Numerical simulation of hydraulic fracturing in transversely isotropic rock masses based on PFC2D
Lei Xia^{1} , Yawu Zeng^{2}
^{1, 2}School of Civil Engineering, Wuhan University, Wuhan, 430072, China
^{2}Corresponding author
Journal of Vibroengineering, Vol. 21, Issue 4, 2019, p. 833847.
https://doi.org/10.21595/jve.2018.19962
Received 10 May 2018; received in revised form 4 November 2018; accepted 15 November 2018; published 30 June 2019
Special Issue on Nonlinearity and Numerical Simulation Applications in Geotechnical Engineering
In order to make a better understanding of the hydraulic fracturing in transversely isotropic rock masses, the modified particle flow modeling method was used by embedding the smooth joint models within an area of certain thickness, and the optimized fluidmechanical coupling mechanism was applied in hydraulic fracturing modeling. On this basis, the influence of the injection rates, insitu stress ratios and inclination angles of the bedding planes on the breakdown pressure and propagation of the hydraulic fractures was analyzed. The simulation indicated that: 1) Excessive small or large injection rates would lead to the increase of the breakdown pressure of the hydraulic fractures. 2) Under different inclination angles of the bedding planes, the crack breakdown pressure increased linearly with the increasing of the insitu stress ratios. And under conditions of different insitu stress ratios, the crack breakdown pressure changed as a ‘wave’ type with the increasing inclination angles of bedding planes. 3) Both the insitu stress ratios and the inclination angle of bedding planes affected the propagation of the hydraulic fractures. The existence of the bedding planes would induce the hydraulic fractures to propagate along the bedding planes. The large inclinations of the bedding planes would cause the hydraulic fractures to keep propagating with the direction of maximum principal stress.
 The optimized particle flow modeling method was used to simulate the hydraulic fracturing.
 The crack breakdown pressure changed as a wave type with different inclination angels.
 Bedding planes would induce the hydraulic fractures to propagate along the bedding planes.
Keywords: transversely isotropic rock masses, hydraulic fracturing, fluidmechanical coupling, particle flow code, breakdown pressure, crack propagation.
1. Introduction
In recent years, with the success of the shale gas revolution in the United States, the unconventional oil and gas resources have been developed efficiently and economically. This is due to the fact of the rapid development of the horizontal drilling and multistage hydraulic fracturing. Through the horizontal drilling and multistage hydraulic fracturing, complex fracture networks can be formed in lowporosity and lowpermeability rock formations, such as the shale reservoirs. And the volume of reconstruction can be increased to improve the exploitation efficiency of the reservoir. However, due to the complexity of the rock mass and the invisibility of the reservoir, the fracture and propagation process cannot be monitored directly in actual engineering projects. In order to apply the hydraulic fracturing techniques better, the process of the hydraulic fracturing is needed to be studied in detail. Based on these, many researchers have conducted indepth studies on the fluiddriven fracturing processes, including the interaction between natural fractures and hydraulic fractures. Lichu Jia [1], Yush Zou [2] used the Xray computer tomography technology to scan the rock samples before and after fracturing to observe the hydraulic fractures and to study the interaction between the hydraulic and natural fractures during the propagation process. Sergey Stanchits et al. [3] used acoustic emission technology to monitor the fracture position during the fracturing process, and obtain the relationship between the hydraulic fractures and the natural fractures under the different injection rate and fluid dynamic viscosity. Shuai Heng et al. [4] conducted a series of true triaxial hydraulic fracturing tests with shale. The influence of the bedding planes on the propagation of hydraulic fractures was studied based on the instability propagation criterion of tensile fractures. Due to the disadvantages of the high cost and complicated operation of experimental tests, more researchers preferred to use numerical simulation method to study the initiation and propagation of the hydraulic fractures in natural fractured rock masses. McClure [5] used twodimensional displacement discontinuous method (DDM) to study the propagation of hydraulic fractures in rock reservoirs with natural discrete fracture networks. Kresse et al. [6] introduced threedimensional correction factor to compensate for the effect of fracture height in 2DDDM, and to establish a complex hydraulic fracture network model (HFN) to study the stress shadow effect. Hanyi Wang [7] established a fully coupled nonplanar hydraulic propagation model using the XFEM (Extended Finite Element Method) to study the initiation and propagation of hydraulic fractures in brittle and ductile rock masses. Qingdong Zeng et al. [8] established a multicrack synchronous propagation mathematical model, and conducted numerical simulations in horizontal wells based on XFEM. Zuorong Chen et al. [9] used the cohesivezone crack tip model to replace the stress intensity model, simulating the propagation of hydraulic fractures in ABAQUS. Yu Wang et al. [10] applied RFPAFlow calculation software to analyze the stress shadow in hydraulic fracturing under different analytical factors, such as well spacing, insitu horizontal stress difference coefficient and rock heterogeneity. Chengzeng Yan [1113] proposed a theoretical framework for the fluidmechanical coupling with FDEM (FiniteDiscrete element Method). Combined with the recursive search algorithm for the formation of fractured network, it provided a new approach for simulating the hydraulic fracturing problems in lowpermeability rock masses.
