AUTOMATION AND DIGITALISATION IN DRILLING OPERATIONS

Abstract

This meta-analysis investigates the effects of automation and digitalisation on drilling operations, emphasising the contributions of artificial intelligence (AI), the Internet of Things (IoT), and robotics in improving decision-making and minimising non-productive time (NPT). A thorough analysis of 10 recent research reveals that the incorporation of these technologies results in substantial enhancements in operational efficiency, safety, and economic viability in the oil and gas industry. AI-driven analytics provide enhanced real-time decision-making, potentially reducing drilling time by as much as 30%. Robotics and automation diminish human exposure to perilous tasks, hence improving safety and alleviating dangers. Nonetheless, obstacles like as the implementation of autonomous drilling platforms, data transmission difficulties in remote regions, and the necessity for labour skill enhancement persist as substantial impediments. This examination delineates essential chances for enhancement, encompassing the creation of predictive maintenance algorithms and digital twins for risk simulation. The results highlight the imperative for industry stakeholders to engage in technology innovations and training initiatives to optimise the advantages of automation and digitalisation. This study provides significant insights for improving drilling operations and assuring increased efficiency, safety, and sustainability in the changing oil and gas sector landscape.