a better optimization of gas extraction processes and enhances the overall safety of mining operations.

2. Theoretical Model Construction

During the gas pre-drainage process from boreholes in this coal seam, it is commonly observed that there is initially a high gas concentration and flow rate. However, as the extraction time progresses, there is a varying degree of decrease in gas concentration and flow. This decline can be attributed to changes in the number, spacing, and aperture of cracks influenced by mining-induced stress and gas pressure, indicating the dynamic development of the fracture state. Figure 1 illustrates the pathways created by the development and penetration of the fracture network, allowing ventilation air from the roadway to enter the extraction hole. The pore structure of the coal is depicted in Figure 2. Identifying the precise locations of high permeability areas for air leakage around the borehole is crucial for effective sealing and plugging of fracture channels. To accomplish this, a double-hole-mixed gas seepage coupling model was established to study the permeability evolution in different coal areas surrounding gas drainage boreholes and identify the areas with high permeability for air leakage.
This model makes the following assumptions:
(1)
The pressure generated by air in the fractures is considerably lower than the gas pressure within the pores of the coal matrix. Hence, the adsorption and migration of air within the coal matrix are not considered. Air is assumed to flow solely within the coal fissures.
(2)
Gas behavior follows the principles of Fick’s diffusion and Darcy’s seepage during its flow.
(3)
The migration of gas and air within the coal is assumed to be isothermal, neglecting any heat exchange.
(4)
The seepage of gas and air within the fracture space is treated as independent processes. The deformation and permeability evolution of coal are mainly influenced by the superposition of gas pressure and air pressure.

2.1. Mechanical Constitutive Relation of Coal

Under the action of free gas and adsorbed gas, the deformation and mechanical properties of gas-bearing coal change, which makes the stress field change accordingly.
Coal is a double-pore structure; the relationship between surface stress and bulk stress can be expressed as outlined in reference [30]:
σ i j , j + F i = 0 ,
where σ i j , j is the stress tensor along j direction, MPa; and F i is the volume force in the direction of i, MPa.
The coal cracks considering air leakage contain gas–air two-component gas. Therefore, the gas pressure in coal fissures and the gas pressure in coal matrix pores can be expressed as follows:
p f = p f a + p f g ,
where p f is the total gas pressure in coal fissures, MPa; p f a is the air pressure in coal fissures, MPa; and p f g is the gas pressure in coal fissures, MPa.
p m = p m g ,
where p m is the total pressure of gas in coal matrix, Mpa; and p m g is the gas pressure in coal matrix, MPa.
According to the effective stress principle put forward by Terzaghi, combined with the continuous modification of the effectiveness of rock mass media, the effective stress of coal is expressed by Formula (4):
σ i j = σ i j e α f p f a + p f g + α m p m g δ i j α f = 1 K K m α m = K K m K K s K m = E m 3 ( 1 2 v ) K s = E m 3 ( 1 2 v ) 9 ϕ m ( 1 v ) / 2 ,
where σ i j is the normal stress acting on coal, MPa; σ i j e is the effective stress on coal, MPa; α f is the effective stress coefficient of coal body crack; α m is the effective stress coefficient of coal matrix; δ i j is the Kronecker function; K is the coal bulk modulus, MPa; K m is the coal matrix bulk modulus, MPa; K s is the coal solid skeleton bulk modulus, MPa; E is the young ‘s modulus of coal, MPa; E m is the young’s modulus of coal matrix, MPa; ϕ m is the porosity of coal matrix; and v is the Poisson’s ratio of coal.
The constitutive relation of stress and strain of gas-bearing coal is expressed as follows [31]:
σ i j e = 2 G ε i j + 2 G 1 v ε v δ i j K ε b s δ i j ,
where G is the shear modulus of coal, MPa, G = E 2 1 + v ; ε i j is the strain tensor of coal mass; ε v is the volumetric strain of coal; and ε b s is the volumetric strain caused by coal adsorption.
Among them is the following:
ε b s = ε b max s p m p m + p L ,
where ε b max s is the maximum strain produced by adsorbing gas; and p L is the type Langmuir adsorption strain pressure.
Displacement and strain can be expressed by Equation (7):
ε i j = 1 2 ( u i , j + u j , i ) ,
where ε i j is the strain component; and u i , j , u j , i are the displacement component.
The following Equation (8) is obtained:
G u i , i j + G 1 2 v u j , j i α f p f g , i + p f a , i α m p m , i K ε s b , i δ i j + F i = 0 .
The failure behavior of coal can be expressed by formula [32]:
F = sin φ 3 3 + sin 2 φ I 1 + 3 C cos φ 3 3 + sin 2 φ J 2 ,
where I 1 is the first invariant of the stress tensor, I 1 = σ 1 + σ 2 + σ 3 ; I 2 is the second invariant of the stress tensor, I 2 = σ 1 σ 2 + σ 2 σ 3 + σ 3 σ 1 ; J 2 is the second invariant of stress deviation, J 2 = 1 3 I 1 2 I 2 ; φ is the internal friction angle; and C is the cohesive force.

