Aug 2026· Applied Sciences· 0 citations· 38 references
Abstract
Strong heterogeneity in unconventional reservoirs leads to complex fracture propagation and challenges in quantitative stimulation evaluation. This study integrates true triaxial fracturing experiments, three-dimensional CT reconstruction, multi-field coupled numerical simulation, and multiple linear regression to investigate the fracture behavior of Gulong shale (Q1, Q9) and tight sandstone under supercritical carbon dioxide (SC-CO2) fracturing. A fracture complexity index (FCI) that incorporates fractal dimension, spatial uniformity, and aperture distribution is proposed as a quantitative metric. The results show that SC-CO2 significantly reduces breakdown pressure and increases fracture complexity compared to water. For Q9 shale, SC-CO2 gives a breakdown pressure of 32.91 MPa (10.46% lower than water), a fractal dimension of 2.41, and an FCI of 8.92. In tight sandstone, the SC-CO2 breakdown pressure is 34.12 MPa, whereas water increases it to 44.50 MPa; the fractal dimension and FCI are only 2.05 and 3.40, respectively, lower than those of shale fractured with water. Multiple linear regression quantifies contribution weights: lithological weak-plane development dominates fracture complexity (41.6%), far exceeding the brittleness index. The injection rate mainly controls stimulation scale: the damage area ratio rises from 1.79% to 2.90% when the rate increases from 10 to 40 mL/min. The horizontal stress difference is key to complexity enhancement: the fractal dimension increases from 1.9230 to 1.9901 as the stress difference rises from 0 to 4 MPa. The numerical simulations further reveal the coupled thermal-hydraulic-mechanical effects. The proposed FCI-based evaluation and regression models provide a quantitative framework for optimizing SC-CO2 fracturing design in heterogeneous unconventional reservoirs.
Supercritical CO2 (ScCO2) fracturing is a promising method for shale gas stimulation because it can reduce water consumption and provide a potential route for CO2 utilization. In naturally fractured shale, stimulation performance is controlled not only by the extension of induced fractures, but also by their interact...
Ji-Ren Tang, Sheng-Yao Cai, Qi Cheng et al.· Energy & Fuels· 0 citations
Supercritical CO2 (SC–CO2) dual-well fracturing is a key technology for the development of deep tight reservoirs, where fracture propagation is predominantly influenced by the coupled effects of high temperature and in situ stress. To address the lack of systematic experimental investigations under high-temperature c...
Tight reservoirs commonly exhibit low permeability and pronounced lithological heterogeneity, resulting in complex interactions among far-field stress, local structural weakness, and fluid-driven fracture propagation. In this study, four non-replicated 2 m × 2 m × 1 m physical-model specimens representing tight gluteni...
Ning Li, Xin-Fang Ma, Guohua Liu et al.· Processes· 0 citations
Deep tight-reservoir fracability depends on temperature, fluid transport, in situ stress, fracture development, and injection energy, so no single response can provide a defensible ranking of fracturing conditions. This study develops a sparse second-order Choquet–Monte Carlo fracability framework. Additionally, the CR...
This study investigates the challenge of imbalanced fracture propagation during multicluster hydraulic fracturing in tight sandstone reservoirs of the Zitong Shaximiao Formation. A coupled extended finite-element method (XFEM)–fluid pipe element model is developed to systematically analyze the influence of operatio...
Song Li, Jian Yang, Yang Wang et al.· Journal of Energy Engineerin...· 0 citations
Conventional Rate Transient Analysis (RTA) models, based on homogeneous fracture assumptions, are inadequate for characterizing flow in complex fracture networks of heterogeneous unconventional reservoirs. This study develops a fractal-based RTA (FD-RTA) workflow integrating lithofacies analysis, microseismic fracture...
Yuan Yao, Ying-Hao Shen, Meng-Lin Zhang et al.· Fractal and Fractional· 0 citations
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