Effect of Stress Loading on Permeability of Granite Rough Fissure
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摘要: 本研究选取青海共和盆地干热岩靶区储热层印支期花岗岩为目标层,利用高压流体驱替实验装置开展岩心裂隙渗流-应力耦合下循环加卸载试验,分析应力加载过程对花岗岩粗糙裂隙渗透率影响规律,并通过数值模拟技术分析实验过程中花岗岩裂隙渗透率的演化特征.研究结果表明:(1)应力加载导致裂隙接触面产生变形,是影响裂隙渗流的主要因素,裂隙渗透率与围压呈负相关关系;(2)裂隙渗透率对不同应力加载模式敏感性存在差异;(3)在试验基础上得出数学经验公式,并通过数值模拟分析花岗岩裂隙通道内渗流演化规律,模拟结果同实验拟合较好.Abstract: Selecting Indosinian granite in thermal storage layer of hot dry rock targets in the Gonghe basin, Qinghai Province, as the goal layer, using high pressure fluid displacement experiment device, the core fissure seepage and stress coupling loops and unloading test was carried out in this study. The influence law of stress loading process on granite rough fracture permeability was analyzed, and the evolution characteristics of granite fracture permeability in the experimental process were analyzed by numerical simulation technology. The results show that: (1) stress loading leads to deformation of fracture contact surface, which is the main factor affecting fracture seepage, and fracture permeability is negatively correlated with confining pressure. (2) The sensitivity of fracture permeability to different stress loading modes is different; (3) The mathematical empirical formula is obtained on the basis of the test, and the seepage evolution law in the granite fracture channel is analyzed by numerical simulation. The simulation results fit well with the experiment.
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表 1 花岗岩粗糙单裂隙渗流‒应力耦合实验方案
Table 1. Experimental scheme of seepage and stress coupling in rough single fracture of granite
试样编号 渗透压力(MPa) 初始围压(MPa) 最高围压(MPa) 间隔值(MPa) 循环次数 Y-1 3 5 40 5 3 Y-2 3 5 40 5 1 表 2 加、卸载条件下花岗岩裂隙渗透率测试结果
Table 2. Test results of granite fracture permeability under loading and unloading conditions
围压(MPa) Y-1 Y-2 加载k(m2) 卸载k(m2) ∆k(m2) 加载k(m2) 卸载k(m2) ∆k(m2) 5 1.35 1.21 0.14 2.40 1.04 1.35 10 0.65 0.56 0.08 1.46 0.70 0.76 15 0.48 0.42 0.06 0.67 0.40 0.27 20 0.39 0.36 0.04 0.50 0.36 0.14 25 0.35 0.34 0.01 0.45 0.35 0.10 30 0.27 0.27 0.01 0.38 0.34 0.04 35 0.25 0.25 0.00 0.34 0.33 0.01 40 0.25 0.25 0.00 0.33 0.33 0.00 表 3 Y-1试样3次循环加卸载试验后渗透率变化量
Table 3. Permeability changes of SAMPLE Y-1 after three cycles of loading and unloading tests
循环次数 加载k 卸载k(μm2) ∆k(μm2) 1 1.35 1.21 0.14 2 1.21 0.96 0.25 3 0.96 0.59 0.37 表 4 三维TOUGH2Biot水热过程控制方程
Table 4. Governing equations of fluid and heat flow in 3D TOUGH2Biot
描述 主要控制方程 多相流动过程(H) $ \frac{\mathrm{d}}{\mathrm{d}t}\underset{{V}_{n}}{\int }{M}^{\kappa }\mathrm{d}V=\underset{{\mathit\Gamma }_{n}}{\int }{F}^{\kappa }•n\mathrm{d}\mathit\Gamma +\underset{{V}_{n}}{\int }{q}^{\kappa }\mathrm{d}V $,
左边:$ {M}^{\kappa }=\sum\limits _{\beta =\mathrm{A}, \mathrm{G}}\varphi {S}_{\beta }{\rho }_{\beta }{X}_{\beta }^{\kappa }, \kappa =\mathrm{w}, \mathrm{i}, \mathrm{g} $,
右边:$ {\mathit{F}}_{\beta }^{\kappa }=-k\frac{{k}_{\mathrm{r}\beta }{\rho }_{\mathrm{A}}}{{\mu }_{\beta }}{X}_{\beta }^{\kappa }(\nabla {P}_{\beta }-{\rho }_{\beta }g)+{J}_{\beta }^{\kappa }, \kappa =w, i, g $,热对流传导过程(T) $ \frac{\mathrm{d}}{\mathrm{d}t}\underset{{V}_{n}}{\int }{M}^{\kappa +1}\mathrm{d}V=\underset{{\mathit\Gamma }_{n}}{\int }{F}^{\kappa +1}•n\mathrm{d}\mathit\Gamma +\underset{{V}_{n}}{\int }{q}^{\kappa +1}\mathrm{d}V $,
