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A theory for foam-driven fracturing

Published online by Cambridge University Press:  29 May 2026

Zhong Zheng*
Affiliation:
State Key Laboratory of Ocean Engineering, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China MOE Key Laboratory of Hydrodynamics, School of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
*
Corresponding author: Zhong Zheng, zzheng@alumni.princeton.edu; zhongzheng@sjtu.edu.cn

Abstract

We provide a theoretical model for foam-driven fracturing of an elastic solid. Based on recent experimental observations, we take into consideration the influence of foam rheology and compressibility. We arrive at a nonlinear non-local system that couples the dynamics of one-dimensional compressible plug flow of foam and elastic deformation of the infinite solid. The model leads to time-dependent solutions for the evolution of the fracture’s profile shape and the pressure distribution in the film of foam. The solutions are affected by a dimensionless control parameter $\varPi _c$, which measures the influence of foam compressibility. An increase in $\varPi _c$ leads to more significant expansion of the gas phase in the fracture, and the spreading of the film of foam is enhanced. Asymptotic efforts were also made in the weakly compressible regime. The profile now admits a linear asymptote $h \propto \chi$ as $\chi \equiv x_f - x \to 0^+$, compared with the standard viscous asymptote $h \propto \chi ^{2/3}$ for hydraulic fracturing using incompressible Newtonian fluids. The pressure singularity now follows $p \propto \mbox{ln}\, \chi$, which is weaker than the standard $p \propto \chi ^{-1/3}$ singularity in the viscous regime. It is also observed that the profile shape and pressure distribution can be rescaled appropriately to collapse onto universal curves at intermediate times, with the length and pressure scales following the $x \propto t^{5/9}$, $h \propto t^{4/9}$ and $p \propto t^{-1/9}$ scaling laws. Using foam as the fracturing fluid may save water in practical applications such as enhanced gas recovery from shale rocks.

Information

Type
JFM Papers
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Foam-driven fracturing of an elastic solid. (a) Typical experimental observations of a foam-driven penny-shaped fracture in a solid gelatine (Lai et al.2018). (b) Schematic of a foam-driven plain-strain fracture in the Cartesian configuration. The profile shape is denoted by $h(x,t)$, and the pressure and density distributions are denoted by $p(x,t)$ and $\rho (x,t)$, respectively. The length and half-width of the injection tube are denoted by $L$ and $a$, respectively. The injection rate of the foam is denoted by $q(t)$, driven by the pressure difference between $p=p_i(t)$ at $y=0$ (the inlet) and $p=p(0,t)$ at $y=L$ (the outlet) of the injection tube.

Figure 1

Table 1. Typical parametric values for the fracturing process of a block of solid gelatine using a Gillette foam as the fracturing fluid in a laboratory experiment (e.g. Lai et al.2018).

Figure 2

Figure 2. Representative numerical solutions of foam-driven fracturing at dimensionless times $\bar t = 400,450,500$, when we impose $\varPi _c = 0.001$. The $\bar p(\bar x, \bar t)$ values ahead of the front represent the normal elastic stress along the axis, while the $\bar \rho (\bar x, \bar t)$ values ahead of the front contain no physical meaning because there exists no fluid. We have imposed $N=200$ space grids on a domain with $\bar L_d = 0.2$ in this simulation; see § A.1. In the bulk region there is reasonable convergence, even though in a narrow region close to the fracture’s tip, the pressure singularity is still under the influence of grid refinement. The density solutions ahead of the fracture’s tip have no physical meaning and are marked with a different colour.

Figure 3

Figure 3. Representative numerical solutions of foam-driven fracturing at dimensionless times $\bar t = 400,450,500$, when we impose $\varPi _c = 0.01$. We have imposed $N=200$ space grids on a domain with $\bar L_d = 1.0$ in this simulation; see § A.1. In the bulk region, there is reasonable convergence, even though in a narrow region close to the fracture’s tip, the pressure singularity is still under the influence of grid refinement. The density solutions ahead of the fracture’s tip have no physical meaning and are marked with a different colour.

