Lorenzo Raimondi

ORCID: 0009-0006-8909-5983
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About
Contact & Profiles
Research Areas
  • Geological Modeling and Analysis
  • Oil and Gas Production Techniques
  • Time Series Analysis and Forecasting
  • Image Processing and 3D Reconstruction
  • Fault Detection and Control Systems
  • Methane Hydrates and Related Phenomena
  • Reservoir Engineering and Simulation Methods
  • Drilling and Well Engineering

Eni (Italy)
2020-2024

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10.2139/ssrn.4768319 preprint EN 2024-01-01

Condition-based monitoring is a key element to minimize plant upsets and production losses, guaranteeing at the same time safety asset integrity, with final goal of improving operational excellence. A challenge for this purpose capability anticipate unexpected behaviors, such as undesired trends or spikes in sensor measurements, temperatures vibrations, which might lead equipment failures. For goal, we implemented some innovative Deep Learning algorithms predict future trend variables...

10.2523/iptc-20070-abstract article EN International Petroleum Technology Conference 2020-01-11

Abstract Reservoir Management requires the definition of a strategy that analyzes risk assessment to identify surveillance activities and corrective measures. In Eni, best practice has been established regulate this through Plan (RMP). This paper will present application Natural Language Processing (NLP) technologies improve RMP. Results be discussed, highlighting benefits advantages in extracting cross-document information running comparisons between different RMPs. refers branch computer...

10.2118/209961-ms article EN SPE Annual Technical Conference and Exhibition 2022-09-26
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