Next Article in Journal
Plugging Experiments on Different Packing Schemes during Hydrate Exploitation by Depressurization
Next Article in Special Issue
Research on Intelligent Control of Regional Air Volume Based on Machine Learning
Previous Article in Journal
Numerical Simulation of Hydraulic Fracture Propagation in Conglomerate Reservoirs: A Case Study of Mahu Oilfield
Previous Article in Special Issue
Column-Hemispherical Penetration Grouting Mechanism for Newtonian Fluid Considering the Tortuosity of Porous Media
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Experimental Study on Migration and Intrusion Characteristics of Pulverized Coal in Propped Fractures

1
College of Energy and Mining Engineering, Shandong University of Science and Technology, Qingdao 266590, China
2
College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China
3
Mine Disaster Prevention and Control-Ministry of State Key Laboratory Breeding Base, Shandong University of Science and Technology, Qingdao 266590, China
*
Author to whom correspondence should be addressed.
Processes 2023, 11(7), 2074; https://doi.org/10.3390/pr11072074
Submission received: 22 April 2023 / Revised: 8 July 2023 / Accepted: 10 July 2023 / Published: 12 July 2023

Abstract

:
Aiming at the problem of pulverized migration and plugging propped fractures during coal seam fracturing, we experimentally studied the pressure changes and pulverized coal blocking characteristics with deionized water and solutions of three surfactants including 1227 (C21H38ClN), SDS (C12H25SO4Na) and TX-100 (C34H62O11). A device capable of visualizing propped fractures was established, and simulation experiments were conducted with solutions of different surfactants at different injection flow rates. The obtained images were binarized and analyzed to quantify the pulverized coal blockage degrees of facture under different conditions. The experimental results show that: (1) The higher the injection flow rate, the higher the inlet pressure. (2) All three surfactants can lower the injection pressure, as compared with water alone. SDS decreases the injection pressure more obviously at low injection flow rates, and the other two perform better at high injection flow rates. (3) Similar to their effects on inlet pressure, the ratio of pulverized coal in SDS solution is lower at low injection flow rates, while TX-100 and 1227 solutions show lower ratios of pulverized coal at high injection flow rates. Our work has provided a theoretical support for coal blockage removal and pressure reduction in propped fractures during coal seam fracturing to improve coal seam permeability and further improves the dust prevention effect of coal seam water injection.

1. Introduction

The problem of dust pollution is becoming more and more serious, with the improvement of coal mine mechanization seriously affecting the health of underground equipment and personnel. Coal seam water injection can effectively prevent and control dynamic disasters in coal mining, such as mine dust and coal and gas outbursts [1,2]. With the increase of mining depth, coal seam water injection gradually becomes more difficult [3]. For the fracturing of some deeply buried coal seams with poor permeability, proppants are added into fracturing fluids to prevent fracture closure. After a proppant is added, the early fracturing and the friction and extrusion of the proppant on the fracture wall produce pulverized coals that migrate in the propped fracture with the fluid and eventually block the fracture [4], causing low coal seam permeability, low fracture conductivity and poor water injection effects. Therefore, reasonable prevention and control measures of pulverized coals are very important to achieve good permeability and fracture conductivity of coal seams. A large number of experiments on pulverized coal prevention and control have been conducted in the lab and by field study [5,6,7]. It is found that the surface wetting properties of pulverized coal can be greatly changed by the introduction of surfactants [8,9,10,11,12,13,14,15,16,17,18] or changing its particle size and other variables, providing a theoretical basis for pulverized coal control [19,20,21]. Some scholars also studied pulverized coal control from the perspective of its migration in propped fracture by simulating its intrusion process into propped fracture in the lab. The migration law and the damaging mechanism to fracture conductivity were investigated by varying the particle size of pulverized coal, fracture width, injection flow rate and proppant [22,23,24,25,26]. In addition, the permeability of pulverized coal and blocked coal seams is also quantitatively described using mathematical models [27,28,29,30]. These extensive studies provide understanding of the properties of pulverized coal and surfactant and the fracture conductivity during the migration of pulverized coal. Yet, discussion on the injection pressure changes caused by the mixing of pulverized coal and proppant and the actual pulverized coal blockage state of propped fracture is still lacking. In particular, the migration of pulverized coal in propped fracture remains unclear from the perspective of injection pressure, which makes it difficult to affectively improve pulverized coal prevention and control in coal seam water injection. In this work, a certain amount of pulverized coal was mixed into propped fractures, and the solutions of different surfactants were injected into the fractures at different injection flow rates. The pressure changes and the actual blocking statuses under different injection conditions were recorded to reveal the pulverized coal prevention and control effects of the surfactants in coal seam water injection and to provide a scientific basis for the actual coal mine production.

2. Experimental Design

2.1. Experimental Setup

A pulverized coal migration visualization and fracture simulation device capable of generating fractures with different opening degrees was developed in-house. It was mainly composed of a TYD-01 syringe pump (produced by Baoding Lead Fluid Technology Co., Ltd., Baoding, China), pressure monitoring system (which consists of the Microfluidic Sensor Reader sensor data acquisition card, the PS3 model liquid pressure sensor and the Elveflow Smart Interface v3.0.19 acquisition software, which are all produced by Microfluidics Company Elvesys Group from France, acquisition frequency, 20 per second), a stereo microscope (produced by Leica AG in Germany, the S9I has a 10 million pixel integrated lens with a maximum resolution of 500 lp/mm), a computer (HP 290 G3 SFF Business PC produced by Hewlett Packard Inc., Palo Alto, CA, USA), glass plates and a holder. The solution in the microfluidic pump was pumped into the pre-laid visible fracture where pulverized coal was mixed with the proppant. The pulverized coal migrations in the propped fracture were visualized, and injection pressure changes were recorded as different solutions were injected at different flow rates.