Figure 4

Figure 4. The influence of $\varPi _c$ (which measures foam compressibility) on the time evolution of the total volume $\bar V(\bar t)$ of a foam-driven fracture. Here, we include the appropriately rescaled numerical data of the fracture’s volume for the period $\bar t \in [400,500]$ for three values of $\varPi _c$ (i.e. $\varPi _c = 0.001,0.01,0.02$). The solutions $\hat V = \hat t$ and $\hat V = \hat t^{6/5}$ are also included for comparison: an increase in $\varPi _c$ leads to more significant influence of foam compressibility, as it departs more significantly from the linear accumulation law. Specifically, power-law fitting of these numerical data provides $\hat V \sim 1.00\, \hat t^{1.08}$ when $\varPi _c=0.001$, $\hat V \sim 1.00\, \hat t^{1.15}$ when $\varPi _c=0.01$, and $\hat V \sim 1.00\, \hat t^{1.18}$ when $\varPi _c=0.02$. The $R^2$ values are 1.00 for all three fittings.

Figure 5

Figure 5. The profile shape, normalised by its maximum value, near the fracture’s tip in the weakly compressible regime (as $\varPi _c \to 0^+$) from the numerical solutions of the full time-dependent problem. Numerical data are taken from figure 2(a) for $\varPi _c=0.001$ and figure 3(a) for $\varPi _c=0.01$. The theoretical prediction (3.7) (slope 1) is also included for comparison. The slopes $1/2$ (toughness-dominated regime) and $2/3$ (viscosity-dominated regime) are also included, as the standard results of hydraulic fracturing using incompressible Newtonian fluids. The inset indicates that $\bar h/\chi$ indeed approaches a constant moving close to the tip region.

Figure 6

Figure 6. Comparison between the normalised numerical solutions $\bar h(\bar x, \bar t)$ and $\bar p(\bar x, \bar t)$ of the original time-dependent system (2.13a,b), and the self-similar solutions $\mathcal{K}(\xi )$ and $\mathcal{G}(\xi )$ from solving (3.10a,b). The numerical solutions are the appropriated rescaled ones in figure 2 at $\bar t = 400,450,500$ when $\varPi _c = 0.001$. The self-similar solutions from solving (3.10a,b) are included as the dashed curves for comparison. The self-similar solutions of hydraulic fracturing using incompressible Newtonian fluids are included also as square symbols (e.g. Spence & Sharp 1985; Detournay 2004). In the flux condition (3.11a), the pressure at the origin is imposed as a constant $\bar p(0,\bar t) = 0.270$ for this time period based on the numerical data in figure 7(d).

Figure 7

Figure 7. The propagation laws in the weakly compressible and viscosity-dominated regime of foam-driven fracturing. Here, we have provided numerical solutions of the frontal location $\bar x_f(\bar t)$, inlet thickness $\bar h_m(\bar t) = \bar h(0,\bar t)$, maximum pressure $\bar p_m(\bar t) = \bar p(0,\bar t)$, and maximum density $\bar \rho _m(\bar t) = \bar \rho (0,\bar t)$. The numerical solutions are obtained by solving the original system (2.13a,b) for the period $\bar t \in [400,500]$ when $\varPi _c = 0.001$. The scaling results (3.9a–c) are also included for comparison. The insets of (a–c) show that the appropriately rescaled values by their corresponding power-law time dependences become time-independent.

Figure 8

Figure 8. The profile shape near the fracture’s tip at the final time ($t = 173$ s) of the experiment shown in figure 1, as performed by Lai et al. (2018). The theoretical prediction (3.7) (slope 1) is also included for a comparison, now with $\chi \equiv (R_f-R)/R_f$, where $R_f(t)$ denotes the frontal location of the penny-shaped fracture. The slopes $1/2$ (toughness-dominated regime) and $2/3$ (viscosity-dominated regime) are also included, as the standard results of hydraulic fracturing using incompressible Newtonian fluids.

Figure 9

Figure 9. The profile shapes in the experiment of Lai et al. (2018), along with a comparison with the numerical solutions in the viscosity-dominated and weakly compressible regime. Here, the theoretical profile shape is taken from the universal shape in figure 6 and stretched in both the $x$ and $h$ directions for the best match with the experimental profiles.