As one of the most rapidly developing areas of computational mechanics, the discrete element method (DEM) in particulate and blocky systems has undergone a significant development in the past decades. As a discrete element approach, the major advantage of BPM (Bondedparticle Model) is that complex empirical constitutive behavior can be replaced by simple particle contact logic [14]. Moreover, the cracks which are simulated by the DEM are formed by the interpenetrating of many microcracks, and the crack propagation has better randomness. Compared with the finite element method, the discrete element models do not need to preset the cells with where the fracture would happen during the loading process. The microcracks can be formed spontaneously according to the mutual transfer of force and displacement between particles. Thus, the DEM can simulate the crack initiation, propagation and penetration more realistically. The particle discrete element method, which is a distinct elementbased model [15], has been widely used in rock fracture research [14, 1617] and hydraulic fracturing [1825]. Since unconventional oil and gas reservoirs, such as shale, have the distinct layered structure, the bedding planes will affect the initiation and propagation of the hydraulic fractures. In this paper, the numerical model of transversely isotropic rock masses was built by embedding smooth joint models (SJM). And based on the mechanism of the fluidmechanical coupling in PFC, the crack initiation and propagation of hydraulic fractures in transversely isotropic rock masses were studied.
2. Mechanism of fluidmechanical coupling in PFC
2.1. Basic assumptions
The mechanism of fluidmechanical coupling is mainly based on the two basic assumptions [26]:
(1) It is assumed that the percolation path was along the parallel plate channels located at the contacts between the particles. This channel is called the ‘pipe’, as shown in Fig. 1 by the black line (The yellow circle in the figure indicates the solid particle and the white line indicate the contact between the particles).
(2) There is a unit in the model that can store fluid pressure, which is called the ‘domain’, as shown in Fig. 1. The closed polygon element surrounded by white segments is the domain and the green circle indicates the center. The adjacent domains are connected by the pipes. The fluid pressure in the domain exerts fluid traction force on the enclosing particles as shown by the arrows in the domains.
Fig. 1. PFC model for mechanism of fluidmechanical coupling
2.2. Calculating theories
(1) Changes of the liquid flow in the domain.
The different liquid pressures contained in the adjacent domains will induce the seepage of the liquid flow in the two domains, and the exchanging channel is the pipe located at the contact between the particles. The seepage discharge q between the adjacent domains is determined by the hydraulic aperture $a$, the fluid pressure in the adjacent domains (${P}_{1}$, ${P}_{2}$) and the fluid dynamic viscosity $\mu $. The relationship between them is the Cubic law [28] as shown in Eq. (1):
(2) Hydraulic aperture.
It can be seen in Eq. (1) that the change of the liquid flow in the domains is mainly determined by the hydraulic aperture $a$. In the numerical models, the hydraulic aperture is set as a function related to the contact force between the particles [27]:
In which the ${\sigma}_{n}$ represents the effective normal stress at the contact (units in MPa). When ${\sigma}_{n}$ tends to infinity, the hydraulic aperture decreases asymptotically to infinite hydraulic aperture ${a}_{inf}$. And ${a}_{0}$ is the residue aperture when ${\sigma}_{n}$ equals to zero.
