News

The digital transformation of oil and gas drilling operations has reached a new milestone in China's shale oil fields. Bohai Drilling, a subsidiary of China National Petroleum Corporation, has successfully deployed 10 intelligent inspection terminals at the Daqing Gulong shale oil field, fundamentally changing how drilling sites are monitored and maintained. The deployment, completed in August 2026, represents one of the most comprehensive implementations of automated inspection technology in China's onshore drilling operations.

The impact of this deployment has been immediate and measurable. According to Bohai Drilling's operational data, inspection tasks that previously required hours of manual rounds can now be completed in just 25 minutes. The intelligent terminals automatically monitor 77 critical checkpoints covering equipment operation status, well control safety parameters, and environmental conditions. This dramatic reduction in inspection time translates directly into improved operational efficiency and, more importantly, enhanced safety through more frequent and thorough monitoring.

The intelligent inspection system operates on a sophisticated architecture combining IoT sensors, edge computing, and centralized data analytics. Each terminal is equipped with multiple sensor types including thermal imaging cameras, vibration sensors, gas detectors, and high-resolution visual cameras. These sensors continuously collect data from critical equipment such as drawworks, top drives, mud pumps, and well control systems. The data is processed locally at the edge to enable real-time decision-making, while simultaneously being transmitted to central monitoring stations for comprehensive analysis and trend identification.

One of the system's key innovations is its automated report generation capability. After completing each inspection cycle, the terminals automatically generate detailed reports covering all monitored parameters, flag any anomalies or potential hazards, and push rectification recommendations to maintenance personnel. This eliminates the manual documentation burden that traditionally consumed significant portions of inspection time and reduces the risk of human error in hazard identification. The system has demonstrated a 40% improvement in hazard detection efficiency compared to manual inspection methods, according to Bohai Drilling's performance metrics.

The deployment addresses a critical challenge in drilling operations: the need for continuous monitoring in harsh, remote environments where human inspectors face safety risks and operational limitations. Drilling sites operate 24/7 in all weather conditions, with equipment subject to extreme loads, high pressures, and corrosive environments. Manual inspections, while thorough, are inherently limited by human endurance, attention span, and the physical challenges of accessing certain equipment locations. The intelligent terminals overcome these limitations by providing consistent, round-the-clock monitoring with standardized inspection protocols that cannot be skipped or shortened due to fatigue or adverse conditions.

The system's predictive maintenance capabilities represent another significant advancement. By continuously monitoring equipment parameters such as temperature, pressure, vibration patterns, and power consumption, the terminals can identify early warning signs of potential equipment failures. Machine learning algorithms analyze trends in the collected data to predict when components are likely to require maintenance or replacement, enabling proactive intervention before failures occur. This shift from reactive to predictive maintenance has profound implications for drilling operations, where unplanned equipment downtime can cost hundreds of thousands of dollars per day in lost production.

Integration with existing drilling control systems was a critical success factor for the deployment. The intelligent terminals do not operate as isolated monitoring systems but are fully integrated with the drilling site's distributed control system and safety instrumented systems. When the terminals detect anomalies that could indicate developing equipment problems, they can automatically trigger protective actions such as reducing equipment load, initiating backup systems, or alerting operators to take specific corrective measures. This integration ensures that the inspection system contributes directly to operational safety rather than merely providing passive monitoring.

The Daqing Gulong shale oil field presents particularly challenging conditions for inspection automation. As one of China's largest shale oil developments, the field features multiple drilling pads operating simultaneously, with each pad hosting complex drilling equipment arrays. The geological characteristics of shale formations require specialized drilling techniques including extended-reach horizontal wells and multi-stage hydraulic fracturing, which place additional demands on drilling equipment. The intelligent terminals must monitor not only standard drilling equipment but also specialized shale oil drilling and completion equipment, requiring sophisticated sensor configurations and analysis algorithms tailored to these specific applications.

Environmental monitoring represents another important aspect of the system's capabilities. Drilling operations must comply with increasingly stringent environmental regulations covering air emissions, water quality, soil contamination, and noise levels. The intelligent terminals continuously monitor environmental parameters around the drilling site, automatically generating compliance reports and alerting operators if any parameter approaches regulatory limits. This proactive environmental monitoring helps operators maintain compliance and avoid costly penalties while demonstrating responsible operational practices to regulators and local communities.

The deployment has also transformed workforce roles and responsibilities. Rather than eliminating inspection personnel, the intelligent terminals have enabled them to focus on higher-value activities such as data analysis, trend identification, and maintenance planning. Inspection personnel now spend less time on routine data collection and more time interpreting the information provided by the terminals, making informed decisions about equipment maintenance priorities, and optimizing drilling parameters based on comprehensive operational data. This evolution from manual inspector to data analyst represents a significant upskilling opportunity for the drilling workforce.

Training and change management were critical components of the deployment strategy. Bohai Drilling invested heavily in preparing its workforce for the transition to intelligent inspection, providing comprehensive training on system operation, data interpretation, and maintenance of the terminal equipment. The company also worked closely with equipment manufacturers to ensure that the terminals could be maintained and serviced locally, reducing dependence on external support and minimizing downtime. This focus on local capability building has been essential for the system's long-term sustainability and acceptance by drilling site personnel.

The success of the Daqing Gulong deployment has generated significant interest from other drilling operators across China. Several major oil and gas companies have initiated discussions with Bohai Drilling about implementing similar systems at their own operations, recognizing the potential for substantial improvements in efficiency, safety, and cost reduction. The company is actively sharing its experience and best practices through industry forums and technical conferences, contributing to the broader adoption of intelligent inspection technology across China's oil and gas sector.

Looking ahead, Bohai Drilling plans to expand the intelligent inspection system's capabilities through integration with additional data sources and advanced analytics. The company is exploring the use of digital twin technology to create virtual replicas of drilling equipment, enabling more accurate prediction of equipment behavior and maintenance needs. Integration with drilling optimization systems could enable real-time adjustment of drilling parameters based on equipment condition monitoring, further improving efficiency and extending equipment life. These enhancements position intelligent inspection as a foundational technology for the next generation of autonomous drilling operations.

The deployment also has implications for equipment manufacturers, who must now design drilling equipment with intelligent inspection compatibility in mind. Future drilling rigs will likely be equipped with standardized sensor interfaces, built-in condition monitoring capabilities, and communication protocols that enable seamless integration with intelligent inspection systems. This evolution toward "inspection-ready" equipment will further reduce implementation costs and accelerate adoption across the industry, creating a virtuous cycle of innovation and improvement.

Written by: Maxwell, with over a decade of experience in industrial automation, specializing in oil and gas drilling automation and safety systems. Maxwell has worked with drilling operators and service companies to implement advanced monitoring and control solutions that improve operational efficiency and reduce safety risks.