Internet of Things IoT Edge Computer Vision Systems on Drilling Rigs

Mohammed Alsheikh, Chinthaka Gooneratne, Arturo Magana-Mora, Mohamad Ibrahim, Mike Affleck, William Contreras, Guodong David Zhan, Musab Al Jamea, Isa Al Umairin, Ahmed Zaghary, Mohammed Ilies Ayachi, Ahmed Galal Abdelkader, Shehab Ahmed, Greg Makowski, Hitesh Kapoor

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This study focuses on the design and infrastructure development of Internet-of-Things (IoT) edge platforms on drilling rigs and the testing of pilot IoT-Edge Computer Vision Systems (ECVS) for the optimization of drilling processes. The pilot technology presented in this study, Well Control Space Out System (WC-SOS), reduces the risks associated with hydrocarbon release during drilling by significantly increasing the success and time response for shut-in a well. Current shut-in methods that require manual steps are prone to errors and may take minutes to perform, which is enough time for an irreversible escalation in the well control incident. Consequently, the WC-SOS enables the drilling rig crew to shut-in a well in seconds. The IoT-ECVS deployed for the WC-SOS can be seamlessly expanded to analyze drillstring dynamics and drilling fluid cuttings/solids/flow analysis at the shale shakers in real-time. When IoT-ECVSs communicate with each other, their value is multiplied, which makes interoperability essential for maximizing benefits in drilling operations.
Original languageEnglish (US)
Title of host publicationDay 4 Wed, December 01, 2021
StatePublished - Dec 15 2021

Bibliographical note

KAUST Repository Item: Exported on 2022-01-27


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