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Proceedings Papers

Knowledge Integration in Neural Networks for E-Maintenance: Application to an Oil & Gas Plant

Mattia Silvestri, Michele Lombardi, Emiliano Mucchi, Marco Piantanida, Luca Cadei, Giovanna Magnago, Valentina D'Ottavio, Nguyen Van Tu, Simona Duma, Silvia Taddei, Annagiulia Tiozzo, Andrea Corneo, Laura Rocchi, Pietro Coffari Di Gilferraro
Paper presented at the OMC Med Energy Conference and Exhibition, October 24–26, 2023
Paper Number: OMC-2023-300
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Proceedings Papers

A Business-Oriented Feature Selection Method for Enhancing Machine Learning Based Digital Tools Adoption in the Energy Industry

Andrea Corneo, Mauro Suardi, Lorenzo Lancia, Francesco Cannarile, Alessandra Fidanzi
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211601-MS
https://doi.org/10.2118/211601-MS
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Proceedings Papers

Digital Lighthouse: A Scalable Model for Digital Transformation in Oil & Gas

Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, Danilo Loffreno, Andrea Corneo, Diletta Milana, Marco Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Paper presented at the SPE Conference at Oman Petroleum & Energy Show, March 21–23, 2022
Paper Number: SPE-200149-MS
https://doi.org/10.2118/200149-MS
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Proceedings Papers

Hazardous Events Prevention and Management Through an Integrated Machine Learning and Big Data Analytics Framework

Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, Danilo Loffreno, Andrea Corneo, Diletta Milana, Marco Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Paper presented at the SPE Conference at Oman Petroleum & Energy Show, March 21–23, 2022
Paper Number: SPE-200110-MS
https://doi.org/10.2118/200110-MS
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Proceedings Papers

Achieving Digital-Twin Through Advanced Analytics Support: A Novelty Detection Framework to Highlight Real-Time Anomalies in Time Series

Luca Cadei, Gianmarco Rossi, Marco Montini, Piero Fier, Diletta Milana, Andrea Corneo, Lorenzo Lancia, Danilo Loffreno, Elisabetta Purlalli, Francesco Carducci, Riccardo Nizzolo, Gustavo Sophia
Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19834-MS
https://doi.org/10.2523/IPTC-19834-MS
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View Paper titled, Achieving Digital-Twin Through Advanced Analytics Support: A Novelty Detection Framework to Highlight Real-Time Anomalies in Time Series
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Proceedings Papers

Machine Learning Advanced Algorithm to Enhance Production Optimization: An ANN Proxy Modelling Approach

Luca Cadei, Gianmarco Rossi, Marco Montini, Piero Fier, Diletta Milana, Andrea Corneo, Lorenzo Lancia, Danilo Loffreno, Elisabetta Purlalli, Francesco Carducci, Riccardo Nizzolo, Gustavo Sophia
Paper presented at the International Petroleum Technology Conference, January 13–15, 2020
Paper Number: IPTC-19992-MS
https://doi.org/10.2523/IPTC-19992-MS
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Proceedings Papers

A Business-Oriented Framework to Evaluate Advanced Analytics for Predictive Maintenance: Measuring Benefits-Effort Tradeoff

Luca Cadei, Andrea Corneo, Diletta Milana, Danilo Loffreno, Lorenzo Lancia, Marco Montini, Gianmarco Rossi, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 11–14, 2019
Paper Number: SPE-197626-MS
https://doi.org/10.2118/197626-MS
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View Paper titled, A Business-Oriented Framework to Evaluate Advanced Analytics for Predictive Maintenance: Measuring Benefits-Effort Tradeoff
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Proceedings Papers

Advanced Analytics for Predictive Maintenance with Limited Data: Exploring the Fouling Problem in Heat Exchanging Equipment

Luca Cadei, Andrea Corneo, Diletta Milana, Danilo Loffreno, Lorenzo Lancia, Marco Montini, Gianmarco Rossi, Elisabetta Purlalli, Piero Fier, Francesco Carducci
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 11–14, 2019
Paper Number: SPE-197355-MS
https://doi.org/10.2118/197355-MS
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View Paper titled, Advanced Analytics for Predictive Maintenance with Limited Data: Exploring the Fouling Problem in Heat Exchanging Equipment
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Proceedings Papers

A Data Driven Management Strategy to Reduce the Environmental Impact of Upstream Production Plants

Luca Cadei, Danilo Loffreno, Giuseppe Camarda, Marco Montini, Gianmarco Rossi, Piero Fier, Davide Lupica, Andrea Corneo, Lorenzo Lancia, Diletta Milana, Marco Carrettoni, Elisabetta Purlalli, Francesco Carduccu, Gustavo Sophia
Paper presented at the SPE Norway One Day Seminar, May 14, 2019
Paper Number: SPE-195615-MS
https://doi.org/10.2118/195615-MS
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View Paper titled, A Data Driven Management Strategy to Reduce the Environmental Impact of Upstream Production Plants
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