2.2. Gas Migration Model

Considering air leakage, a diffusion-seepage model is established.

2.2.1. Subsubsection

In a coal body structure with a double pore system, the gas components in the coal matrix primarily consist of adsorbed gas within the matrix and free gas within the matrix pores. Therefore, the total gas quantity per unit volume of the coal matrix can be expressed as stated in reference [33]:
m m = V L p m p m + P L ρ c M C V m + ϕ m p m M g R T ,
where m m is the total amount of gas per unit volume of coal matrix, kg/m3; p m is the total pressure of gas in coal matrix, Mpa; V m is the coal matrix volume, cm3; Mc is the molar mass of methane under the standard condition, g/mol; V L is the Langmuir volume, m3/kg; P L is the Langmuir pressure, MPa; ϕ m is the Coal matrix porosity; ρ c is the coal density, kg/m3; R is the gas constant; T is the gas temperature, K; M g is the molar mass of gas, the equivalent of gas in this paper is methane, its value is 16 g/mol.
In the absence of mining disturbances, the gas pressure within the original coal seam remains constant. However, the gas balance state within the coal matrix and fracture system undergoes changes due to gas drainage. During the operation of the extraction system, the gas flow velocity differs between the coal matrix and fracture system. The gas pressure within the fractures is relatively lower compared to the matrix. As a result, gas in the fractures is replenished by the gas present in the coal matrix. This replenishment is driven by the difference in gas concentration. Therefore, the diffusion equation can be expressed as follows [34]:
Q m = D χ s V m c m c f g ,
where Q m is the diffusion source, kg/(m3·s); D is the diffusivity, m2/s; χ s is the matrix shape factor, m−2, χ s = 3 π 2 L 2 ; V m is the coal matrix volume, cm3; c m is the gas concentration in coal matrix, kg/m3, c m = M g Z m R T p m ; c f g is the gas concentration in coal fissures, kg/m3, c f g = M g Z f g R T p f g ; and L is the pore spacing, m.
Due to the shape factor being related to the adsorption time, the adsorption time τ is introduced as a parameter to characterize the diffusion behavior. It is numerically equal to the time it takes for the gas content in the coal matrix to be desorbed to 62.3% of the total. The matrix shape factor can be specifically expressed as follows [35]:
τ = 1 D χ s .
It can be expressed by mass conservation equation in the process of gas diffusion:
Q m = m m t .
By bringing Formulae (10) and (11) into Formula (13), you can obtain the following:
p m t = V m τ ρ c R T p m p f g V L p L ( p m + P L ) 2 + ϕ m ρ c p 0 .