(3) Fluid traction force
The fluid pressure in the domain exerts fluid traction force on the enclosing particles, which will affect the normal contact force ${\sigma}_{n}$. The vector of the fluid traction force on a typical particle is:
where $P$ is the fluid pressure in the domain, ${n}_{i}$ is the unit normal vector joining the two contact points on the particle, and $s$ is the length of the line.
(4) Fluid pressure in the domain.
During the fluid flow calculation, the increment of fluid pressure ($\u2206P$) in a reservoir domain is computed from the bulk modulus of fluid (${K}_{f}$), the volume of the domain (${V}_{d}$), the sum of the flow volume for one time step ($\u2206t$) and the volume change of the domain due to mechanical loading. The equation used is given by:
2.3. Fluidmechanical coupling
According to the above theories of fluid calculation, the traction force $F$ affects the contact force between the particles, while the $F$ is mainly determined by the fluid pressure $P$ in the domain. The change of the fluid pressure has a deep relationship with the seepage of the liquid flow. The rate of the seepage of the liquid flow is controlled by hydraulic aperture of the pipe. Finally, the hydraulic aperture is affected by the normal force at the contact point. Thus, there are three forms of the coupling between particles and fluid domains as below:
(1) The hydraulic pressure in the domain acts on the surrounding particles as the form of traction force, which will affect the contact force between the particles.
(2) The size of the hydraulic aperture is affected by the opening and closing of the contacts, which is determined by the contact force between the particles.
(3) The force on the contact between the particles can change the volume of the domain, causing the change of the liquid pressure in the domains.
In summary, the mechanism of fluidmechanical coupling in PFC can be shown in the flowchart in below:
Fig. 2. Flowchart of PFC mechanism of fluidmechanical coupling
2.4. Modification of the algorithm
In order to make the numerical model closer to the actual situation, two modifications were made in the fluidmechanical coupling based on the above calculation theories.
(1) In the actual hydraulic fracturing process, the seepage of the fluid will produce a lubricating effect with the surface of the fractures after cracking, which would weaken the frictional effect. Therefore, in this numerical model, the friction coefficient of the two particles at the contact in which the bond was broken down was set to zero [28].
(2) When a micro crack was formed since the bond of the contact was broken down, the hydraulic aperture of the pipe will be almost infinite, which will cause instability of the numerical model in the following fluidmechanical coupling calculations. The simulation of fluid flow in these two domains connected by the failed bond plays an important role in hydraulic fracturing in PFC. Thus, the hydraulic pressure of the two adjacent domains connected by the failed bond were set to be equal, and both were equal to the larger value between the two domains. In this way, the infinite permeability could be ensured, so as to avoid the excessively large hydraulic aperture, resulting in a high rate of fluid flow exchange and shortening the time step to ensure the stability of the numerical model.
3. Establishment and verification of the numerical models
3.1. Establishment and verification of transversely isotropic rock masses model
In this paper, a set of parallel smooth joint models (SJM) were embedded into the bondedparticle model (BPM) to simulate the mechanical properties of the transversely isotropic rock masses. At the same time, in order to better simulate the mechanical properties of the transversely isotropic rock masses, the bedding planes were simulated by embedding SJM within an area of certain thickness [29], as shown in Fig. 3. According to the experience in the research of Lei Xia [29], the thickness $d$ of the bedding planes area was taken as the diameter of the minimum particle, as shown in the Fig. 3.
Fig. 3. Numerical model of transversely isotropic rock masses [29]
The macromechanical parameters of the Boryedong shale [30, 31] were taken as an example to build the uniaxial compression test specimens with the size of 50×100 mm. The minimum particle diameter was set as 0.6 mm, with the particle diameter ratio of 1.66. The particle size conformed to the Gaussian distribution, and the porosity of the model was taken as 0.16. A total of 5312 particles were generated in a single specimen and the microscopic parameters of the intact rock and smooth joints were shown in Table 1 and Table 2, respectively.