2.2. Coal and Solution Samples

To explore the effects of different surfactants and injection flow rates on injection pressure, as well as the migration law of pulverized coal in propped fractures, three injection flow rates and four solutions were designed. Deionized water and the solutions of 1227 (C21H38ClN), SDS (C12H25SO4Na) and TX-100 (C34H62O11) and the flow rates of 4 mL/min, 7 mL/min and 10 mL/min composed a total of 12 groups of tests. Coal powder with particle sizes >120 mesh and white quartz sand with particle sizes of 16–20 mesh (0.85–1.18 mm) were used as the pulverized coal sample and the proppant. The sanding concentration was 0.5 g/cm2. The selection of pulverized coal particle size is based on the particle size of pulverized coal produced in CBM drainage. The maximum mass ratio is 0.1–150 μm, which accounts for 0.64–3.71%. Therefore, pulverized coal with a particle size less than 125 μm is selected for the test [31]. The actual water injection flow rate is used to simulate the water injection flow rate in the test. Three flow rates are set to represent the flow rate entering the fracture, which are 4 mL/min, 7 mL/min, and 10 mL/min, respectively. The corresponding field flow rates are 1 m3/h, 1.7 m3/h and 2.5 m3/h. The sand concentration in engineering practice is judged according to the situation on site. Most of the sand concentration is 5, 7.5, 10 and 15 kg/m2. We choose the commonly used sand concentration of 5 kg/m2, which is converted to 0.5 g/cm2. (The volume density of the quartz sand selected in this experiment is 1.426 g/cm3, and the simulated crack size is 3 cm × 2 cm × 0.35 cm = 2.1 cm3. Therefore, the crack volume and volume density are calculated: 1.426 g /cm3 × 2.1 cm3 = 2.99 g. The sand concentration is 0.5 g/cm2. The sand area is 6 cm2, and the quartz sand in the crack is 6 cm2 × 0.5 g/cm2 = 3 g.) The information of surfactants is shown in the following Table 1.

2.3. Solution Surface Tension Test

Surface tension is a special force and a manifestation of liquid properties. The surface tension of different liquids is different, which is an important physical parameter to discuss the liquid surface and its properties. Whether the liquid can infiltrate the solid is related to its surface tension. The smaller the value, the easier it is to infiltrate the solid. This experiment uses the Kruss DSA30 droplet shape analyzer (produced by Kruss, Hamburg, Germany). The Table 2 shows the surface tension of the solution used. It can be seen that the surface tension of different solutions is different, and the surface tension decreases with the increase in concentration. The surface tension of the three surfactants is the smallest when the mass concentration is 1%. Therefore, in order to avoid the experimental error, a solution of 1% mass concentration is selected for the test. It can be seen from the table that the surface tension of 1227 solution is the smallest at 1% mass concentration, and the surface tension of SDS solution is the largest at 0.1% mass concentration. The measured surface tension of deionized water is 71.7 mN·m−1.

2.4. Methods

Before the experiment, check whether the value of the pressure sensor is normal, set it to zero, connect each pipeline and use the micro-flow pump to inject 4, 7, 10 and 12 mL/min flow rate of liquid to observe the tightness of the crack and whether there is water seepage at the edge. The mixture of coal powder and proppant was put into the fracture between glass plates fixed with a holder. As shown in Figure 1, the microfluidic pump, pressure sensor, glass fracture, stereo microscope and computer were connected in order. The injection flow rate was set as shown in Table 1. The experiment was started once the sensor record was stable. The specific experimental design is shown in Table 3.

