Abstract: Intelligent drilling represents a core direction for the digital transformation of oil and gas exploration and development. Aiming at the insufficient efficiency and safety of conventional drilling modes in the development of deep, ultra-deep and unconventional oil and gas reservoirs, systematic research has been carried out focusing on intelligent drilling rigs, downhole measurement and control, intelligent decision-making and platform integration. An intelligent drilling technical system characterized by “triple fusion sensing - triple intelligent selection - triple cooperative control” is established. Centered on the core concepts of software-defined intelligence, hierarchical hardware adaptation and cloud-edge-end collaboration, this system covers three core subsystems: multi-source data perception, intelligent analysis and decision-making, and cooperative control and execution. Field tests of the intelligent drilling technology have been implemented in two typical scenarios, namely RTOC remote analysis and decision-making, and wellsite closed-loop autonomous regulation. Among them, the RTOC remote analysis and decision-making technology has been applied to more than 300 key wells in domestic and overseas work areas of Sinopec, achieving an ROP improvement of over 17.44% and a risk diagnosis accuracy higher than 90.2%. The field test of closed-loop autonomous regulation has accumulated a drilling footage of more than 4 000 m, initially reaching the L3 level of intelligence. The research shows that this intelligent technical system can provide a systematic solution for safe, efficient and precise drilling. Future research priorities include breakthroughs in full-process integrated closed-loop systems, fully autonomous decision-making algorithms, ultra-low-latency edge AI, so as to promote the large-scale application of intelligent drilling.