Core Viewpoint - The global refining industry is undergoing a profound transformation towards digitalization, with companies achieving over 15% improvement in production efficiency and a 10% reduction in forecasting errors through smart factory initiatives [1] Group 1: Technology Application - Since initiating its AI special plan in 2017, Sinopec has progressively implemented digital technologies in the refining sector, achieving a 50% increase in weighing efficiency and a 70% reduction in workforce through smart inspection systems [2] - The 5G smart warehousing has enhanced storage capacity by 40% to 60%, and these technologies have been expanded to over 20 refining enterprises after successful pilot testing [2] - Sinopec is collaborating with Royal Dutch Shell to exchange technical experiences in building digital twin systems for real-time production optimization, with plans to pilot this technology in three refining enterprises by 2025 [2] - The company has launched the "Jingzhe" data governance toolkit to address challenges in data isolation, inconsistent standards, and quality control within the petrochemical industry [2] Group 2: Management Transformation - Digital transformation is driving innovation in management models, with Sinopec establishing a unified AI platform that connects 22 refining enterprises and has developed over 150 intelligent applications, saving approximately 200 million yuan annually in information technology costs [3] - Sinopec is exploring a "build-manage-integrate" digital twin model for new projects, collecting over 500,000 equipment data points during the construction phase to support future intelligent operations [3] - The company is also adapting digital technologies to improve the human factor in operations, having localized a virtual training system in collaboration with BASF to train new employees [3] Group 3: Future Outlook - The digital transformation in the global refining industry is still in its early stages, and Chinese refining companies need to enhance international exchanges and absorb advanced experiences to support this transition [4] - Approximately 60% of refining enterprises face shortcomings in data governance, with data silos being common; Sinopec plans to develop a large model for the refining industry by 2025 to address these issues [4] - Successful applications of technologies like digital twins require robust modeling and optimization, and Sinopec is establishing a team of 50 core model experts to maintain and optimize key process models across the group [4] Group 4: Strategic Commitment - Sinopec is committed to continuous exploration and practice in digital transformation, aiming for systematic changes across strategy, organization, and culture to accelerate the new industrialization process and transition from a "petrochemical giant" to a "petrochemical powerhouse" [5]
中国石化:以数智化转型提升行业竞争力