Table 1. Microscopic parameters of intact rock
Ball parameters  Parallel bond parameters  
Ball density [kg/m^{3}]  2700  Modulus$\stackrel{}{{E}_{c}}$ [GPa]  39.0 
Modulus ${E}_{c}$ [GPa]  39.0  Stiffness ratio $\stackrel{}{{k}_{n}}$/$\stackrel{}{{k}_{s}}$  3.33 
Stiffness ratio ${k}_{n}$/${k}_{s}$  3.33  Mean/SD normal strength [MPa]  95/9.5 
Friction coefficient $\mu $  0.8  Mean/SD shear strength [MPa]  95/9.5 
Note*: (SD: standard deviation) 
Table 2. Microscopic parameters of smooth joint
Normal stiffness ${k}_{n,sj}$ [GPa/m]  Shear stiffness ${k}_{s,sj}$ [GPa/m]  Friction coefficient ${\mu}_{sj}$  Normal strength ${\sigma}_{n,sj}$ [MPa]  Cohesion ${C}_{sj}$ [MPa]  Thickness $d$ [mm] 
1200  700  0.4  25  25  0.6 
The comparison of the elastic modulus and uniaxial peak strength for specimens with different inclination angles of bedding planes between experimental and numerical results were shown in Fig. 4 and Table 3. It can be seen that both the elastic modulus and uniaxial peak strength of numerical results can be in good agreement with the experimental results under the above numerical modeling method and microscopic parameters.
Fig. 4. Comparison between the experimental and numerical results: a) the elastic modulus, b) the uniaxial compressive strength
a)
b)
Table 3. Comparison between the experimental and numerical result [30]
Macroproperty  Inclined angle  
0°  15°  30°  45°  60°  75°  90°  
Lab  Elastic modulus [GPa]  23.8  18.6  19.6  27.4  31.7  32.5  42.1 
UCS [MPa]  89.2  91.0  83.4  64.8  53.5  96.6  126.2  
DEM  Elastic modulus [GPa]  22.68  20.79  18.50  21.06  27.18  35.53  42.14 
UCS [MPa]  86.85  79.74  49.08  49.23  52.95  82.66  127.36 
Meanwhile, the failure patterns of transversely isotropic rock masses from numerical models and laboratory experiments [30] with different inclination angles were compared in Fig. 5. The failure patterns in numerical models show an excellent agreement with the experimental results. For low inclination angle specimen (Inclination angle $\theta =$ 0° and 15°), the failure was mainly occurred in the intact rock and the microcracks went through the bedding planes to form the macrocrack parallel to the direction of loading. When $\theta =$ 30°75°, the failure was mainly occurred along the bedding planes. The specimens damaged by the shear slip failure along some certain bedding planes. When $\theta =$ 90°, due to no lateral confinement under uniaxial loading, the delamination failure occurred. The microcracks exist in both intact rock and bedding planes.
According to the comparison of macroproperty and failure patterns of numerical simulation with experiments, the rationality of the numerical model had been verified.
Fig. 5. Failure patterns of different inclination specimen: a) experimental results, b) numerical simulation results (the red color is the microcrack, the black color is the bedding plane)
a)
b)
3.2. Establishment and verification of hydraulic fracturing model
From the theory of the classical equations for stress concentration round a circular elastic borehole, which have been proposed by Hubbert [31], the breakdown pressure ${P}_{f}$ could be obtained as following expression:
where the ${\sigma}_{H}$, ${\sigma}_{h}$ are the maximum and minimum principal stresses, ${P}_{p}$ is the pore pressure, $\alpha $ is the effective stress coefficient and ${S}_{t}$ is the rock tensile strength.
In this paper, the size of the hydraulic fracturing numerical model was 1 m×1 m. In order to take account of the computing time, the minimum particle diameter of the numerical model was 6.0 mm, which made 18394 particles in a single specimen totally. The numerical example of hydraulic fracturing model for a special inclination of bedding planes was shown in Fig. 6. An injection hole was set in the center of the specimen, with a diameter of 15 mm. The space of the bedding planes was 70 mm. In the numerical model, the servo control system was established through the FISH codes to obtain different confining pressure, simulating different initial stress conditions.
Fig. 6. Numerical model of hydraulic fracturing
At the same time, in order to better simulate the low tensile strength of the rock mass, the above microscopic strength parameters were set to relatively smaller values (${\sigma}_{n}=\tau =$ 25 MPa, ${\sigma}_{n,sj}={C}_{sj}=$ 7 MPa). The remaining microscopic parameters of BPM and SJM were the same as Table 1 and Table 2. With references of the previous research [2125], the microscopic parameters in the fluid calculation were shown in Table 4.
