Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Luca Cadei"'
Autor:
Gianmarco Rossi, Luca Cadei, Michele Bitetti, Rocco Gerardi, Davide Vaccari, Martino Ghetti, Marilena Forte, Laura Collura, Antonio Ricci
Publikováno v:
Day 2 Tue, November 01, 2022.
Energy Consumption, Energy Efficiency and GHG emission reduction are assuming a central role in Oil&Gas industry strategy, since every Company has embraced the transition into a low-carbon future. To reach this goal, international certification (like
Autor:
Gianmarco Rossi, Luca Cadei, Michele Bitetti, Rocco Gerardi, Davide Vaccari, Martino Ghetti, Alessandro Vavalà, Cristina Bottani, Antonio Ricci, Vittoria La Placa
Publikováno v:
Day 1 Mon, October 31, 2022.
In every industrial plant and in particular in a Giant Brownfield Oil Plant, asset integrity management plays a crucial role both in day-by-day activities and in future operations, and it helps to maximize the company value. This paper presents an in
Autor:
Martino Ghetti, Luca Cadei, Rocco Gerardi, Davide Vaccari, Gianmarco Rossi, Michele Bitetti, Marilena Forte, Laura Collura, Valentina D'Ottavio, Cristina Bottani, Antonio Ricci, Vittoria La Placa
Publikováno v:
Day 1 Mon, October 31, 2022.
The current oil and gas production scenario is characterized by high market volatility, increasing Energy Efficiency targets and subsequent requirements in operation excellence. This leads to an ever-increasing attention towards more efficient asset
Autor:
Mattia Silvestri, Michele Lombardi, Emiliano Mucchi, Luca Cadei, Giovanna Magnago, Marco Piantanida, Valentina D’Ottavio, Nguyen Van Tu, Simona Duma, Silvia Taddei, Annagiulia Tiozzo, Andrea Corneo, Lorenzo Lancia, Laura Rocchi, Pietro Coffari di Gilferraro
In recent years, pervasive digitalization has affected the industrial world, including the oil and gas sector. With more and more data becoming available, Machine Learning algorithms have become a promising tool to improve Predictive Maintenance oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::489fa4645882fcd945591880c7cd91e6
https://doi.org/10.3233/faia220069
https://doi.org/10.3233/faia220069
Autor:
Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, Danilo Loffreno, Andrea Corneo, Diletta Milana, Marco Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Publikováno v:
Day 3 Wed, March 23, 2022.
This paper reports the development and tests of an advance methodologies to predict Upstream plant risky events, such as flaring, applying an integrated framework. The core idea is to exploit Machine Learning and big data analytics techniques to tack
Autor:
Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, Danilo Loffreno, Andrea Corneo, Diletta Milana, Marco Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Publikováno v:
Day 3 Wed, March 23, 2022.
Energy companies are latecomers to digitization with respect to other business, but new technologies like Big Data, Cloud infrastructure and Artificial Intelligence offer great opportunities. Here we present an integrated approach to the digitalizati