AI-Driven Drilling Automation: Enhancing Efficiency and Safety

Vishnu Kumar Kaliappan, Hemawathi Somasundaram, Sam Goundar, Sakthivel Velusamy, Dhanasekaran Pachiyannan

Abstract


Automation in drilling operations is transforming the oil and gas industry, offering substantial improvements in efficiency, accuracy, and safety. This paper explores the use of artificial intelligence (AI) in automating drilling processes, with a focus on real-time decision-making, predictive analytics, and operational control. We examine the integration of AI with drilling equipment to optimize drilling paths, reduce operational downtime, and minimize human error. The paper highlights case studies where AI-driven systems have successfully enhanced drilling precision and safety. Key challenges, including the limitations of current technologies and the need for industry-wide standards, are also addressed, alongside recommendations for future research and development in AI-driven drilling automation.

Keywords


AI, drilling automation, oil and gas, safety.

References


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