Breakthrough in Drilling Automation Saves Rig Time and Safeguards Against Human Error
- Egill Abrahamsen (Sekal AS) | Ronny Bergerud (Sekal AS) | Roald Kluge (Statoil ASA) | Matthew King (Statoil ASA)
- Document ID
- Society of Petroleum Engineers
- Abu Dhabi International Petroleum Exhibition and Conference, 9-12 November, Abu Dhabi, UAE
- Publication Date
- Document Type
- Conference Paper
- 2015. Society of Petroleum Engineers
- 2 Well completion, 1.6 Drilling Operations, 2.3 Completion Monitoring Systems/Intelligent Wells, 1.13 Drilling Automation, 2.3.2 Downhole Sensors & Control Equipment, 1.10 Drilling Equipment, 6.3 Safety, 1.10 Drilling Equipment
- Drilling Optimisation, Modeling, Automated Rig, Drilling Automation, Drilling Control System
- 1 in the last 30 days
- 292 since 2007
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The world's first deployment of an automated drilling control system on a Statoil rig in the North Sea helped the rig in saving up to 10% rig time per well through safeguarding and optimizing manual operations and through automating repetitive drilling activities such as tripping, pipe filling, connections and pump start up. Advanced modelling of well conditions, combined with closed loop control of the drilling control system provided safeguards for pressure, rotary and hoisting velocity.Methods, Procedures, Process
The drilling instrumentation, surface- and downhole sensors are coupled with robust real-time and fully transient hydraulic, mechanical and thermodynamic models that continuously evaluate the current downhole conditions. These models determine all possible combinations of drillers' actions (string accelerations, velocities, rotation, pump start-ups and flow rates) that will cause the dynamic downhole pressure to reach or exceed upper and lower well stability- and geo-pressure prognosis. These results are actively used to safeguard both manual and automated sequences. For example should the driller attempt to pull the drill string at a velocity that would cause the downhole pressure to fall below the Pore Pressure or Collapse Pressure at any depth in the open hole section, the drilling control system will intervene and limit the upward velocity to a safe value based on the dynamic model.Results, Observations, Conclusions
The models effectively calculated and communicated current limits to the drilling control system, allowing the control system to safeguard the well against human error during manual operations and to automate various repetitive operations. Statistics after 3 wells proved an overall time saving of 4% per well through automated repetitive sequences (such as pump start-ups and friction tests) while another 2–8% time savings per well were realized through optimized manual operations (active safeguards and safety triggers) and other improvement initiatives by the rig. Although the system was originally developed to eliminate human errors and avoid major incidents (including technical side-tracks), the daily efficiency gains indicate that the system also avoids minor issues that otherwise would have slowed down the operation without being seen as downtime or Invisible Lost Time. This indicates that the system works as intended and that the system should be able to avoid major incidents when the relevant conditions arise.Novel/Additive Information
This paper demonstrates how automation reduces invisible lost time and allows drillers to focus on other activities while repetitive tasks are controlled by software. Furthermore, rig safety is significantly enhanced since the closed loop drilling control system prevents users from exceeding the dynamic limits calculated by the drilling control system.
|File Size||1 MB||Number of Pages||12|
Cayeux E., Daireaux B., 2009: "Early Detection of Drilling Conditions Deterioration Using Real-Time Calibration of Computer Models: Field Example from North Sea Drilling Operations," Paper SPE/IADC 119435 presented at the SPE/IADC Drilling Conference and Exhibition, Amsterdam, The Netherlands, 17-19 March, 2009
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Eric Cayeux, Benoît Daireaux, Erik Wolden Dvergsnes, IRIS, Gunnstein Sælevik, Sekal. SPE 150422. "Early Symptom Detection Based on Real-Time Evaluation of Downhole Conditions: Principles and Results from several North Sea Drilling Operations" This paper was prepared for presentation at the SPE Intelligent Energy International held in Utrecht, The Netherlands, 27–29 March 2012.
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