3. Results and Analysis

3.1. Injection Pressure Changes of Different Surfactant Solutions at Different Flow Rates

A series of propped fracture experiments were conducted with the solutions of three different surfactants using water was used as the control group. The pressure changes at different flow rates and those of different surfactant solutions at the same flow rate were analyzed and compared.
Figure 2 shows the injection pressure changes during the injection of deionized water at different flow rates. As can be seen, the inlet pressure gradually increases with the increase of the flow rate [6]. At the same injection flow rate, the inlet pressure gradually becomes stable with the prolongation of injection time, and the coal powder migration reaches the dynamic equilibrium in the propped fracture. The inlet pressures at the injection flow rates of 4 mL/min, 7 mL/min and 10 mL/min were, respectively, averaged and used as the reference pressures for the injections of the solutions of surfactants.
Figure 3a reveals that the inlet pressure gradually increases with the increase of the injection flow rate of 1% SDS solution. Compared with that of deionized water injection, the mean inlet pressure decreases by 14.2% at the flow rate of 4 mL/min, increases by 2.7% at the flow rate of 7 mL/min and drops by 3.1% at the flow rate of 10 mL/min. The SDS solution reduces the injection pressure most at the flow rate of 4 mL/min because the contact between the anionic wetting agent and the coal powder makes the coal surface prone to being combined with water [32,33]. More channels are formed from the coal powder migrating along with the injection flow, leading to the injection pressure drops. Further increasing the injection flow rate only changes the pressure growth rate slightly. On the other hand, the reason is that the surface tension of the SDS solution is reduced, and it is easier to wet pulverized coal [34].
As shown in Figure 4, the inlet pressure also gradually increases with the increase of injection flow rate of 1% 1227. Compared with that of deionized water injection, the inlet pressure shows no significant changes at the injection flow rate of 4 mL/min, drops by 6.5% at the injection flow rate of 7 mL/min and decreases by 8.9% at the injection flow rate of 10 mL/min. The cationic surfactant 1227 forms an unstable hydrophobic layer after contacting the surface of pulverized coal, which easily leads to the aggregation of pulverized coal [34]. Therefore, the pressure growth rate decreases with the prolongation of injection time.
Similarly, the injection pressure of 1% TX-100 solution gradually increases with the increase of injection flow rate (Figure 5). Compared with that of deionized water injection, the average injection pressure of 1% TX-100 increases by 21.5% at the injection flow rate of 4 mL/min, decreases by 4.85% at the injection flow rate of 7 mL/min and drops by 6.2% at the injection flow rate of 10 mL/min. Figure 3a, Figure 4a and Figure 5a of the pressure curve of the peak represents the pressure reaching its maximum value. It shows that at this time, the pulverized coal in the crack flows into each flow channel with the flow of the liquid and causes blockage, so the pressure peak appears. In addition to the decrease in surface tension of the surfactant, the pulverized coal is easy to wet. Another reason is that the surface of the pulverized coal and the anionic surfactant contains both hydrophobic and hydrophilic groups. In the anionic surfactant solution, the hydrophobic group on the surface of the pulverized coal is adsorbed with the hydrophobic group of the anionic surfactant, and the hydrophilic group of the anionic surfactant faces the liquid, making the pulverized coal easy to wet. The cationic surfactant adsorbs the positively charged hydrophilic group on the surface of the pulverized coal in the solution, and the negatively charged hydrophobic group is also adsorbed on the surface of the pulverized coal due to the van der Waals force, forming a hydrophobic layer and reducing the aggregation of the pulverized coal. The adsorption mechanism of non-ionic surfactants on coal dust is different from that of ionic surfactants. Non-ionic surfactants do not have an ionization phenomenon in water but exist in solution in molecular form. The hydrophobic groups of non-ionic surfactants are adsorbed on the surface of pulverized coal, and the hydrophilic groups face the liquid. These hydrophilic groups will accelerate wetting [34,35,36,37]. In all, different types of surfactants show different performances in the injection pressure reduction.

3.2. Images Obtained with Solutions of Different Surfactants at Different Flow Rates

Pulverized coal migrates and flows with water or surfactant solution in propped fractures. When the migration of some coal particles is blocked by pore cracks, they deposit and block the fracture. As shown in Figure 6, These cracks that intercept pulverized coal are shrinking pore throat channels. Due to the shrinkage of the width of the channel, the pulverized coal forms a bridging blockage at the pore throat. In addition, there is another effect that causes blockage in the channel of the crack. When the bubble flows to the narrow mouth of the crack, the diameter of the bubble is larger than the diameter of the hole, so that the pulverized coal cannot pass through and form a blockage [7,38]. Other coal particles move forward with the flow. The coal deposition can block the migration channels of pulverized coal in propped fractures.
In this experiment, the gap between glass plates was designed to simulate propped fracture, and white quartz sand was used as the proppant. The deposition of coal powder can be used to simulate the blockage of propped fracture. After 40 min of the experiment, the image of the propped fracture was recorded and binarized for further analysis. Because of the obvious black-and-white contrast between pulverized coal and proppant, MATLAB (R2020b) software is used to binarize the image. The principle of image binarization is to convert an RGB image into a gray image, automatically select a threshold value and then convert it into a binary image. The operation steps are realized by the functions in the MATLAB software. The RGB image is imported into the software, and the gray thresh function is used to convert the gray image, and the threshold is automatically determined. The im2bw function is converted into a binary image. The pixels on the binary image have only two values of black and white (0 means black; 1 means white). Figure 7 is a schematic diagram of converting an RGB image into a binary image. On the binarized image, the pixels with gray level of 0 (black) refer to the coal particles. The ratio of the number of pixel 0 (black) to the total number of pixels represents the ratio of pulverized coal (R). R can be expressed as Equation (1).
R = P/G,
where R is the portion of pulverized coal, P is the number of pixels with gray level of 0 and G is the total number of pixels.
The ratios of pulverized coal in different solutions injected at different flow rates were obtained, which are combined with the inlet pressure to reveal the coal find migration characteristics with different surfactants added and at different injection flow rates.

