The recent implementation of autonomous wireline and slickline conveyance and spooling in the North Sea represents the first offshore wireline autonomous operation and the first slickline autonomous operation. With more than 50 runs completed, it is now possible to establish a baseline of the performance of the automated system and compare the performance to that of manual job execution.

Traditional wireline/slickline units implement limited automation capabilities. Even the more advanced models rely on basic control systems (such as programmable logic controllers) to provide features such as speed control or static tension limits. The wireline and slickline autonomous conveyance system represents a technological leap, introducing an automation server in the unit. This device runs advanced software applications to seamlessly conduct run-in-hole and pull-out-of-hole activities without human intervention. The system employs reasoning algorithms to determine the optimal and safe actions required to achieve a given goal, even in a changing environment. An advanced tension model enables dynamic tension limit updates to maintain safety throughout the job. During its 1 year in operations, the system has been extensively used in multiple wells and is now a standard operating practice. Data collected to compare the performance of manual and autonomous operations demonstrate the increased consistency of the automated system. The current work presents an analysis of the running speeds and tension limits. Experience has enabled identification of areas where autonomous operations bring the most value to the operator, as well as potential areas for improvement. Autonomous intervention is one of the digital transformation goals for many operators and service providers. This paper provides a strategy for its implementation, as well as an analysis of its performance and value based on the collected data.