TY - GEN
T1 - Internet of Things IoT Edge Computer Vision Systems on Drilling Rigs
AU - Alsheikh, Mohammed
AU - Gooneratne, Chinthaka
AU - Magana-Mora, Arturo
AU - Ibrahim, Mohamad
AU - Affleck, Mike
AU - Contreras, William
AU - Zhan, Guodong David
AU - Jamea, Musab Al
AU - Umairin, Isa Al
AU - Zaghary, Ahmed
AU - Ayachi, Mohammed Ilies
AU - Abdelkader, Ahmed Galal
AU - Ahmed, Shehab
AU - Makowski, Greg
AU - Kapoor, Hitesh
N1 - KAUST Repository Item: Exported on 2022-01-27
PY - 2021/12/15
Y1 - 2021/12/15
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/674943
UR - https://onepetro.org/SPEMEOS/proceedings/21MEOS/4-21MEOS/D041S035R005/474573
U2 - 10.2118/204757-ms
DO - 10.2118/204757-ms
M3 - Conference contribution
BT - Day 4 Wed, December 01, 2021
PB - SPE
ER -