3.2.1. Ratios of Pulverized Coal at Different Flow Rates

Figure 8 shows the ratios of pulverized coal in different solutions injected at the flow rate of 4 mL/min. As can be seen, the R in the SDS solution is the smallest with a value of 30.4% at this low flow rate, indicating that it has the highest fluidity. As demonstrated above, the SDS solution decreases the injection pressure by 14.2% at this flow rate (Figure 3). These results suggest that the solution discharges more pulverized coal, increases the number of seepage channels and thus lowers the inlet pressure.
As the injection flow rate increased to 7 mL/min, the R in TX-100 solution becomes the smallest with the value of 15.98% (Figure 9), indicating that the injection of TX-100 solution at this flow rate causes the least fracture blockage. Despite its low R, the TX-100 solution only slightly decreases the injection pressure because the interaction between this non-ionic surfactant with pulverized coal increases the viscosity of the solution (Figure 5).
At the injection flow rate of 10 mL/min, both the 1227 and TX-100 solutions show significantly lower R, with the values of 5% and 6.76%, respectively (Figure 10). As shown in Figure 4 and Figure 5, the 1227 and TX-100 solutions lower the injection pressure by 8.9% and 6.2%, respectively, at this flow rate. These results indicate that both non-ionic and cationic surfactants perform very well on reducing pulverized coal blockage in propped fracture at high injection flow rates.
The comparison of the ratios of pulverized coal in different solutions injected at different flow rates suggests that all the surfactant solutions can improve the pulverized coal blockage in propped fracture but show different ratios of pulverized coal at low, medium and high injection flow rates. Both R and injection pressure of the anionic surfactant solution are lower at low injection flow rates.

3.2.2. Ratios of Pulverized Coal in Solutions of Different Surfactants

Figure 11 shows the ratios of pulverized coal in the solutions of different surfactants injected at different flow rates. As can be seen, the R of deionized water remains almost constant as the injection flow rate varied. The performance of the SDS solution at the low flow rate is the best among the four fluids, while the TX-100 and 1227 solutions perform better at the high flow rate with lower R and thus cause less blockage. The TX-100 solution also works very well at the medium flow rate with an R of 15.98%. Overall, the TX-100 solution can be applied to a wider range of flow rate. From the perspective of a single solution, the R of the SDS solution increases with the increase of flow rate, and those TX-100 and 1227 solutions decrease with the increase of flow rate. We analyze the reason for this phenomenon because, at a medium-high injection speed, most of the pulverized coal is quickly pushed from the inlet end to the outlet end by the solution. Due to the small width of the outlet end, a large amount of pulverized coal accumulates at the outlet end. The hydrophobic group of the nonionic surfactant (TX-100) [39] is adsorbed on the surface of the pulverized coal, and the hydrophilic group faces the liquid. These hydrophilic groups will accelerate wetting. Due to the accumulation of pulverized coal in the pore throat channel, the solution gradually wets the pulverized coal at the blockage. At the same time, due to the flow rate and pressure, the pulverized coal is quickly discharged, resulting in a rapid decrease in the amount of pulverized coal. The pulverized coal accumulated behind it is not fully wetted and discharged. The wetting mechanism of pulverized coal at low speed is consistent with that at medium and high speed, but the migration of pulverized coal at low speed is not as fast as that at medium and high speed, and there is enough time to wet pulverized coal, which leads to the solution being able to find a lot of seepage channels in the fracture and take away some wet pulverized coal, so that the content of pulverized coal in the fracture is higher and then tends to be stable [40]. The wetting effect of anionic surfactant (SDS) and cationic (1227) and non-ionic (TX-100) surfactants on the proportion of pulverized coal at each flow rate is better at each flow rate because the wetting rate of anionic surfactant is faster when contacting pulverized coal and the adsorption of anionic surfactant is stronger, so there is no difference between cationic (1227) and non-ionic (TX-100) surfactants at medium and high flow rates.

3.3. Formula Derivation and Experimental Verification of Inlet Pressure

If the channels formed in proppant fractures are considered as a capillary bundle model, the inlet pressure equation can be deduced with the Carman–Kozeny equation for the relationship between the seepage channel r and permeability (K) and the absolute permeability equation as follows.
The absolute permeability equation can be expressed as:
Q = K · Δ P · A μ L
where Q is the flow rate, K is the permeability, Δ P is the pressure difference, A is the area, L is the length and μ is the viscosity.
The Carman–Kozeny [41,42] equation can describe the relation between seepage change ( r ) and K as:
K = φ r 2 8 τ 2
where r is the effective flow radius, τ is the tortuosity of the effective flow pores and φ is the porosity. The porosity can be obtained from the capillary bundle model as:
φ = N π r 2 L A L
where A is the cross-sectional area of the unit, L is the length of the unit, N is the number of capillaries in the unit and r is the effective radius.
As shown in Figure 12, the entire section can be divided with an equilateral triangle with side length R , and the number of capillaries can be calculated as:
N = A 3 R 2
where R is the proppant particle radius, and A is the unit volume area.
The inlet pressure then can be obtained from Equations (2)–(5) as:
Δ P = 8 3 Q R 2 τ 2 μ L A π r 4
The details of all the parameters in the formula are shown in Table A1.
The injection pressures of different solutions at different injection flow rates are then calculated and compared with the measured values as shown in Figure 13.
The measured pressures are generally higher than the calculated ones, and yet their changing trends are similar. The difference between the measured and theoretical values are possibly due to external factors, such the error of each experimental assembly and the measurement error of pressure sensor. In addition to the above errors, the reason for the large difference in the experiment is that the pulverized coal is more concentrated in the crack. Due to the fast flow rate, the pulverized coal accumulates in the channel, and the pressure peak rises, resulting in a large deviation between the test pressure and the theoretical pressure. The standard deviation of the test is shown in Table A2.

