Abstract: Addressing the long-standing technical bottlenecks in unconventional shale oil and gas fracturing operations, including poor manual operation consistency, conflicting fracturing efficiency and quality, and the inability of real-time monitoring data to guide field construction, this paper systematically summarizes the technical framework and field application progress of closed-loop intelligent fracturing systems represented by Halliburton ZEUS IQ™. The system builds an integrated surface-underground closed-loop architecture through three independent modules: Sensori perception, Octiv decision-making, and Zeus execution. It acquires real-time fracture propagation dynamics via downhole monitoring technologies such as distributed optical fibers, generates optimized regulation instructions intelligently through algorithms, and delivers millisecond-level responses and execution via electric fracturing fleets, realizing unmanned dynamic optimization of fracturing parameters. Field tests show that the system achieves end-to-end full-automatic operation for over 90% of fracturing stages and improves single-stage fracturing efficiency by 17%. Real-time feedback of fracture propagation rates and adaptive injection adjustment effectively suppresses excessive ineffective fractures and improves the consistency and uniformity of reservoir reconstruction across all wells on integrated development platforms. The system has evolved from theoretical research to large-scale field application, upgrading traditional fracturing from pre-design and manual supervision to a real-time perception, dynamic decision-making and autonomous execution closed-loop mode. It provides critical technical support for collaborative shale oil and gas development and multi-well synchronous fracturing, and offers valuable references for domestic intelligent fracturing equipment development, multi-source monitoring data closed-loop transmission and adaptive algorithm research.