Discrete element simulation and dimensionless parameter-based optimization of near-wellbore fracture propagation during perforation fracturing of tight sandstone.
Perforation fracturing is essential for stimulating unconventional reservoirs such as shale and tight sandstone. However, field monitoring techniques has revealed that many perforation clusters contribute little to post-fracturing production, indicating inefficient fracture initiation and limited stimulation effect. This study conducts a sensitivity analysis of key controlling engineering parameters for perforation fracturing based on the discrete lattice method, and introduces theoretically derived dimensionless parameters to bridge the gap between numerical simulation and multi-parameter engineering optimization. Single-cluster simplified perforation fracturing models under different perforation patterns are established to describe mesoscopic cross-scale fluid-solid coupling during fracture initiation and propagation, and are validated against near-wellbore simulation results and experimental observations. After model validation, a single-stage multi-cluster fracturing model is developed based on the validated model to reveal the competitive propagation mechanisms and geometrical evolution patterns of multiple fractures. The study found that helical perforation can produce the highest breakdown pressure and the largest volume of initiated crack compared to directional and fixed-plane perforation. Increasing the helical perforation diameter and perforation depth while reducing the perforation density can reduce breakdown pressure, increase stimulated reservoir volume (SRV), and reduce SRV standard deviation. For a fixed stage length, cluster length, cluster spacing, and cluster number have limited effects on breakdown pressure, whereas increasing cluster spacing and cluster length can reduce SRV standard deviation. Through quantitative statistics of simulation results and theoretical analysis, this study clarifies the relationships among dimensionless engineering parameters for the target sandstone reservoir and develops a construction optimization scheme, providing technical guidance and theoretical support for perforation fracturing in tight sandstone horizontal wells.
To address the relatively high near-wellbore fracture-initiation resistance and the tendency of hydraulic fractures to propagate along a dominant path under conventional perforation-based hydraulic fracturing, three large-scale hydraulic-fracturing experiments were conducted using a 10,000-ton ultra-large true-triaxial...
Bo-Bo Xie, Jing-Chen Zhang, Xi Chen et al.· Processes· 0 citations
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
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 inve...
Nan Yang, Jing Liu, Ming Xu et al.· Applied Sciences· 0 citations
To address the challenges of the Xujiahe tight sandstone gas reservoir in Block Y and explore suitable volume fracturing techniques for tight sandstone gas, hydraulic fracturing simulation experiments with full-diameter core were conducted using sandstone samples taken from the Y Block. Those can reconstruct the three-...
P. Yong· Journal of Physics, Conferen...· 0 citations
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