Hadi Mustapha
Rig State Identification and Equipment Optimization Using IoT Solutions.
Rel. Giovanni Andrea Blengini. Politecnico di Torino, Corso di laurea magistrale in Petroleum And Mining Engineering (Ingegneria Del Petrolio E Mineraria), 2022
Abstract
The industrial digitalization and automation has been a trending subject in modern industries worldwide. The implementation of Industry 4.0 technologies has shifted traditional businesses into smarter ones by the applications of Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) solutions. The outcome of these applications is a more sustainable approach towards processes and operations in terms of having comprehensive benefits from the data collected. This paper discusses the implementation of an IoT data management system on modern drilling rigs with the focus of having an added benefit from the real-time data coming from the sensors mounted on the rig equipment.
An automatic rig state tracker algorithm was developed that is capable of detecting the rig’s operational status through a set of parameters in real time
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