Table 4. Computational parameters for fluid
Parameters  Unit  Values 
Initial hydraulic aperture  ${a}_{0}$ [m]  2.2×10^{6} 
Infinite hydraulic aperture  ${a}_{inf}$ [m]  2.2×10^{5} 
Fluid dynamic viscosity  $\mu $ [Pa·s]  1.0×10^{3} 
Bulk modulus of the fracturing fluid  ${K}_{f}$ [Pa]  1.0×10^{9} 
Injection rate  $R$ [m^{3}·s^{1}]  5.0×10^{5} 
In order to verify the numerical model of hydraulic fracturing, hydraulic fracturing tests were carried out under different initial insitu stresses. The inclination angle of the bedding planes was remained to 0°. The maximum principal stress ${\sigma}_{H}$ was kept unchanged (${\sigma}_{H}=$ 10 MPa), changing ${\sigma}_{h}$ to obtain different insitu stress conditions. The fluid pressure history at the injection borehole during hydraulic fracturing simulation under different insitu stress conditions was shown in Fig. 7.
Fig. 7. The fluid pressure history at the injection borehole under different insitu stress conditions: a) ${\sigma}_{h}=$ 5 MPa, b) ${\sigma}_{h}=$ 6 MPa, c) ${\sigma}_{h}=$ 7 MPa, d) ${\sigma}_{h}=$ 8 MPa, e) ${\sigma}_{h}=$ 9 MPa, f) ${\sigma}_{h}=$ 10 MPa
a)
b)
c)
d)
e)
f)
As it can be seen from Fig. 7, the fluid pressure curves at the injection borehole were roughly similar to the ideal curve under different insitu stress condition [32]. The rock mass around the borehole was broken because of the increasing injection pressure. And when the breakdown occurred, the flow volume would be lost, making the fluid pressure dropped steeply. The peak fluid pressure represented the crack breakdown condition. This implied a situation of unstable crack development, and the fluid entered the voids of cracks. Continued pumping would eventually result in stable crack growth, represented by the constant borehole fluid pressure level.
At the same time, as shown in Fig. 8, the crack breakdown pressure under different insitu stress conditions from the numerical results were compared with Eq. (5). The numerical results showed that the breakdown pressure increased linearly with the increasing of the insitu stress ratio, which was the same trend as the theoretical result of Eq. (5). These could prove the rationality of the mechanism of fluidmechanical coupling in PFC.
Fig. 8. Breakdown pressures obtained from numerical modeling and theoretical calculation based on Eq. (5) at different insitu stress ratios
4. Numerical experiments
Based on the above numerical models, a series of hydraulic fracturing tests were conducted to study the influence of injection rates and insitu stress ratios (the ratio of the maximum principle stress to the minimum one) on the initiation and propagation of the hydraulic fractures.
4.1. The influence of fluid injection rate
The fluid injection rate is a human controlled factor. To investigate the influence of injection rates on hydraulic fracturing characteristics, this paper utilized six different injection rates with unchanged fluid viscosity and insitu stress condition. The insitu stress condition was that ${\sigma}_{H}=$ 10 MPa, ${\sigma}_{h}=$ 5 MPa. And the numerical specimen with the bedding planes of 45° inclination angle was taken for the hydraulic fracturing tests.
The fluid pressure history at the injection borehole during hydraulic fracturing simulation under different injection rates was shown in Fig. 9. And it showed that the crack breakdown pressure would increase once the injection rate was extremely small (1.0×10^{6} m^{3}/s) or large (1.0×10^{3} m^{3}/s), at which the crack breakdown pressure was 36.993 MPa and 38.159 MPa, respectively. As we know, faster fluid injection implied a higher strength similar to compressive tests of rock specimens applied with dynamic loads in the laboratory. Because stress in the solid skeleton induced by the injection borehole could not immediately adjust, higher fluid injection rate would lead to larger breakdown pressure in hydraulic fracturing [22]. What is more, when the injection rate reached to a large value (such as 5.0×10^{4} m^{3}/s, shown in Fig. 9(e)), the fluid pressure in the borehole would not drop steeply after peak pressure. And a relatively high fluid pressure could be maintained to ensure stable crack growth.
