TY - EJOU AU - Yang, Yonghua AU - Teng, Xiaolan AU - Zhang, Yulong AU - Lu, Li AU - Xu, Wenjun AU - Liao, Yuanai TI - Optimization Method and Field Application of Energy-Enhancement Hydraulic Fracturing in Tight Sandstone Reservoirs T2 - Energy Engineering PY - VL - IS - SN - 1546-0118 AB - Tight sandstone gas reservoirs have significant development potential; however, due to strong reservoir tightness and pronounced heterogeneity, conventional hydraulic fracturing is often constrained by water-blocking effects and insufficient formation energy, resulting in limited stimulation performance. To address these challenges, this study focuses on a tight sandstone gas reservoir in western Sichuan and develops a triple-medium gas–water two-phase productivity prediction model coupling the main fracture, stimulated reservoir volume (SRV), and matrix, in which key physical mechanisms such as fracture geometry, gas slippage effects, stress sensitivity, and capillary forces are systematically considered. Based on this model, an energy-Enhancement fracturing optimization workflow of “controlling-factor identification–process matching–construction parameter optimization” is proposed, and grey relational analysis is employed to quantitatively evaluate the influence of geological and engineering parameters on production performance. The results indicate that the dominant controlling factors governing production are, in descending order of importance, formation pressure, main fracture conductivity, SRV area, SRV permeability, and matrix water saturation. Guided by the controlling-factor-driven process matching principle, an energy-Enhancement fracturing scheme of “liquid nitrogen pre-pad + high-intensity proppant loading” is optimized, which increases the daily gas production of a single well from no production prior to stimulation to 1.52 × 104 m3. The results demonstrate that the proposed model and optimization workflow enable a closed-loop optimization from mechanistic analysis to field implementation, providing a systematic and scalable technical pathway for fracturing design in tight sandstone gas reservoirs. KW - Tight sandstone; energy-Enhancement fracturing; productivity prediction model; grey relational analysis; dominant factor identification DO - 10.32604/ee.2026.076993