Lv Fang, Gao Wei, Chen Fang, Li Ronglei, Chen Guangjie, Yi Tongsheng
School of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China.
Guizhou Coalfield Geology Bureau, Guiyang 550016, China.
ACS Omega. 2024 Sep 17;9(39):40531-40549. doi: 10.1021/acsomega.4c03652. eCollection 2024 Oct 1.
The coal reservoirs exhibit great heterogeneity and strong anisotropy in multiscale pore/fracture structures. Developing highly accurate multiscale models for real-time prediction of microgaseous flow in complicated porous media with pronounced contrast in transport coefficients is crucial but not yet available, which is time-consuming, expensive, and even computationally impossible. In this study, a multiscale approximate solution of the gas flow and pressure field is derived in this paper for predicting coalbed methane (CBM) transport in macro-microscopic two-scale porous media of typical coal rocks in Guizhou Province, China, and the detailed finite element algorithm is established. The multiscale approximate solutions are constructed from the first- and second-order auxiliary cell functions and low- or high-order derivatives of the homogenized pressure field, which can accurately approximate the solution of the original problem to a certain extent. The numerical accuracy and validity of the multiscale approximate solutions under various working conditions are analyzed in detail by comparing and verifying the results with the direct numerical simulation results of fine-mesh high-precision finite elements. The results show that the homogenized approximate solution can only roughly capture the characteristics of the macroscopic pressure evolution, the first-order approximate solution can partially reproduce the macro-microscopic pressure oscillation phenomenon, and the second-order approximate solution can accurately predict the pressure profile and its evolution law with time in porous media with macro-micro configuration under various complex conditions. The second- and high-order two-scale approximate solutions constructed in this paper exhibit high numerical accuracy and excellent computational efficiency. We also develop multiscale approximate solutions for predicting microgaseous flow at a low reservoir pressure where the slippage effects are very pronounced. Potential applications of our high-order models to the coal reservoirs with a hierarchical matrix and fractures are discussed. The developed multiscale models exhibit excellent applicability to investigating the crossflow effects and coupling mechanisms between the matrix and cleats or fractures with multiple configurations in the CBM and shale gas reservoirs, which is crucial for the effective implementation of hydraulic fracturing technology. This study provides a fundamental understanding of gas transport in multiscale matrix-fracture networks, which helps to improve the optimization design of hydraulic fracturing in tight reservoirs.
煤储层在多尺度孔隙/裂缝结构上表现出极大的非均质性和强各向异性。开发用于实时预测复杂多孔介质中微尺度气体流动的高精度多尺度模型至关重要,但目前尚未实现,因为这既耗时、成本高,甚至在计算上也是不可能的。在本研究中,推导了气体流动和压力场的多尺度近似解,用于预测中国贵州省典型煤岩宏观-微观双尺度多孔介质中的煤层气(CBM)运移,并建立了详细的有限元算法。多尺度近似解由一阶和二阶辅助单元函数以及均匀化压力场的低阶或高阶导数构建而成,在一定程度上能够准确逼近原问题的解。通过与精细网格高精度有限元的直接数值模拟结果进行比较和验证,详细分析了多尺度近似解在各种工况下的数值精度和有效性。结果表明,均匀化近似解只能粗略捕捉宏观压力演化特征,一阶近似解能部分再现宏观-微观压力振荡现象,二阶近似解能准确预测各种复杂条件下具有宏观-微观构型的多孔介质中压力剖面及其随时间的演化规律。本文构建的二阶和高阶双尺度近似解具有较高的数值精度和出色的计算效率。我们还开发了用于预测低储层压力下微尺度气体流动的多尺度近似解,此时滑脱效应非常显著。讨论了我们的高阶模型在具有分层基质和裂缝的煤储层中的潜在应用。所开发的多尺度模型在研究煤层气和页岩气储层中基质与割理或裂缝之间具有多种构型的错流效应和耦合机制方面表现出出色的适用性,这对于水力压裂技术的有效实施至关重要。本研究为多尺度基质-裂缝网络中的气体运移提供了基本认识,有助于改进致密储层水力压裂的优化设计。