Tech Paper Coiled Tubing Autonomous Conveyance Improves Consistency of Offshore Intervention Operations
The implementation of coiled tubing (CT) conveyance automation in the North Sea represents the first step toward autonomous CT operations
Higher performing wireline, slickline, and coiled tubing operations
Wireline, slickline, and coiled tubing intervention has become more challenging as wells have increased in depth, tortuosity, and advanced completions complexity. These operations are often risky, unpredictable, and heavily reliant on manual tasks and personnel experience.
SLB has reinvented well intervention by developing the industry's first digital platform for intervention—leveraging edge computing, digitalization, automation, and Neuro™ autonomous solutions to significantly improve operational performance. By seamlessly combining innovative hardware and advanced digital technologies, we have created a powerful ecosystem that transforms wireline, slickline, and coiled tubing operations.
Operation status and upcoming activities are all displayed in real time to keep you up-to-date.
Conveyance, depth accuracy, data quality assurance, and tasks can all be automated and augmented to enable more efficiency.
Connected intelligent systems create a continuous feedback loop between surface and downhole. This enables quicker operational adjustments with efficiency, consistency, and reliability.
Multiple computers can run in parallel to increase processing power, eliminate the need for cloud processing, and comply with data residency requirements—shrinking the decision timeline.
In Norway, as part of the Intervention and Stimulation Alliance (Aker BP, SLB, and StimWell Services), SLB autonomous solutions have optimized wireline, slickline, and coiled tubing operations. The first autonomous offshore wireline and slickline operations provided an end-to-end plug setting workflow at deeper depths and with better performance than conventional operations: Automated wireline conveyance and spooling enabled safer and more efficient run-in-hole and pull-out-of-hole activities for a 20% efficiency gain to date. Automated casing collar locator (CCL) depth correlation shortened the time required to confirm that the plug was set to depth. And automated initiation of the plug setting sequence confirmed each step. Combined with AI and machine learning, the autonomous operations enabled making needed adjustments as they happened, removing variability due to human intervention.
In addition, the alliance executed the first campaign of autonomous CT operations in the Norwegian Continental Shelf, increasing running speed up to 25% compared with standard operations.