2.2.2. Seepage Control Equation of Gas–Air Two-Component Gas in Fissures

The amount of gas in coal fissures per unit mass can be expressed as follows:
m f g = ϕ f p f g M g R T
m f a = ϕ f p f a M a R T ,
where m f g is the gas content in coal fissures per unit mass, m3/kg; m f a is the air content in coal fissures per unit mass, m3/kg; and M a is the molar mass of air, g/mol.
In the fracture system, the gas–air two-component gas flows under the action of the driving force caused by the gas concentration difference. There are as follows:
V f = - k f μ p f g + p f a
μ = μ g 1 + x a x g M a M g + μ a 1 + x g x a M g M a ,
where V f g is the gas seepage rate in coal fissures, m/s; V f a is the air seepage rate in coal fissures, m3/kg; μ is the average dynamic viscosity of gas mixture in coal fissures, Pa·s; μ g is the dynamic viscosity of gas, Pa·s; μ a is the dynamic viscosity of air, Pa·s; x g is the mole fraction of gas; and x a is the mole fraction of gas.
Combined with the ideal state gas equation, the mole fraction of each component can be expressed as follows:
x g = n g n g + n a = p f g p f g + p f a x a = n a n a + n g = p f a p f g + p f a .
There are
μ = μ g 1 + p f a p f g M a M g + μ a 1 + p f g p f a M g M a .
The gas flow equation of each component can be expressed as follows:
m f g t = ρ f g V f + 1 - ϕ f Q m m f a t = ρ f a V f .
The Formulae (15)–(17) are brought into the Formula (18), respectively, and the gas flow equation of each component in the crack is obtained.
ϕ f p f g t + p f g ϕ f t + k f μ p f g p f g + p f a = V m τ ρ c R T 1 - ϕ f p m p f g V L p L ( p m + P L ) 2 + ϕ m ρ c p 0
ϕ f p f a t + p f a ϕ f t + k f μ p f a p f g + p f a = 0

2.2.3. Evolution Law of Fracture Porosity and Permeability

According to the definition and geometric model, the porosity of the fracture system can be expressed as presented in reference [36].
ϕ f = ( L f + L m ) 3 L m 3 ( L f + L m ) 3 3 L f L m
Assuming that the deformation of coal body is elastic, and the deformation of coal matrix is much less than that of coal fracture system, which can be ignored, there are the following:
ϕ f ϕ f 0 = L f L f 0 L m 0 L m 1 + Δ L f L f 0 = 1 + Δ ε f ,
where ϕ f is the porosity of coal fracture system; L m is the length of coal matrix; L f is the crack width; L m 0 is the initial length of coal matrix; L f 0 is the crack width; and Δ ε f is the volume strain of the fracture system.
Considering the movement of air components, the effective stress change in the cracks of the coal can be expressed as follows, based on the mechanical analysis of the coal:
Δ σ e = σ σ 0 α f p f a p f a 0 + p f g p f g 0 + α m p m g p m g 0 ,
where Δ σ e is the variation of effective stress in coal; σ is the stress acting on coal; and σ 0 is the initial stress acting on coal.
The volumetric strain of the coal fracture system can be expressed as the sum of the strain resulting from matrix adsorption and the strain induced by effective stress in the fracture system, as follows:
ε f = ε s Δ σ e K f = ε L p m p L + p m - p m 0 p L + p m 0 1 K f σ σ 0 α f p f a p f a 0 + p f g p f g 0 + α m p m g p m g 0
K f = L f K n .
The stress changes of the fracture system are as follows:
Δ σ f = K f ε L p m p L + p m - p m 0 p L + p m 0 σ σ 0 α f p f a p f a 0 + p f g p f g 0 + α m p m g p m g 0   ,
where ε f is the strain of coal mass fracture system; Δ σ f is the stress variation of coal fracture system; ε s is the adsorption strain caused by coal matrix; K f is the equivalent bulk modulus of fracture; and K n is the fracture stiffness.
The Formula (24) can be obtained in the substitution (22):
ϕ f ϕ f 0 = 1 + Δ ε f = 1 ε L p m p L + p m - p m 0 p L + p m 0 1 K f σ σ 0 α f p f a p f a 0 + p f g p f g 0 + α m p m g p m g 0   .
Previous research has demonstrated a cubic relationship between coal permeability and coal porosity.
k f k f 0 = ϕ f ϕ f 0 3 = 1 ε L p m p L + p m - p m 0 p L + p m 0 1 K f σ σ 0 α f p f a p f a 0 + p f g p f g 0 + α m p m g p m g 0 3
Figure 3 illustrates the governing equations and cross-coupling relationships of each physical field.

3. Physical Model Establishment and Simulation Analysis

Using the constructed gas–air mixed flow model, numerical simulations were conducted to analyze the impact of extraction time, various negative pressures, and air leakage on gas concentration. The simulations also provided insights into the air leakage mechanism around the gas extraction borehole.

