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world’s first digital twin management platform of deep-water jacket enters its operational monitoring phase

date:2023-04-07

recently, cooec has taken a crucial step forward in the field of deep-water digital twins with the formal operation of the world’s first digital twin management platform of deep-water jacket. the significance of this self-developed platform also lies in its ability to enhance the intelligent risk early-warning and life-cycle operation and maintenance management of deep-sea oil and gas equipment.

 

the digital twin management system is built based on the 300-meter deep-water jacket "haiji-1" - the first of its kind in asia. through the integration of intelligent sensing and digital twin technology, the system connects two powerful platforms - one virtual and one real - that work in unison to enable comprehensive data capture of underwater structures, remote control of safety management, and intelligent risk-warning capabilities. the system serves as an exemplar for china's offshore oil and gas digital transformation, highlighting the country's impressive strides in technological innovation. after 40 weeks of stable test operation, the system has collected an impressive volume of data amounting to almost 2tb. despite enduring several typhoons during this period, the system has successfully obtained valuable data from three specific typhoons, namely "ma-on", "nesat", and "nalgae", further cementing its reputation as a robust and reliable system.

 

the jacket digital twin software system developed in this project incorporates multiple functions, such as integrated data management, monitoring, early warning, detection, evaluation, and digital twin. this cutting-edge system enables real-time monitoring and display of platform data. by continuously accumulating monitoring data and updating the database iteratively, the system performs real-time analysis and intelligent data capture of the jacket. with the support of the real jacket and routine assessment calculations, the platform has established a reliable method to evaluate the local risk status. additionally, the management system enables online operation and maintenance management, paving the way for future design optimization and specification of deep-water jackets.


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