Figure 10

Figure 10. Calculation of (a) the universal profile shape $\mathcal{K}(\xi )/\mathcal{K}_m$ and (b) the pressure distribution $\mathcal{G}(\xi )/\mathcal{G}_m$ when $\varPi _c=0.001$. Here, we impose $\bar p(0,\bar t) = 0.270$ in the flux condition (A9b) based on the numerical observations in figure 7(d), and we then solve (A8a,b) until $\tau = 5.25$. The solutions are shown at $\tau = 4.50,4.75,5.00,5.25$, and the solutions at the final time $\tau = 5.25$ are what we include in figure 6 for a comparison, shown as the dashed curves. We have imposed $N=800$ space grids on a domain of length $L_d = 0.2$.

Figure 11

Figure 11. Comparison between the time-dependent numerical solutions and the self-similar solutions in terms of series solutions (Spence & Sharp 1985; Detournay 2004) for the standard situation of hydraulic fracturing using incompressible Newtonian fluids at constant injection rates: (a) $\varPi _k = 0$, and (b) $\varPi _k = 10$. Here, we focus on the profile shape and pressure evolution. In the numerical simulations, we have imposed $N = 300$ space grids on a domain of length $L_d = 1.5$ in (a), and $N = 150$ and $L_d = 0.5$ in (b).

Figure 12

Figure 12. Comparison between the time-dependent numerical solutions and the self-similar solutions in terms of series solutions (Spence & Sharp 1985; Detournay 2004) for the standard situation of hydraulic fracturing using incompressible Newtonian fluids at constant injection rates: (a) $\varPi _k = 0$ when $\bar x_f \sim 1.33\, \bar t^{2/3}$, $\bar h_m \sim 1.08\, \bar t^{1/3}$ and $\bar p_m \sim 2.95\, \bar t^{-1/3}$ based on the viscosity-dominated self-similar solutions; and (b) $\varPi _k = 10$ when $\bar x_f \sim 0.32\, \bar t^{2/3}$, $\bar h_m \sim 4.0\, \bar t^{1/3}$ and $\bar p_m \sim 39\, \bar t^{-1/3}$ based on the toughness-dominated self-similar solutions. Here, we focus on the frontal laws. The orange lines correspond to the self-similar solutions, while the symbols correspond to the numerical solutions of the original time-dependent system. In the numerical simulations, we have imposed $N = 300$ space grids on a domain of length $L_d = 1.5$ in (a), and $N = 150$ and $L_d = 0.5$ in (b).

Figure 13

Figure 13. Representative numerical solutions of foam-driven fracturing at dimensionless times $\bar t = 400,450,500$ when we impose $\{\varPi _c, \varPi _k\} = \{0.001,0\}$ (the solid curves) and $\{\varPi _c, \varPi _k\} = \{0.001,0.01\}$ (the dash-dotted curves). We have imposed $N=250$ space grids on a domain with $\bar L_d = 0.2$ in the simulations when $\varPi _k=0.01$ for a sense of numerical error. The $\bar p(\bar x, \bar t)$ values ahead of the front represent the normal elastic stress along the axis, while the $\bar \rho (\bar x, \bar t)$ values ahead of the front contain no physical meaning because there exists no fluid. The density solutions ahead of the fracture’s tip have no physical meaning and are marked with a different colour.

Figure 14

Figure 14. The appropriately rescaled numerical solutions of (a) $\bar h(\bar x, \bar t)$ and (b) $\bar p(\bar x, \bar t)$ based on their maximum values at dimensionless times $\bar t = 400,450,500$ when $\{\varPi _c, \varPi _k\} = \{0.001,0.01\}$, as shown in figure 13. The self-similar solutions in both the viscosity-dominated regime (those in figure 6 when $\{\varPi _c, \varPi _k\} = \{0.001,0\}$) and the toughness-dominated regime (elliptic profile shape + constant pressure) are also included for comparison. QSS indicates quasi-steady state.