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Summary

A new system for real-time optimization and automated control of the drilling process has been tested successfully on the Statfjord C platform in the Norwegian sector of the North Sea.

The demonstrated system uses continuously calibrated dynamic process models combined with real-time drilling-data input to calculate available parameter windows, and forward-model simulations are applied to provide optimized operational parameter sequences. The calculation results are applied directly in machine control. The system further applies automated testing combined with continuous diagnostics to provide process advisory.

In the field test, pipe-movement control automation, pump-rate control automation, and automated wellbore-condition diagnostics were demonstrated, proving fail-safe application of process safeguard enforcement and optimization of operational procedures. Results from active and passive testing indicated that the new methodology has the ability to improve drilling-process reliability, safely increase drilling efficiency, and reduce the risk of human error.

The authors provide a thorough description of the preparations and testing and present an evaluation of the test results, with reference to success criteria that were developed in cooperation with the field operator and drilling contractors involved in the test. Implications for the work organization are also discussed, particularly in relation to control of data input, decision making, and responsibility.

The demonstrated technology applies direct integration of current know-how and best practices into the drilling-control system, and available real-time information is applied directly in controlling the drilling process.