4. Conclusions

In the present work, the seepage of hydraulic fracturing fluid in a propped fracture was visualized for different fluids at different injection flow rates. The corresponding inlet pressure changes were analyzed, and the ratios of pulverized coal under different conditions were obtained from the fracture images to evaluate the blockage degree of propped fracture. Based on the results, the following conclusions can be drawn.
(1) All the inlet pressures of water and the solutions of three surfactants gradually increase with the increase of injection flow rate. The pulverized coal flows with the fluid. Some of the coal particles accumulate around the proppant and block the flow channel, while some find new flow channels in the propped fracture and flow along with the fluid until they are discharged. Through experimental observation, the above conclusions are basically reflected in each solution and each flow rate. The difference is that there are more blockages in deionized water. This blockage phenomenon is a common one. There is no clear standard, but it can be observed by the change in pressure and image analysis to determine whether there is a blockage. The blocked flow channel may be washed through by the subsequent flow, which causes fluctuations of inlet pressure. When the flow rate, proppant and coal powder reach dynamic equilibrium, the inlet pressure becomes stable. This stability occurs for a long time after the injection of the liquid. In proppant cracks, as the injection time increases, the pulverized coal changes with the flow of the liquid. Continue to inject the liquid until the pressure does not change significantly. The dynamic balance of flow rate, proppant, and pulverized coal is formed.
(2) Different surfactants reduce the inlet pressure differently. The solutions of all three different surfactants injected with coal powder into propped fractures show lower injection pressures. Compared to that of deionized water, the injection pressure of SDS solution at the low flow rate drops by 14.2%, and those of the TX-100 solution and 1227 solution drop more obvious at the high flow rate, by 6.2% and 8.9%, respectively. Both anionic and cationic surfactants can alter the surface electrical properties of the coal powder, which reduces the accumulation and deposition of pulverized coal in the fracture and thus prevents the seepage channel blockages.

Author Contributions

Conceptualization, L.Y. and Q.H.; methodology, Q.Z. and Q.H.; software, Z.H.; validation, E.W. and Z.H.; formal analysis, L.Y.; investigation, Q.Z.; resources, Q.H.; data curation, Z.H.; writing—original draft preparation, L.Y.; writing—review and editing, Q.Z.; visualization, E.W.; supervision, Q.H. and L.Y.; project administration, Q.Z. and L.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (Grant No. 51974176, 52174194), the Shandong Province Natural Science Foundation of Outstanding Youth Fund (Grant No. ZR2020JQ22).

Data Availability Statement

Date are contained within the article.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. The formula parameter table in this paper.
Table A1. The formula parameter table in this paper.
QThe volume of liquid injected4 mL/min = 0.067 cm3/s
7 mL/min = 0.117 cm3/s
10 mL/min = 0.167 cm3/s
AFracture cross-sectional area0.7 cm2
LCrack length3 cm
μ The viscosity of the liquidSDS (0.00098 pa·s)
1227 (0.00102 pa·s)
TX-100 (0.00106 pa·s)
rEffective flow radius0.002634 R4 = r4
RThe average radius of proppant particle size1.105 mm
τThe tortuosity of effective flow pores5.08
π The ratio of circumference to diameter3.14
Δ P The pressure difference between the inlet and the outlet
Table A2. Experimental standard deviation table.
Table A2. Experimental standard deviation table.
NO.FluidError
1water9.5
2water6.8
3water17.6
41% SDS8.1
51% SDS10
61% SDS12
71% 12278
81% 12277.6
91% 122710.8
101% TX-1008.9
111% TX-1009
121% TX-10010

