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Proceedings Papers

Enhancing Upstream Operations: Hybrid Approach for ESP Failure Prediction in ADNOC’s Assets for Operational Excellence and Digital Progress

C. Hernandez, U. Asif, S. Caicedo, D. Al Nuaimi, S. A. Bakhti, R. Guzman, H. Aguilar, K. Alsaeedi, M. Al Radhi, Z. Alhashmi, A. Alhammadi, A. Abdelkerim, T. Chelligue, W. Almadhoun, C. Palomino, R. Ayoubi, A. Hammo, A. Arnaout, S. Penubarthi
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222892-MS
https://doi.org/10.2118/222892-MS
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View Paper titled, Enhancing Upstream Operations: Hybrid Approach for ESP Failure Prediction in ADNOC’s Assets for Operational Excellence and Digital Progress
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Proceedings Papers

Revolutionizing Oil Field Operations: Implementing Multivariable Predictive Control to Drive Autonomous Well Control Operations

C. Hernandez, N. Matta, W. Almadhoun, T. Chelligue, C. Palomino, A. Alhammo, R. Ayoubi, A. Arnaout, S. Penubarthi, M. Pandey, A. Abdullayev, A. Al Sabbagh, J. Asarpota, G. Mijares, P. Damarla
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222967-MS
https://doi.org/10.2118/222967-MS
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View Paper titled, Revolutionizing Oil Field Operations: Implementing Multivariable Predictive Control to Drive Autonomous Well Control Operations
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Proceedings Papers

Intelligent Data Quality Control of Real-time Rig Data

A.. Arnaout, P.. Zoellner, N.. Johnstone, G.. Thonhauser
Paper presented at the SPE Middle East Intelligent Energy Conference and Exhibition, October 28–30, 2013
Paper Number: SPE-167437-MS
https://doi.org/10.2118/167437-MS
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Proceedings Papers

Intelligent Real-time Drilling Operations Classification Using Trend Analysis of Drilling Rig Sensors Data

A.. Arnaout, R.. Fruhwirth, B.. Esmael, G.. Thonhauser
Paper presented at the SPE Kuwait International Petroleum Conference and Exhibition, December 10–12, 2012
Paper Number: SPE-163302-MS
https://doi.org/10.2118/163302-MS
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View Paper titled, Intelligent Real-time Drilling Operations Classification Using Trend Analysis of Drilling Rig Sensors Data
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