海上油田数字化转型

Search documents
又一无人智能平台在南海东部油田安家
Zhong Guo Xin Wen Wang· 2025-07-15 12:56
Core Insights - China National Offshore Oil Corporation (CNOOC) Shenzhen branch successfully completed the offshore installation of the upper module of the Xijiang 24-7 platform on July 14, marking the beginning of a new phase in joint debugging for the platform [1][2] - The Xijiang 24-7 platform represents a significant advancement in the application of unmanned platform technology, showcasing improvements in digitalization, production processing capacity, operational costs, and safety [1] - The project is part of CNOOC's efforts to drive the digital transformation of offshore oil fields, with the average water depth in the area being approximately 90 meters [1] Project Details - The upper module of the Xijiang 24-7 platform weighs approximately 3,310 tons and consists of a two-layer deck structure, with the main deck measuring 36.3 meters in length and 36.1 meters in width, equivalent to the area of three basketball courts [1] - The platform is designed to utilize multiple digital technologies, enabling functions such as intelligent oil extraction, smart equipment operation, and intelligent security [1] Installation Challenges - The installation occurred during a season prone to severe weather, including typhoons and strong convective conditions, necessitating careful planning and resource management to mitigate the impact of Typhoon 'Danas' [2] - The project team implemented innovative guiding devices and positioning spikes to ensure precision during the installation, achieving an overall alignment error of less than 1 millimeter [2] Production Performance - In the first half of the year, the eastern South China Sea oil fields exceeded production targets for both crude oil and natural gas, focusing on maximizing output and efficiency [2] - New projects adhered to the principle of "land-based support for sea operations" and enhanced resource coordination, with simultaneous construction of multiple platforms in Zhuhai and Qingdao [2]