Slower injection rate would make the injection time longer. Although the permeability of the reservoir rocks was extremely low in the numerical models, longterm injection would also cause sufficient time for the ‘fluid’ in the injection borehole to penetrate into the surrounding fluid domains. This allows the surrounding fluid domains to contain a certain hydraulic pressure, which would lead to increase the hydraulic crack breakdown pressure.
From an engineering perspective, excessively longterm injection severely affected the progress of the fracturing operations, and it also required a corresponding reduction in the pumping pressure of the injection. This may not achieve the desired purpose of hydraulic fracturing. On the other hand, with the excessively fast injection rate, crack initiation and propagation along multiple orientations were easily formed around the injection borehole [22]. Meanwhile, excessively fast injection rate would cause the situation that the original cracks were not widened and grown yet while the new crack initiation. This meant that the original and new cracks would not be penetrated to form an effective fracture network, which would greatly reduce the fracturing benefits.
Fig. 9. The fluid pressure history at the injection borehole under different injection rates: a) $R=$ 1.0×10^{6} m^{3}/s, b) $R=$ 5.0×10^{6} m^{3}/s, c) $R=$ 5.0×10^{5} m^{3}/s, d) $R=$ 1.0×10^{4} m^{3}/s, e) $R=$ 5.0×10^{4} m^{3}/s, f) $R=$ 1.0×10^{3} m^{3}/s
a)
b)
c)
d)
e)
f)
4.2. The influence of insitu stress ratio and inclination of bedding planes
Both the initial insitu stress condition and inclination angle of bedding planes are not human controlled factors. So, this section focused on the influence on the breakdown pressure and the propagation paths of hydraulic fractures. The injection rate was set to 1.0×10^{4} m^{3}/s, and ${\sigma}_{H}=$ 10 MPa was kept constant. Taking six different initial insitu stress condition (${\sigma}_{h}$/${\sigma}_{H}=$ 0.5, 0.6, 0.7, 0.8, 0.9 and 1.0) and seven different inclination angles of bedding planes ($\theta =$ 0, 15, 30, 45, 60, 75 and 90°) into account, a total of 42 hydraulic fracturing tests were conducted.
(1) The influence on the breakdown pressure.
The breakdown pressure of hydraulic fracture under different conditions was shown in Fig. 10. It can be seen that the breakdown pressure in the numerical models increased with the increasing insitu ratio under different inclination angles of bedding planes. This result was the same as the Eq. (5). The change tendency of the initiation pressure with the inclination angles was basically the same in different insitu ratios, which was increasing firstly, then decreasing and finally increasing, as a ‘wave’ type. And the increase extent was also the same with the increasing of insitu ratios. The maximum breakdown pressure was taken when inclination angle $\theta =$ 30°, while the minimum one was at $\theta =$ 75°.
Because of the large spacing between the bedding planes in this research, the injection borehole did not intersect with the bedding planes. Therefore, the crack breakdown pressure was not reduced due to the influence of the intersecting bedding planes. The existence of bedding planes could affect the crack initiation direction around the injection borehole, and then resulted in different crack breakdown pressures.
Fig. 10. The breakdown pressure of hydraulic fracture under different conditions
(2) The influence on the propagation path.
The propagation path of the hydraulic fracture under different conditions was shown in Fig. 11. Due to the space limitation, only the results when $\theta =$ 0° (Fig. 11(a)), 30° (Fig. 11(b)), 60° (Fig. 11(c)) and 90° (Fig. 11(d)) were selected here, under different insitu stress ratios.
Without considering the influence of the bedding planes, the minimum principal stress needed to be overcome, and then the hydraulic fractures will propagate along the direction of the maximum principal stress. As can be seen from the comparison of the different inclination angles of bedding planes, the existence of the bedding planes has a certain influence on the propagation path of the hydraulic fractures.
