PetroChina Huabei Refinery Launches Digital Transformation Project
China's largest oil refiner is accelerating its push toward smart manufacturing with a comprehensive digital transformation initiative at one of its key northern facilities. PetroChina Huabei Refinery officially launched its digital transformation construction project on September 22, 2026, marking a significant step in the company's strategy to modernize aging refinery operations through advanced automation and intelligent systems.
The project, announced at a formal kickoff meeting attended by senior management and technology partners, encompasses two major components: a comprehensive digital transformation initiative and a research project focused on developing a three-dimensional intelligent inspection system for refinery units. According to the company's statement, both projects are scheduled for completion by June 2027, with the goal of achieving Level 4 intelligent manufacturing capability and reaching the "excellent" tier in smart factory classification.
The digital transformation component addresses five core business scenarios across production, process, energy, and equipment management, supported by three technology pillars. The initiative follows the "six unifications" principle—a standardized approach to enterprise architecture that PetroChina has been implementing across its refining subsidiaries to ensure consistency and interoperability. This systematic approach reflects the industry-wide recognition that digital transformation in refining must go beyond isolated technology deployments to encompass fundamental changes in how operations are managed and optimized.
The three-dimensional intelligent inspection system represents a particularly innovative aspect of the project. According to technical documents, the system will integrate four types of inspection platforms: ground-based wheeled and legged robots, platform-mounted rail systems, aerial drones, and fixed-point monitoring stations. This multi-layered approach enables comprehensive coverage of refinery facilities, from ground-level equipment to elevated piping and storage tanks. The system will provide real-time monitoring, intelligent预警, and automated data collection across all refinery units.
The project will be implemented at three specific refinery units: Refining Department 1, Refining Department 3, and Refining Department 4. These units represent a cross-section of Huabei's operations, allowing the company to develop and validate the intelligent inspection system across different process configurations and equipment types. The lessons learned from these initial deployments will inform broader rollout across PetroChina's refining network.
The initiative is being executed in collaboration with Kunlun Digital Intelligence, PetroChina's dedicated technology subsidiary focused on industrial digitalization. This partnership leverages Kunlun's expertise in industrial software, IoT platforms, and advanced analytics, combined with Huabei's deep operational knowledge and domain expertise. The collaboration model reflects a broader trend in China's state-owned enterprises, where specialized technology subsidiaries support operating companies in implementing digital initiatives.
Industry analysts note that PetroChina's digital transformation efforts come at a critical time for the refining sector. Chinese refineries face mounting pressure to improve energy efficiency, reduce emissions, and maintain competitiveness in an increasingly challenging market environment. According to industry data, China's refining capacity has grown substantially over the past decade, but utilization rates have declined as demand growth slows and environmental regulations tighten. Digital technologies offer a pathway to improve operational efficiency and extend the economic life of existing assets.
The intelligent inspection system addresses a persistent challenge in refinery operations: the difficulty of monitoring large, complex facilities with diverse equipment types and operating conditions. Traditional inspection methods rely heavily on manual rounds, which are labor-intensive, inconsistent, and potentially hazardous in areas with toxic or flammable materials. Automated inspection systems can perform tasks more frequently, consistently, and safely, while generating detailed data that enables predictive maintenance and early fault detection.
The project also emphasizes the importance of data integration and application. According to the project charter, a key objective is to ensure deep utilization of existing information systems, including ERP and production operations platforms. The company has identified "construction without application" as a common pitfall in digital transformation efforts and has mandated comprehensive training programs to ensure that operators and maintenance personnel can effectively leverage the new systems.
The target of achieving Level 4 intelligent manufacturing capability aligns with China's national smart manufacturing standards, which define five levels of maturity from basic automation to fully autonomous operations. Level 4 represents advanced integration of digital technologies with operational processes, enabling real-time optimization and predictive decision-making. Achieving this level requires not only technology deployment but also fundamental changes in organizational structure, workforce skills, and business processes.
The project's timeline of completion by June 2027 is ambitious but achievable, according to industry observers. PetroChina has significant resources and organizational capability to execute large-scale technology projects, and Kunlun Digital Intelligence has accumulated substantial experience from similar deployments at other PetroChina facilities. The success of this initiative could serve as a model for other refineries in China and potentially other PetroChina subsidiaries seeking to accelerate their digital transformation journeys.
For refinery operations managers evaluating digital transformation strategies, the Huabei project offers valuable insights into the scope, structure, and execution approach required for successful implementation. The emphasis on standardized architecture, comprehensive training, and measurable capability targets reflects lessons learned from earlier digitalization efforts across the industry.
Written by: Maxwell, with over 14 years of experience in refinery automation and digital transformation. Maxwell has led multiple smart manufacturing initiatives across Asia, helping refining companies integrate advanced technologies with operational excellence to achieve sustainable performance improvements.