References

  1. Qin, Y.-J.; Su, W.-W.; Tian, F.-X.; Chen, Y.-P. Research status and development direction of microcosmic effect under coal seam water injection. J. China Univ. Min. Technol. 2020, 49, 428–444. [Google Scholar] [CrossRef]
  2. Cheng, W.-M.; Zhou, G.; Chen, L.-J.; Wang, G.; Nie, W.; Zheng, Q.-T. Research progress and prospect of dust control theory and technology in China’s coal mines in the past 20 years. Coal Sci. Technol. 2020, 48, 1–20. [Google Scholar] [CrossRef]
  3. Cheng, W.-M.; Nie, W.; Zhou, G.; Yu, Y.-B.; Ma, Y.-Y.; Xue, J. Research and practice on fluctuation water injection technology at low permeability coal seam. Saf. Sci. 2012, 50, 851–856. [Google Scholar] [CrossRef]
  4. Awan, F.U.R.; Arif, M.; Iglauer, S.; Keshavarz, A. Coal fines migration: A holistic review of influencing factors. Adv. Colloid Interface Sci. 2021, 301, 102595. [Google Scholar] [CrossRef]
  5. Wang, W.; Zhao, H. Study on the Mechanism of Fiber Fracturing Fluid Controlling Pulverized Coal Transportation. Energies 2022, 15, 2165. [Google Scholar] [CrossRef]
  6. Dontsov, E.V.; Peirce, A.P. Proppant transport in hydraulic fracturing: Crack tip screen-out in KGD and P3D models. Int. J. Solids Struct. 2015, 63, 206–218. [Google Scholar] [CrossRef]
  7. Shi, J.; Feng, Z.; Zhou, D.; Meng, Q.; Hu, L.; Li, X. Experimental study on coal blockage removal based on pulverized coal blockage. J. Pet. Sci. Eng. 2022, 217, 110885. [Google Scholar] [CrossRef]
  8. Weng, A.-Q.; Yuan, S.-J.; Wang, X.-N.; Ma, R.-F. Study on application of surfactant compound in coal seam water injection for dust reduction. China Saf. Sci. J. 2020, 30, 90–95. [Google Scholar] [CrossRef]
  9. Xu, L.M.; Li, Y.J.; Du, L.L.; Yang, F.S.; Zhang, R.J.; Wei, H.; Wang, G.; Hao, Z. Study on the effect of SDBS and SDS on deep coal seam water injection. Sci. Total Environ. 2023, 856, 158930. [Google Scholar] [CrossRef] [PubMed]
  10. Wei, J.P.; Jiang, W.; Si, L.L.; Xu, X.Y.; Wen, Z.W. Experimental research of the surfactant effect on seepage law in coal seam water injection. J. Nat. Gas Sci. Eng. 2022, 103, 104612. [Google Scholar] [CrossRef]
  11. Wang, G.; Wang, E.M.; Huang, Q.M.; Li, S.P. Effects of cationic and anionic surfactants on long flame coal seam water injection. Fuel 2022, 309, 122233. [Google Scholar] [CrossRef]
  12. Xu, L.M.; Lu, K.X.; Li, Y.J.; Li, Y.W.; Pan, Y.S.; Wei, H.; Li, N.; Yang, F.S.; Lv, X.F. Study on the infiltration mechanism of injecting chelating agent into deep low permeable coal seam. Fuel 2022, 310, 122164. [Google Scholar] [CrossRef]
  13. Jiang, H.B.; Xiao, Y.L.; Zhao, W. Study on the wetting property of a novel surfactant solution on coal dust. J. Saf. Sci. Technol. 2013, 9, 11–15. [Google Scholar] [CrossRef]
  14. Xu, L.M.; Pan, Y.S.; Lv, X.F. Experimental research on increasing effect of water injection in coal seam with chelating agent. Energy Sources Part A Recovery Util. Environ. Eff. 2021, 1–11. [Google Scholar] [CrossRef]
  15. Zhang, Q.T.; Xing, X.Y.; Zhou, G.; Hu, Y.Y.; Shang, S.C.; Fu, M.M.; Ma, H.; Li, H.F.; Men, Y.Q. Preparation and micro-wetting mechanism analysis of highly permeable-moistening additive for coal seam water injection based on plant extraction technology. Fuel 2022, 322, 124125. [Google Scholar] [CrossRef]
  16. Qi, Y.G.; Zang, F.N.; Liu, B.; Meng, S.-Z.; Zhu, H.-Y.; Du, J.-Y.; Mo, R.-H. Calculation on discharge flow of pulverized coal in gas production channel for coalbed methane well. J. China Coal Soc. 2013, 38, 1627–1633. [Google Scholar] [CrossRef]
  17. Wang, G.; Wang, Q.N.; Li, H.X.; Yan, S.; Huang, T.Y.; Liu, X.L. Experimental study on the optimized anion fracturing fluid for improving coal samples permeability. Energy Sources Part A Recovery Util. Environ. Eff. 2021, 1–15. [Google Scholar] [CrossRef]
  18. Wang, G.; Li, Y.Q.; Wang, E.M.; Huang, Q.M.; Wang, S.B.; Li, H.X. Experimental study on preparation of nanoparticle-surfactant nanofluids and their effects on coal surface wettability. Int. J. Min. Sci. Technol. 2022, 32, 387–397. [Google Scholar] [CrossRef]
  19. Wei, Y.C.; Cui, M.L.; Zang, J.; Meng, T.; Yao, Z. Aggregation and sedimentation experiments of coal fines with different particle sizes during CBM development. Coal Geol. Explor. 2020, 48, 40–47. [Google Scholar] [CrossRef]
  20. Huang, Q.M.; Liu, S.M.; Cheng, W.M.; Wang, G. Fracture permeability damage and recovery behaviors with fracturing fluid treatment of coal: An experimental study. Fuel 2020, 282, 118809. [Google Scholar] [CrossRef]
  21. Wang, Z.W.; Liu, S.M.; Qin, Y. Coal wettability in coalbed methane production: A critical review. Fuel 2021, 303, 121277. [Google Scholar] [CrossRef]
  22. Zou, Y.S.; Zhang, S.C.; Zhang, J.; Wang, X.; Lu, H.B. Damage mechanism of coal powder on fracture conductivity. J. China Coal Soc. 2012, 37, 1890–1894. [Google Scholar] [CrossRef]
  23. Liu, Y.; Zang, S.A.; CAO, L.H.; Meng, S.Z.; Zhang, T.L. Rules of coal powder migration and deposition in the proppant fracture. J. China Coal Soc. 2014, 39, 1333–1337. [Google Scholar] [CrossRef]
