Auriga Consulting s.r.l. is an Engineering Company that designs, realizes and develops on-shore and off-shore plants or systems, in Italy or abroad, for several industries: Oil & Gas, Chemical and Petrochemical, Pharmaceutical, Power Plant, Pipelines, Water Treatment, and so on.
Auriga Consulting is capable to provide Engineering and/or Consulting services about
- Safety and Reliability during the Plant Design (Loss Prevention and Health, Safety and Environmental Division),
- Instrumentation, Automation, Control and Telecommunication systems of the processes (Instrumentation and Automation Division).
Moreover, Auriga Consulting is active in important Research and Development Projects (Research and Development Division).
Auriga Consulting is organized as a flexible and lively structure in order to guarantee a prompt response also to the needs of complex multi-disciplinary projects.
The Auriga Consulting staff is composed of Engineers, Designers and Draftsmen, in addition to qualified personnel for Project Control, Secretary and Administration.
Ing. Benucci Stefania
Ms. Benucci is the Managing Director and the Health, Safety and Environmental Manager of Auriga Consulting.
Ms. Benucci earned the Chemical Engineer degree, “Safety and Environment” Specialization, at the Polytechnic of Milan, in Italy. Ms. Benucci has been tutor of different HSE specialists and she has participated to several European Research Projects.
She has worked with all the most important Oil & Gas Companies (for instance, TOTAL, STATOIL, ENI, Saipem, ABB, Chevron, Blue Stream Pipeline Company, Burullus Gas Company, Sonatrach, ENEL, Edison, STOGIT, Techint, Foster Wheeler, Rosetti Marino, Polimeri Europa, Renco, Bonatti, Basis Engineering, Progetti Europa & Global, and so on) both at on-shore and off-shore projects, managing all the HSE/Loss Prevention Engineering activities, coordinating and/or developing Risk Analyses, Computational Fluid Dynamics (CFD) Studies, Hazard Identification Analyses, Reliability and Availability Studies, and Best Alternative Selections by means of the Analytic Hierarchy Process.