To accelerate integration into the new technological revolution led by DeepSeek's large language models, Zhenhua Oil’s EBS Oilfield Project in Iraq has successfully completed the localized deployment of DeepSeek-R1 at its field site. This marks the first-ever application of AI for single-well monitoring and intelligent diagnostics within the oil field, representing a pivotal step toward achieving digital and intelligent management.

Following the launch of the DeepSeek model, EBS company promptly set its strategic objective: to leverage DeepSeek’s technological potential to overcome real-world challenges in oil field production. Confronted with issues such as unstable cross-border cloud computing networks and concerns over core asset data security, the research team established a local AI computing environment on a private cloud platform. This initiative has significantly enhanced on-site data storage and enabled low-latency, intelligent analysis. Furthermore, by tailoring business scenarios and optimizing industry-specific keywords, DeepSeek-R1 is now capable of accurately interpreting operational logic and seamlessly integrating with production workflows.

Powered by DeepSeek-R1, the AI system now operates 24/7, reducing problem detection times to mere minutes while providing intelligent risk assessments and optimal solutions based on real-time data. Integration with mobile applications ensures that technicians receive timely notifications, thereby enhancing response speed. Since its pilot launch, the system has achieved a 30% reduction in false alarm rates, a 40% decrease in response times, a 30% cut in manual inspection workloads, and an overall 20% improvement in operational efficiency.

At a recent oil field technology exchange conference , Iraqi representatives highly praised the innovation for its role in enhancing safety and management efficiency, and they recommended its broader application across additional production blocks.