Abstract: Currently, drilling engineering faces a series of challenges in safety, economy, and operational efficiency. The critical challenge that must be addressed in the development of intelligent drilling is how to integrate technologies such as detection, decision-making, and control to promote automated and autonomous drilling decision-making through digital technologies. Based on the design concept of “comprehensive perception, multi-source fusion, intelligent decision-making, and closed-loop control”, a large closed-loop for intelligent drilling decision-making and a dual closed-loop for wellsite-rear decision-making were proposed. The key technologies, such as data closed-loop, algorithm fusion, and instruction closed-loop, that integrated wellsite and rear decision-making were introduced, providing a system design for intelligent drilling analysis and decision-making. Based on the above system design, an integrated drilling analysis and decision-making platform for intelligent drilling was developed and applied in multiple wells such as Fengye 1-AHF, Fengye 1-BHF, and Fengye 1-CHF. The application results show that it has effectively improved the rate of penetration, accuracy of risk diagnosis, shortened the drilling cycle, and enhanced premium reservoir penetration rate. Research findings highlight that the closed-loop of data, algorithms, and decision-making forms the core of intelligent drilling development, and the dual closed-loop synergy, algorithm intelligence, and full-life-cycle analysis are the key drivers to promote the development of autonomous intelligent drilling.