When the inclination angle was small (as shown in Fig. 11(a) and 11(b)), the propagation direction of the hydraulic fractures was deflected gradually with the increasing of the insitu stress ratio ${\sigma}_{h}$/${\sigma}_{H}$. When inclination angle $\theta =$ 0°, only the relatively high insitu stress condition (${\sigma}_{h}$/${\sigma}_{H}=$ 0.11.0) could induce the deflection of the propagation direction. And the hydraulic fractures would completely follow the direction of the bedding planes. When the inclination angle $\theta =$ 30°, the smaller insitu stress (${\sigma}_{h}$/${\sigma}_{H}=$ 0.6) could induce the change of the propagation direction. And even when ${\sigma}_{h}$/${\sigma}_{H}=$ 0.5, the propagation of the hydraulic fractures was also slightly deflected. However, due to the excessively large different degree of the insitu stress when ${\sigma}_{h}$/${\sigma}_{H}=$ 0.5, the influence of the bedding planes was not large enough to change the eventual propagation, and the hydraulic fractures would still remain its original direction. When $\theta =$ 30°, the direction of the hydraulic fractures was not completely along ${\sigma}_{H}$ when the crack initiated. This caused that the crack breakdown pressure was larger at $\theta =$ 30° than other inclination angles of the bedding planes.
Fig. 11. The propagation path of the hydraulic fracture under different conditions
a) Inclination angle of bedding planes $\theta =$ 0°
b) Inclination angle of bedding planes $\theta =$ 30°
c) Inclination angle of bedding planes $\theta =$ 60°
d) Inclination angle of bedding planes $\theta =$ 90°
However, when the inclination angle $\theta =$ 6090° (as shown in Fig. 11(c) and 11(d)), the propagation direction of the hydraulic fractures hardly deflected with different insitu stress conditions, and keeping propagated along ${\sigma}_{H}$.
5. Conclusions
In this study, the bondedparticle element method with embedded smooth joints was applied to establish the transversely isotropic rock masses. The numerical simulation of hydraulic fracturing of transversely isotropic rock masses was carried out using the optimized fluidmechanical coupling theory. The influence of the injection rate, insitu stress condition and the inclination of the bedding planes on the initiation and propagation of the hydraulic fractures were preliminarily analyzed.
The numerical model of transversely isotropic rock masses was built by assembling the smooth joint models within a specific thickness region, with which the mechanical properties of the transversely isotropic rock masses can be better simulated. The fluid pressure history at the injection borehole during hydraulic fracturing simulation and the breakdown pressure under different insitu stress condition were agree well with theoretical results, proving the rationality of the numerical modeling method of the fluidmechanical coupling.
When injection rate was too large or too small, it would cause the increasing of the hydraulic crack breakdown pressure. When the injection rate was moderate, the crack breakdown pressure would remain at a relatively stable smaller value. The real distribution of joints and trend of bedding planes in the reservoir rocks are more complicated. According to the numerical results, combined with the actual engineering conditions, the most suitable injection rate would be selected to ensure the benefit of hydraulic fracturing.
Under different inclination angle of the bedding planes, the breakdown pressure of the hydraulic fracturing was correspondingly increased with the increasing of insitu stress ratios. While under different insitu ratio conditions, the breakdown pressure was in a change of ‘wave’ type with the increasing of the inclination angle of bedding planes. And the maximum breakdown pressure was at $\theta =$ 30°, while the minimum one was at $\theta =$ 75°. According to this conclusion, the optimal hydraulic fracture site could be selected based on the trend of bedding planes and current insitu stress ratios.
The existence of the different inclination angles had a great impact on the propagation of the hydraulic fractures. The degree of the impact was different under different insitu stress ratios. With the increasing of the insitu ratio and when it trended to 1.0, the influence of the insitu ratio on the crack propagation would be weaker and weaker, and the impact of the bedding planes would induce the hydraulic fractures to propagate in the direction of the bedding planes. The larger of the inclination angles, the more obvious of the deflective effect on the propagation of the hydraulic fractures. And due to the strong influence of the inclination angles, the propagation direction of the hydraulic fractures hardly deflected with different insitu stress conditions, and keeping propagating along ${\sigma}_{H}$. Meanwhile, the formation of the hydraulic fracture network could be reasonably controlled with the impact of different inclination angles on the propagation of the hydraulic fractures.
In this paper, the particle flow numerical model embedding the fluidmechanical coupling mechanism was demonstrated to be a useful and strong tool for understanding hydraulic fracturing behavior. And hydraulic fracturing process should be studied in detail by means of modified particle flow numerical model in the future.
Acknowledgements
This research is supported by funding from the National Natural Science Foundation of China (41272342, 51409013, 41772308).
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