Halliburton and Eni Claim First Deepwater Closed-Loop Drilling Automation
Halliburton and Eni say they have completed the first integrated closed-loop rig automation with managed pressure drilling on a deepwater well offshore Indonesia, improving efficiency by over 15%.
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Halliburton and Eni announced they have successfully deployed a fully integrated closed-loop rig automation system combined with managed pressure drilling on a deepwater exploration well offshore Indonesia. The operation, which utilized Halliburton's LOGIX™ automation platform alongside remote operations, is described as an industry first for such a comprehensive setup in a deepwater environment.
According to the companies, the closed-loop system improved drilling efficiency by more than 15% compared to conventional methods. The achievement is said to represent multiple industry and regional firsts, demonstrating that advanced closed-loop drilling automation can be scaled for complex offshore conditions.
Halliburton stated that deploying LOGIX™ automation and remote operations on a deepwater well with Eni offshore Indonesia marks a significant milestone. The system integrates real-time data analytics and automated drilling control to optimize performance while maintaining safety.
Eni and Halliburton applied managed pressure drilling techniques within the closed-loop automation framework, enabling precise wellbore pressure management. This combination is particularly valuable in deepwater settings where narrow pressure windows and challenging geology require tight control.
The successful field trial underscores the growing trend toward automation in the oil and gas industry, especially in deepwater and other high-risk environments. Both companies expect the technology to reduce non-productive time and improve overall drilling economics.
While specific well location and depth details were not disclosed, the operation offshore Indonesia highlights the region's role as a testing ground for advanced drilling technologies. The companies did not provide a timeline for broader commercial deployment but indicated that the results validate the approach for future projects.