The usage of Artificial Intelligence (AI) in the arena of drilling optimization is a rapidly evolving endeavor and is becoming increasingly prevalent. In many applications the goal is process automation and optimization with the intent to reduce cost, improve yield/outcome and address risk. Real-world experience, however, has taught us that the correct application, configuration, and realtime management of an AI system is equally as important as the underlying algorithms.
This paper poses that the implementation of an automated AI drilling system must consider the human element of acceptance in order to succeed. Proper onboarding and user acceptance is requisite to proper system configuration and performance. This paper sets forth guidelines that can be considered standard for initiating an AI drilling program.