3.1. General Situation of Mine

Liuzhuang Coal Mine is situated in the western part of the Huainan coalfield and falls within the administrative jurisdiction of Yingshang County, Anhui Province. The mine’s geographical coordinates range from approximately 116°07′30″ to 116°20′40″ east longitude and 32°45′00″ to 32°51′15″ north latitude. The mine field extends longitudinally for about 16 km from east to west and has a north–south width ranging from 3.5 to 8 km. The total area of the mine is approximately 82.2114 square kilometers, and the mining depth reaches −350 million meters. Within the Liuzhuang Coal Mine, several coal seams are identified as primary minable coal seams, namely, 13-1, 11-2, 8, 5, and 1. These seams have an average total thickness of 18.51 m. Additionally, there are several local minable coal seams, namely, 17-1, 16-1, 11-1, 9, 7-2, 6-1, 5-1, and 4, with a combined average total thickness of 9.07 m.

3.2. Physical Model

In this study, the numerical solution for the multi-field coupled seepage model is implemented using Comsol Multiphysics numerical simulation software 5.6, utilizing its built-in PDE module. The software employs a custom ultra-fine meshing method, resulting in a total of 6804 grids.
A gas drainage model is established for underground drilling at Liuzhuang Coal Mine, taking into account the geological, gas, and site conditions (as shown in Figure 4). The model has dimensions of 50 m (length) × 11 m (width), with a coal seam thickness of 3.10 m and an extraction hole diameter of 94 mm. It incorporates both mechanical and flow field boundaries. Regarding the mechanical boundary, the top of the model experiences a load boundary, representing an overlying strata pressure of 16 MPa, corresponding to a burial depth of 620 m. The left and right sides of the model have roller support boundaries with constrained normal displacement, while the bottom is fixed. As for the flow field boundary, which includes the matrix diffusion field and fracture seepage field, the initial gas pressure of the coal seam is set at 0.42 MPa. The boundary surrounding the coal seam and the sealing section of the borehole (16 m in length) are set with zero flow conditions. The effective drainage section of the borehole (20 m in length) is set to a negative pressure of 0.080 MPa (equivalent to a negative pressure of 15 kPa). Coal seam gas is naturally discharged from the coal wall of the roadway, with the boundary set at atmospheric pressure of 0.1 MPa. Table 1 provides the key parameters used as input for the model.

3.3. Permeability Distribution Law

Parallel to 1 m above the borehole, the distribution of coal seam permeability is as follows.
Figure 5 illustrates the distinctive characteristics of coal seam permeability along the depth of the borehole, dividing it into three zones: the pressure relief area, stress concentration area, and original stress area. When the borehole is in close proximity to the coal wall, the stress exerted on the coal body exceeds its yield limit, leading to the formation of fractures and a significant increase in permeability. This increased permeability creates pathways for air leakage, resulting in a decrease in gas concentration in this region. Without proper sealing measures, the gas concentration will continue to decrease. As the distance from the borehole increases, stress concentration occurs. In the stress concentration area, the permeability of the coal decreases, which leads to reduced gas fluidity and a decrease in the volume of gas extraction. When the coal body is located at a distance from the roadway and remains unaffected by driving and mining activities, its permeability maintains its original state. In this original stress area, the gas extraction volume stabilizes at a certain value.

3.4. Analysis of the Influence of Negative Pressure on Gas Drainage

The application of negative pressure in gas drainage is aimed at facilitating the flow of free gas from fractures into boreholes. Once the fracture gas is expelled, a pressure difference is created between the gas in the matrix and the gas in the fractures. This pressure difference enables effective gas drainage. Theoretical Equations (19) and (20) suggest that in theory, increasing the negative pressure in drainage should weaken the flow of gas by reducing the pressure gradient of the fracture gas. In this study, a control variable approach is utilized to simulate the occurrence of coal seam gas and borehole drainage under different negative pressure conditions while keeping other parameters constant. The simulation includes borehole gas flow, air leakage, and gas concentration. By analyzing the results, the relationship between borehole negative pressure and gas drainage is revealed. This research provides a theoretical basis for intelligently controlling the negative pressure in boreholes during the later stages of gas drainage.

