A Comprehensive Review and Simulation-Based Assessment of Pressure Enhancement Techniques in Gas Reservoirs

Natural Sustaining reservoir pressure is a major challenge in mature and tight gas fields, where productivity declines rapidly with depletion. This study presents a comprehensive evaluation and integrated decision-making framework for advanced pressure enhancement techniques, combining ECLIPSE-based reservoir simulations, regression and sensitivity analyses, and economic assessments. The research investigates hydraulic fracturing, matrix acidizing, gas lift, gas injection, and hybrid configurations, while also examining emerging innovations such as AI-assisted optimization, nanotechnology-enhanced stimulation, and carbon capture, utilization, and storage (CCUS).

Results indicate that hydraulic fracturing yields the highest production improvement (25–30%) in low-permeability reservoirs, while gas lift is most effective in liquid-loaded systems (15–20% gain). The hybrid fracturing + gas-lift configuration achieved the best overall ROI of 2.3–2.5, verified through sensitivity analysis under ±20% cost variation. Regression results (R² = 0.87) confirm that permeability and liquid accumulation are the dominant variables controlling enhancement efficiency.

The study introduces a novel, simulation-driven decision framework that integrates technical, economic, and sustainability metrics to guide the selection of optimal pressure enhancement strategies. This unified approach transforms traditional descriptive reviews into a quantitative, field-applicable tool, providing a pathway toward more efficient and environmentally responsible gas reservoir management.