左边:$ {M}^{\kappa +1}=(1-\varphi){\rho }_{\mathrm{R}}{C}_{\mathrm{R}}T+\sum\limits _{\beta =\mathrm{A}, \mathrm{G}}\varphi {S}_{\beta }{\rho }_{\beta }{u}_{\beta } $,
右边:$ {F}_{}^{\kappa +1}=-\lambda \nabla T+\sum\limits _{\beta }{h}_{\beta }{F}_{\beta } $.注:式中:M为单位体积的质量或能量;t为时间;F为质量或能量通量;Vn为第n个单元的体积;$ {\mathit\Gamma }_{n} $为第n个单元的边界;q为源汇项;$ \phi $为孔隙度;S为饱和度;ρ为密度;X为质量分数;k为渗透率;kr为相对渗透率;μ为黏度;P为压力;g为重力加速度;D为弥散项;ρR为岩石颗粒密度;CR为岩石颗粒比热容;T为温度;u为内能;λ为热传导系数;h为热焓;β=A,G为液相和气相;κ=w, i, g为水、盐和气体;κ+1表示热. 表 5 三维TOUGH2Biot力学模拟拓展
Table 5. 3D TOUGH2Biot mechanical simulation expansion
位移 $ \left.\begin{array}{l}-G{\nabla }^{2}{w}_{x}-\frac{G}{1-2\upsilon }\frac{\partial }{\partial x}(\frac{\partial {w}_{x}}{\partial x}+\frac{\partial {w}_{y}}{\partial y}+\frac{\partial {w}_{z}}{\partial z})+\frac{\partial P}{\partial x}+3\beta K\frac{\partial T}{\partial x}=0, \\ -G{\nabla }^{2}{w}_{y}-\frac{G}{1-2\upsilon }\frac{\partial }{\partial y}(\frac{\partial {w}_{x}}{\partial x}+\frac{\partial {w}_{y}}{\partial y}+\frac{\partial {w}_{z}}{\partial z})+\frac{\partial P}{\partial y}+3\beta K\frac{\partial T}{\partial y}=0, \\ -G{\nabla }^{2}{w}_{z}-\frac{G}{1-2\upsilon }\frac{\partial }{\partial z}(\frac{\partial {w}_{x}}{\partial x}+\frac{\partial {w}_{y}}{\partial y}+\frac{\partial {w}_{z}}{\partial z})+\frac{\partial P}{\partial z}+3\beta K\frac{\partial T}{\partial z}=\gamma .\end{array}\right\} $ 应力应变 $ \left.\begin{array}{l}{\sigma }_{x}^{\mathrm{\text{'}}}={\sigma }_{x}-P=2G(\frac{\upsilon }{1-2\upsilon }{\epsilon }_{v}+{\epsilon }_{x})+3{\beta }_{T}KT, \\ {\sigma }_{y}^{\mathrm{\text{'}}}={\sigma }_{y}-P=2G(\frac{\upsilon }{1-2\upsilon }{\epsilon }_{v}+{\epsilon }_{y})+3{\beta }_{T}KT, \\ {\sigma }_{z}^{\mathrm{\text{'}}}={\sigma }_{z}-P=2G(\frac{\upsilon }{1-2\upsilon }{\epsilon }_{v}+{\epsilon }_{z})+3{\beta }_{T}KT, \\ {\tau }_{yz}^{}=G{\gamma }_{yz}, {\tau }_{zx}^{}=G{\gamma }_{zx}, {\tau }_{xy}^{}=G{\gamma }_{xy}.\end{array}\right\} $ $ \left.\begin{array}{l}{\varepsilon}_{x}=-\frac{\partial {w}_{x}}{\partial x}, {\gamma }_{yz}=-(\frac{\partial {w}_{y}}{\partial z}+\frac{\partial {w}_{z}}{\partial y}), \\ {\varepsilon}_{y}=-\frac{\partial {w}_{y}}{\partial y}, {\gamma }_{zx}=-(\frac{\partial {w}_{z}}{\partial x}+\frac{\partial {w}_{x}}{\partial z}), \\ {\varepsilon }_{z}=-\frac{\partial {w}_{z}}{\partial z}, {\gamma }_{xy}=-(\frac{\partial {w}_{x}}{\partial y}+\frac{\partial {w}_{y}}{\partial x}).\end{array}\right\} $, 注:式中:G为剪切模量;υ为泊松比;wx、wy和wz分别x、y和z方向的位移;βT为热膨胀系数;K为体积模量,其与剪切模量和泊松比的关系为$ K=\frac{2G(1+\nu)}{3(1+2\nu)} $;γsat为饱和重度;σ为总应力;σ´为有效应力;εx、εy和εz分别为x、y和z方向的应变;$ {\varepsilon }_{v}={\varepsilon }_{x}+{\varepsilon }_{y}+{\varepsilon }_{z} $为体应变;τ为剪应力;γ为剪应变. 表 6 模型参数取值
Table 6. Model parameters
参数 取值 模型尺寸(X×Y×Z), m3 0.08×0.038×0.038 裂隙初始开度, m 4.03×10‒6 裂隙初始渗透率, m2 1.35×10‒12 基质渗透率, m2 1.00×10‒20 基质孔隙度 0.03 裂隙孔隙度 0.60 动力粘滞系数, kg·m‒1s‒1 8.9×10‒3 杨氏模量, GPa 50.0 泊松比 0.20 Biot系数 1.0 应力荷载, MPa 5~40 -
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