3.4.1. Analysis of Gas Occurrence Law in Coal Seam under Different Negative Pressure

The simulation results demonstrate that the distribution of gas migration around the borehole follows a consistent trend across different borehole negative pressures (13 kPa, 15 kPa, 17 kPa, and 20 kPa). Therefore, Figure 6 displays the gas–air migration distribution specifically under a negative pressure of 15 kPa.
In Figure 6, it is observed that the coal wall adjacent to the roadway, affected by mining disturbances, exhibits lower gas pressure compared to the extension of the boreholes where the gas pressure increases. This pressure difference drives the gas to flow into the boreholes and roadways under negative drainage pressure. Simultaneously, air in the roadway is pushed through mining-induced fracture channels towards the coal seam and boreholes by pressure gradients. During the initial stage of borehole gas drainage, the coal seam fissures have a high gas content and pressure gradient. As a result, a substantial amount of gas rushes into the boreholes under the influence of negative pressure drainage. Consequently, during this period, the gas concentration in the extraction borehole is relatively high, and the flow rate is considerable. However, as the drainage time progresses, the gas content and pressure gradient in the coal surrounding the borehole gradually decrease. Conversely, the air content and pressure gradient in the coal around the borehole increase, leading to a continuous influx of air into the borehole. As a result, the flow rate of pure gas decreases while the gas concentration in the extraction borehole continues to decrease.

3.4.2. Gas Extraction from Boreholes under Different Negative Pressure

Different negative pressures of extraction have an impact on the air leakage in the cracks surrounding the borehole. Figure 7 illustrates the borehole drainage, including borehole gas flow, air leakage, and gas concentration, under different borehole negative pressures (13 kPa, 15 kPa, 17 kPa, and 20 kPa). According to Figure 7a,b, increasing the negative pressure of the borehole leads to an increase in gas flow and its attenuation rate within the borehole, along with an increase in air leakage. This can be attributed to several factors. Firstly, as the extraction time progresses, the effectiveness of negative pressure gradually weakens. Larger negative pressures contribute less to gas extraction. Instead, the larger negative pressure is primarily utilized to extract the air rushing into the borehole from the cracks surrounding it, resulting in a gradual increase in air leakage. Secondly, due to the dynamic pressure disturbance from the extraction borehole and the coal matrix shrinkage, the cracks surrounding the borehole gradually develop, resulting in a decrease in air leakage resistance and an increase in air leakage. Therefore, increasing the negative pressure of the boreholes reduces the gas concentration within the boreholes. Consequently, selecting an appropriate negative pressure is crucial for ensuring the economic cost and effectiveness of the project. It involves finding a balance between gas extraction efficiency, air leakage control, and overall project feasibility.

3.4.3. Field Verification

According to the simulation results, the field test of 150804 is carried out to verify the accuracy of the model and provide the basis for regulation and control. The test scheme is as follows.
Figure 8 displays the specific drilling hole numbers along the groove, corresponding to the actual situation of the 150804 tape. The changes in flow rate and concentration negative pressure over time are investigated under different negative pressure conditions, namely, 13 kPa (No. 1), 15 kPa (No. 2), and 20 kPa (No. 3). The single holes are identified as No. 1–3 boreholes, while the group boreholes are labeled as No. 4–18. The group holes are further divided into three groups: 13 kPa (No. 4–8), 15 kPa (No. 9–13), and 20 kPa (No. 14–18). The specific connection mode among these boreholes is illustrated in Figure 8.
Figure 9 illustrates a comparison between the field-measured concentration and flow data of hole 2 (15 kPa) and the corresponding simulated data. The results show that as the pumping time increases, the extraction concentration and flow rate of the test borehole exhibit a decreasing trend. Specifically, the extraction concentration decreases from 16% to approximately 5%, while the flow rate decreases from 0.002 m3/min to 0.0005 m3/min. Importantly, the field-measured data demonstrate a good agreement with the simulated data, with concentration and flow rate errors of less than 10%. This confirms the validity of the model and provides a solid basis for the regulation and control of gas drainage boreholes.

3.4.4. Negative Pressure Control System

Figure 10 illustrates the architecture of the gas extraction control system, which consists of three main components: an intelligent integrated management and control platform, an underground monitoring and control substation, and a system communication transmission. The intelligent terminal includes a laser methane multi-parameter analyzer installed on the gas pumping pipelines at the test face, as well as an electric device for mine flameproof valves. These terminals are responsible for monitoring the extraction state parameters such as gas concentration, extraction negative pressure, flow rate, CO concentration, and temperature. They also adjust the valve opening state accordingly. The underground monitoring and control substation performs essential functions such as data storage, data transit, and direct control of terminal equipment. These functions are realized through the substation’s PLC control cabinet. The communication transmission part facilitates the underground data upload, transit, and ground command issuance. The logic of this component is as follows: the underground monitoring and control substation accesses the mining industrial ring network through optical fiber; the relevant information is then transmitted back to the ground intelligent integrated management and control platform via a switch. Valve regulation can be effectively carried out on the ground platform.
In order to further validate the effectiveness of negative pressure control, a solenoid valve is installed for the purpose of opening, closing, and adjusting, as shown in Figure 11. Based on the research conclusions regarding the influence of negative pressure on gas extraction effectiveness, a negative pressure adjustment test was conducted on the extraction at the 150804 face of Liuzhuang Coal Mine. The results indicate that after pumping the test single hole, the initial gas concentration is approximately 40%. However, the gas concentration decreases rapidly over time. After implementing control measures, the concentration in the drilling hole increased by around 10%, representing a relative increase ratio of more than 40%. The higher concentration extraction was maintained for nearly 3 to 4 weeks, significantly improving the extraction effectiveness (Figure 12). Considering the fast attenuation rate of gas concentration in the working face and the short duration of high concentration extraction, the simulation results mentioned above suggest that the borehole gas concentration in the control group during the later stages of extraction is lower than that in the test hole. This discrepancy could be attributed to the increased air leakage resulting from the mining side’s negative pressure setting being too high.
Manual regulation of the negative pressure is carried out to assess its impact on gas drainage. By carefully regulating and controlling the negative pressure, the gas concentration in an individual borehole is maintained at a stable level exceeding 25%. Figure 13 illustrates this data, highlighting the improved extraction capacity of the mine and ensuring the safe production of the coal mine.

4. Conclusions

In this paper, we have successfully established an air leakage model for boreholes in coal mining. We have investigated the gas–air migration law and air leakage mechanism during gas drainage using this model and verified its accuracy. The main findings of our study are summarized as follows:
(1)
In this study, we have incorporated the elastic–plastic mechanics theory of coal, Fick’s law, and Darcy’s law to derive the governing equation for coal deformation and the dynamic change equation for permeability. Building upon the double porosity medium model, we have developed a comprehensive coupling model for the “coal seam gas–air” binary mixed gas. This model takes into account crucial factors such as coal matrix deformation, pore gas diffusion, fracture gas seepage, and gas leakage. By considering these elements, our model provides a solid theoretical foundation for analyzing the impact of negative pressure on gas drainage effectiveness.
(2)
In our research, we have conducted simulations to study the variations of gas flow and gas concentration over time under different negative pressure conditions. By comparing the simulation results with the field test data, we have found that our model exhibits good agreement with the actual measurements. This validation of our model provides a solid basis for regulating negative pressure in gas drainage operations.
(3)
During the gas drainage process, the application of negative pressure plays a crucial role in facilitating the flow of free gas into the borehole. This creates a pressure difference between the matrix and the fractured gas, allowing for the effective drainage of gas. However, as the extraction time increases, the diminishing effect of negative pressure reduces its contribution to gas flow, leading to more significant air leakage. To address this issue, it is important to reduce the negative pressure during the later stages of gas extraction. By doing so, we can minimize air leakage, improve gas concentration, and enhance the utilization of resources.
(4)
The collected data clearly indicate that the implementation of negative pressure control in gas drilling at the test face has resulted in a significant improvement in the gas concentration of the borehole. The gas concentration of the drainage gas is consistently maintained at levels exceeding 25%. This enhancement in gas concentration has led to a significant improvement in the extraction capacity, which effectively ensures the safety of mine production.

Author Contributions

Conceptualization, H.G. and F.D.; methodology, X.C.; software, H.G.; validation, J.Z., X.C. and A.Z.; formal analysis, H.G.; investigation, F.D.; resources, H.G.; data curation, F.D.; writing—original draft preparation, H.G.; writing—review and editing, H.G.; project administration, J.Z.; funding acquisition, F.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Natural Science Foundation of China (No. 52130409, No. 52121003).

Data Availability Statement

The data are available from the corresponding author on reasonable request.

