Abstract This paper presents a comprehensive, data-driven approach to optimizing hydraulic fracturing and well testing in a tight gas-condensate greenfield in North Central Oman. By integrating multi-disciplinary datasets, including well logs, production data, fracture diagnostics, and analytical techniques such as Pressure Transient Analysis (PTA) and Diagnostic Fracture Injection Tests (DFITs), the study enabled iterative design improvements across three well campaigns. The approach emphasized real-time feedback loops and continuous optimization, resulting in a 49% improvement in gas rate per proppant tonnage, a 64% reduction in flowback duration, and a 50% reduction in PLT survey time. Key insights included the shift from volume-driven to efficiency-driven stimulation strategies, the successful reduction of fracture stages without compromising reservoir contact, and the selective application of DFITs based on diagnostic evidence of stage communication. These optimizations led to enhanced fracture efficiency, reduced material usage, and improved operational performance. The findings demonstrate the value of integrating diagnostics and analytics early in field development to reduce uncertainty, improve productivity, and lower costs. This methodology offers a scalable framework for sustainable development in similarly complex tight gas-condensate reservoirs.
Amri et al. (Tue,) studied this question.