  24. Zou, Y.S.; Zhang, S.C.; Zhang, J. Experimental Method to Simulate Coal Fines Migration and Coal Fines Aggregation Prevention in the Hydraulic Fracture. Transp. Porous Media 2014, 101, 17–34. [Google Scholar] [CrossRef]
  25. Hu, S.Y.; Hao, Y.X.; Chen, Y.B.; Feng, G.R.; Li, G.F.; Zhang, X.T. Dynamic influence law of coal powder migration and deposition on propped fracture permeability. Coal Sci. Technol. 2021, 46, 1288–1296. [Google Scholar] [CrossRef]
  26. Zhao, Z.; Ni, X.M.; Liu, Z.D.; Wu, X. Experimental study on the attenuation characteristics of coal fissure induced by gas-water two-phase drive. Coal Sci. Technol. 2020, 45, 3853–3863. [Google Scholar] [CrossRef]
  27. Shi, J.T.; Wu, J.Y.; Fang, Y.X.; Lu, J.G.; Hou, C.H.; Li, X.F.; Zhang, S.A.; Xiong, X.Y. A new coal reservoir permeability model considering the influence of pulverized coal blockage and its application. Nat. Gas Ind. B 2021, 8, 67–78. [Google Scholar] [CrossRef]
  28. Zhao, T.T.; Xu, H.; Tang, D.Z.; Zong, P. The theoretical basis of model building for coal reservoir permeability: A review and improvement. J. Nat. Gas Sci. Eng. 2022, 106, 104744. [Google Scholar] [CrossRef]
  29. Li, H.; Huang, B.X. A new permeability model of fracture containing proppants. J. Nat. Gas Sci. Eng. 2022, 104, 104661. [Google Scholar] [CrossRef]
  30. Dahi-Taleghani, A.; Olson, J.E. Numerical modeling of multistranded-hydraulic-fracture propagation: Accounting for the interaction between induced and natural fractures. SPE J. 2011, 16, 575–581. [Google Scholar] [CrossRef]
  31. Nguyen, P.D.; Dusterhoft, R.G.; Clarkson, B. Control of formation fines to provide long-term conductivity in weak, unconsolidated reser voirs. In Proceedings of the Offshore Technology Conference, Houston, TX, USA, 2–5 May 2005. [Google Scholar]
  32. Lee, K.S.; Ivanova, N.; Starov, V.M.; Hilal, N.; Dutschk, V. Kinetics of wetting and spreading by aqueous surfactant solutions. Adv. Colloid Interface Sci. 2008, 144, 54–65. [Google Scholar] [CrossRef]
  33. Kovalchuk, N.M.; Simmons, M.J.H. Surfactant-mediated wetting and spreading: Recent advances and applications. Curr. Opin. Colloid Interface Sci. 2021, 51, 101375. [Google Scholar] [CrossRef]
  34. Li, S.; Zhao, B.; Lin, H.; Shuang, H.; Kong, X.; Yang, E. Review and prospects of surfactant-enhanced spray dust suppression: Mechanisms and effectiveness. Process Saf. Environ. Prot. 2021, 154, 410–424. [Google Scholar] [CrossRef]
  35. Xu, C.; Wang, D.; Wang, H.; Ma, L.; Zhu, X.; Zhu, Y.; Zhang, Y.; Liu, F. Experimental investigation of coal dust wetting ability of anionic surfactants with different structures. Process Saf. Environ. Prot. 2019, 121, 69–76. [Google Scholar] [CrossRef]
  36. Kilau, H.W. The Influence of Sulfate Ion on the Coal-Wetting Performance of Anionic Surfactants; US Department of the Interior, Bureau of Mines: Washington, DC, USA, 1990.
  37. Li, J.; Zhou, F.; Liu, H. The selection and application of a compound wetting agent to the coal seam water infusion for dust control. Int. J. Coal Prep. Util. 2016, 36, 192–206. [Google Scholar] [CrossRef]
  38. Torkzaban, S.; Bradford, S.A.; Vanderzalm, J.L.; Patterson, B.M.; Harris, B.; Prommer, H. Colloid release and clogging in porous media: Effects of solution ionic strength and flow velocity. J. Contam. Hydrol. 2015, 181, 161–171. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Doroshchuk, V.A.; Kulichenko, S.A. Preconcentration of Cadmium with OP-10Nonionic Surfactant Phases at the Cloud Point. J. Anal. Chem. 2005, 60, 400–403. [Google Scholar] [CrossRef]
  40. Liu, Y.; Su, X.; Zhang, S. Influencing characteristics and control of coal powder to proppant fracture conductivity. J. China Coal Soc. 2017, 42, 687–693. [Google Scholar] [CrossRef]
  41. Kozeny, J. Ueber kapillare Leitung des Wassers im Boden. Sitzungsberichte Der Akad. Der Wiss. Wien 1927, 136, 271–306. [Google Scholar]
  42. Carman, P.C. Permeability of saturated sands, soils and clays. J. Agric. Sci. 1939, 29, 263–273. [Google Scholar] [CrossRef]
Figure 1. Experimental flow chart.
Figure 1. Experimental flow chart.
Processes 11 02074 g001
Figure 2. Pressure versus time curves of water injected at different flow rates.
Figure 2. Pressure versus time curves of water injected at different flow rates.
Processes 11 02074 g002
Figure 3. Pressure–time curves and pressure growth rates for the injection of 1% SDS at different flow rates. (a) Pressure curves at different flow rates; (b) Pressure growth rate.
Figure 3. Pressure–time curves and pressure growth rates for the injection of 1% SDS at different flow rates. (a) Pressure curves at different flow rates; (b) Pressure growth rate.
Processes 11 02074 g003
Figure 4. Pressure–time curves and pressure growth rates for the injection of 1% 1227 at different flow rates. (a) Pressure curves at different flow rates; (b) Pressure growth rate.