Acknowledgments

We would like to thank the anonymous reviewers for their valuable comments and suggestions that lead to a substantially improved manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Schematic diagram of the on-site drilling layout.
Figure 1. Schematic diagram of the on-site drilling layout.
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Figure 2. Schematic diagram of ideal coal body composed of coal matrix and cracks.
Figure 2. Schematic diagram of ideal coal body composed of coal matrix and cracks.
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Figure 3. Governing equations and cross-coupling relations of each physical field.
Figure 3. Governing equations and cross-coupling relations of each physical field.
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Figure 4. Gas drainage model by borehole.
Figure 4. Gas drainage model by borehole.
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Figure 5. The change law of permeability along the depth of boreholes.
Figure 5. The change law of permeability along the depth of boreholes.
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Figure 6. Gas distribution and migration in coal seam fissures around boreholes under the condition of 15 kPa negative pressure: (a) gas migration; (b) air migration.
Figure 6. Gas distribution and migration in coal seam fissures around boreholes under the condition of 15 kPa negative pressure: (a) gas migration; (b) air migration.
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Figure 7. Gas drainage from boreholes with different negative pressure orders: (a) borehole air flow; (b) borehole gas flow; (c) gas concentration in boreholes.
Figure 7. Gas drainage from boreholes with different negative pressure orders: (a) borehole air flow; (b) borehole gas flow; (c) gas concentration in boreholes.
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Figure 8. 150804 Test drilling scheme diagram.
Figure 8. 150804 Test drilling scheme diagram.
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Figure 9. Comparison between field data and simulation data: (a) drill gas concentration decay curve over time; (b) drill flow decay curve over time.
Figure 9. Comparison between field data and simulation data: (a) drill gas concentration decay curve over time; (b) drill flow decay curve over time.
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Figure 10. Gas negative pressure regulation system architecture.
Figure 10. Gas negative pressure regulation system architecture.
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Figure 11. Installation drawing of solenoid valve.
Figure 11. Installation drawing of solenoid valve.
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Figure 12. Drill control effect diagram.
Figure 12. Drill control effect diagram.
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Figure 13. Gas concentration diagram of test borehole.
Figure 13. Gas concentration diagram of test borehole.
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Table 1. Parameters of multi-field coupling model.
Table 1. Parameters of multi-field coupling model.
ParameterValueParameterValue
Langmuir pressure constant ( p L )6.019 (MPa)Poisson’s ratio of coal ( ν b )0.3369
Molar volume ( V m )16(m3/mol)Young’s modulus of coal ( E b )2843 (MPa)
Langmuir volume constant ( V L ) 0.024 (m3/kg)Young’s modulus of the coal grains ( E m )8139 (MPa)
Langmuir volumetric strain constant ( ε L )0.1726 (%)Gas dynamic viscosity ( μ )1.08 × 10−5 (Pa·s)
Internal swelling ratio ( F )0.2Density of coal ( ρ c )1390 (kg/m3)
Initial cohesion of coal ( c )1.6 (MPa)Internal friction angle of coal ( φ )22 (°)
Coal temperature ( T )303.15 (K)Molar gas constant( R )8.314 (J/(mol·k))
Initial porosity of the matrix ( ϕ m 0 )0.06Molar mass of gas ( M c )0.016 (kg/mol)
Coal matrix adsorption time ( τ )13.66 (d)Initial residual plastic strain ( γ p * )0.3326 (%)
Initial permeability of the matrix k f 0 0.05 (mD)Initial fracture rate of coal ( ϕ f 0 )0.012
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Gao, H.; Du, F.; Cheng, X.; Zhang, J.; Zhou, A. Study on the Influence Mechanism of Air Leakage on Gas Extraction Effect—A Numerical Case Study of the Coal Mine Site in Anhui. Processes 2023, 11, 2161. https://doi.org/10.3390/pr11072161

AMA Style

Gao H, Du F, Cheng X, Zhang J, Zhou A. Study on the Influence Mechanism of Air Leakage on Gas Extraction Effect—A Numerical Case Study of the Coal Mine Site in Anhui. Processes. 2023; 11(7):2161. https://doi.org/10.3390/pr11072161

Chicago/Turabian Style

Gao, Han, Feng Du, Xiaoyu Cheng, Jinjie Zhang, and Aitao Zhou. 2023. "Study on the Influence Mechanism of Air Leakage on Gas Extraction Effect—A Numerical Case Study of the Coal Mine Site in Anhui" Processes 11, no. 7: 2161. https://doi.org/10.3390/pr11072161

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