Enterprise AI Analysis

International oil companies are leading the adoption of intelligent technologies in HSE management. Eni Company collaborated with Canrig Robotics to deploy robotic drilling systems, enhancing efficiency and safety in extreme environments by removing personnel from hazardous areas. Exxon Mobil partnered with Microsoft to build intelligent oil and gas fields in the Permian Basin, using data lakes, machine learning, and cloud computing to optimize operations, improve safety, and reduce driving mileage for field technicians. Shell's deepwater projects incorporate digital Security Watch and Report (SOAR) tools for daily verification, enabling real-time trend analysis and performance improvement, significantly reducing recorded incidents and violations. Shell, Baker Hughes, Microsoft, and C3 AI launched the 'Open AI Initiative for Energy,' developing AI solutions. Shell also deployed ATEX-certified autonomous robots in its Rotterdam Chemical Park, using machine vision to detect fugitive emissions, identify corrosion, and track damage, thereby improving visual inspections and reducing HSE risks. Equinor established a Global Operations Center in 2019, centralizing over 300 key tasks to reduce high-risk offshore operations and lower CO2 emissions through remote monitoring. They also integrated a 'remote operation center + digital safety culture' initiative, leading to a decrease in serious incidents, recordable injuries, and leakage incidents from 2023 to 2024. Additionally, VR training has proven vital, with companies like Exxon Mobil, Shell, and Chevron significantly reducing accidents and improving emergency response through immersive simulations.

The intelligent transformation of HSE management faces several challenges. Human-computer interaction issues arise with wearable devices in complex, hazardous environments like explosion zones, limiting worker movement and vision. There's a need to improve the digital skills of employees and address the conservative mindset that often prioritizes experience over data-driven decisions. The rapid development of computer technology also poses challenges related to software and hardware adaptation, including precision loss, difficult invocation, low collaboration efficiency, and increasing energy consumption in data centers. Most critically, the petroleum industry faces escalating cybersecurity risks, with a high percentage of companies reporting cyber-attacks. Geopolitical tensions exacerbate these threats, making data security protection paramount. To address these, petroleum enterprises should strengthen data security, build open and innovative ecosystems, and promote a shift from passive response to active prevention, ensuring continuous impetus for efficient and safe industry development.