Figure 4. Pressure–time curves and pressure growth rates for the injection of 1% 1227 at different flow rates. (a) Pressure curves at different flow rates; (b) Pressure growth rate.
Processes 11 02074 g004
Figure 5. Pressure–time curves and pressure growth rates for the injection of 1% TX-100 at different flow rates. (a) Pressure curves at different flow rates; (b) Pressure growth rate.
Figure 5. Pressure–time curves and pressure growth rates for the injection of 1% TX-100 at different flow rates. (a) Pressure curves at different flow rates; (b) Pressure growth rate.
Processes 11 02074 g005
Figure 6. Two kinds of blocking diagram. (a) Bridge blockage; (b) Bubble embolization.
Figure 6. Two kinds of blocking diagram. (a) Bridge blockage; (b) Bubble embolization.
Processes 11 02074 g006
Figure 7. Binarization of original image. (a) Original image; (b) Binarized image.
Figure 7. Binarization of original image. (a) Original image; (b) Binarized image.
Processes 11 02074 g007
Figure 8. Ratios of pulverized coal in the different solutions injected at 4 mL/min.
Figure 8. Ratios of pulverized coal in the different solutions injected at 4 mL/min.
Processes 11 02074 g008
Figure 9. Ratios of pulverized coal in the different solutions injected at 7 mL/min.
Figure 9. Ratios of pulverized coal in the different solutions injected at 7 mL/min.
Processes 11 02074 g009
Figure 10. Ratios of pulverized coal in the different solutions injected at 10 mL/min.
Figure 10. Ratios of pulverized coal in the different solutions injected at 10 mL/min.
Processes 11 02074 g010
Figure 11. Ratios of pulverized coal in solutions of different surfactants at different injection flow rates. (a) The proportion of pulverized coal in deionized water. (b) The proportion of pulverized coal in 1% 1227. (c) The proportion of pulverized coal in 1% SDS. (d) The proportion of pulverized coal in 1% TX-100.
Figure 11. Ratios of pulverized coal in solutions of different surfactants at different injection flow rates. (a) The proportion of pulverized coal in deionized water. (b) The proportion of pulverized coal in 1% 1227. (c) The proportion of pulverized coal in 1% SDS. (d) The proportion of pulverized coal in 1% TX-100.
Processes 11 02074 g011aProcesses 11 02074 g011b
Figure 12. Capillary bundle unit.
Figure 12. Capillary bundle unit.
Processes 11 02074 g012
Figure 13. Comparison of theoretical and measured injection pressures. (a) Pressure of deionized water. (b) Pressure of 1% 1227. (c) Pressure of 1% SDS. (d) Pressure of 1% TX-100.
Figure 13. Comparison of theoretical and measured injection pressures. (a) Pressure of deionized water. (b) Pressure of 1% 1227. (c) Pressure of 1% SDS. (d) Pressure of 1% TX-100.
Processes 11 02074 g013
Table 1. Information on surfactants.
Table 1. Information on surfactants.
English SynonymFormulaCAS No.ManufacturerPurityMolecular Weight
SDSC12H25SO4Na151-21-3Shanghai Macklin Biochemical Co., Ltd., Shanghai, ChinaAR, 92.5–100.5%288.38
1227C21H38ClN139-07-1Shanghai Macklin Biochemical Co., Ltd., Shanghai, ChinaAR, 99%339.99
TX-100C34H62O119002-93-1Beijing Solarbio Science & Technology Co., Ltd., Beijing, China>98%647
Table 2. Surface tension coefficient of surfactant.
Table 2. Surface tension coefficient of surfactant.
wt%0.10.250.50.751
Surface tension of 1% SDS solution/mN·m−140.9834.1233.6632.5832.49
Surface tension of 1% 1227 solution/mN·m−132.0131.6431.9631.9631.78
Surface tension of 1% TX-100 solution/mN·m−139.3536.8536.636.6536.6
Table 3. Visual propped fracture experimental design.
Table 3. Visual propped fracture experimental design.
No.FluidCoal Powder (g)Particle Size of Proppant (Mesh)Particle Size of Coal Powder (Mesh)Flow Rate (mL/min)Time (min)
1water0.216–20>120440
2water0.216–20>120740
3water0.216–20>1201040
41% SDS0.216–20>120440
51% SDS0.216–20>120740
61% SDS0.216–20>1201040
71% 12270.216–20>120440
81% 12270.216–20>120740
91% 12270.216–20>1201040
101% TX-1000.216–20>120440
111% TX-1000.216–20>120740
121% TX-1000.216–20>1201040
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Zhu, Q.; Yin, L.; Huang, Q.; Wang, E.; Hou, Z. Experimental Study on Migration and Intrusion Characteristics of Pulverized Coal in Propped Fractures. Processes 2023, 11, 2074. https://doi.org/10.3390/pr11072074

AMA Style

Zhu Q, Yin L, Huang Q, Wang E, Hou Z. Experimental Study on Migration and Intrusion Characteristics of Pulverized Coal in Propped Fractures. Processes. 2023; 11(7):2074. https://doi.org/10.3390/pr11072074

Chicago/Turabian Style

Zhu, Qingao, Liming Yin, Qiming Huang, Enmao Wang, and Zhiguo Hou. 2023. "Experimental Study on Migration and Intrusion Characteristics of Pulverized Coal in Propped Fractures" Processes 11, no. 7: 2074. https://doi.org/10.3390/pr11072074

APA Style

Zhu, Q., Yin, L., Huang, Q., Wang, E., & Hou, Z. (2023). Experimental Study on Migration and Intrusion Characteristics of Pulverized Coal in Propped Fractures. Processes, 11(7), 2074. https://doi.org/10.3390/pr11072074

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop