PETROCHINA(SH:601857) Yang Shi Wang·2025-05-21 09:14Group 1 - The "Changlong" intelligent drilling system, China's first independently developed system with proprietary intellectual property, has been officially put into operation, marking a significant step towards the digital transformation of the energy industry [1][3] - The system integrates intelligent drilling rigs, intelligent well sites, and intelligent decision-making platforms, providing smart engineering technology for oil and gas exploration and development at depths of nearly 10,000 meters [3][5] - Key technologies developed over more than a decade include an integrated pipe automation processing system and a digital twin platform, along with critical equipment such as a "suspended" electric-driven two-layer mechanical arm and fourth-generation comprehensive logging instruments [3][7] Group 2 - The intelligent drilling system is transforming traditional oil and gas exploration labor scenarios, allowing operators to complete the entire process with a simple touch on a screen [5][7] - The system has upgraded nine types of automated tools, achieving unmanned operations in three major work areas: the drilling platform, the two-layer platform, and the site [7] - If all domestic drilling rigs of China National Petroleum Corporation (CNPC) were to use this system, the time saved annually would be equivalent to a drilling team working continuously for 30 years [7] Group 3 - The intelligent sensor network collects 150 sets of data per second, creating a real-time updated "digital twin well site," with the intelligent decision-making platform generating optimal drilling parameters every five seconds [7] - Safety measures include a digital twin technology combined with electronic fencing, establishing three safety protection systems: prevention of pulling, collision, and falling [7] - The gas detection components have expanded from 8 to 15, and the analysis cycle has been compressed from 35 seconds to 10 seconds, significantly improving the accuracy of thin layer identification in oil and gas reservoirs [7]