Secure and Reliable Surface Data Architecture for Enhanced Drilling Operations

This paper presents a secure and standardized surface data architecture designed to enhance drilling operations and enable autonomous workflows. Traditional communication methods, such as WITS 0, lack the encryption and interoperability needed in today’s increasingly connected and cybersecurity-conscious drilling environments. By adopting OPC UA from the field level upward, and integrating data through Halliburton’s Logix™ Rigsite Integration Platform, this approach ensures real-time, high-integrity data sharing across all operational levels and stakeholders.

The architecture supports secure communication between diverse systems while preserving existing vendor infrastructures, reducing integration complexity. Figures included illustrate the complexity of traditional IT/OT data flows and the benefits of a unified, secure information network. Further advancements are demonstrated through integration with DWIS—a semantic interoperability framework developed by NORCE—enabling real- time machine learning interactions across platforms from companies like Petrobras, Sekal, and eDrilling.

Enhanced data quality from wired drill pipe systems further supports the transition to autonomous operations by providing high-frequency, high-resolution downhole data. Overall, the proposed architecture lays the groundwork for predictive and autonomous drilling control by ensuring consistency, security, and reliability in surface data handling.