| Disertante | Presentación |
| FABIO DAVID CHIARADINI |  |
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RESUMEN DE LA CONFERENCIA:
Abstract:
Un recorrido por tecnologías que convierten video en información accionable mediante IA y ML. Detección temprana de riesgos, fugas, intrusiones, fallas y comportamientos no seguros, con visualizaciones simples para la toma de decisiones. Ejemplos reales en la industria.
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Lecturer:
Fabio David Chiarandini is a Field & Reservoir Engineering Manager – AI applications in oil & gas fields.
- 34 years experience in Oil and Gas.
- 18 years with Chevron Corporation.
- International experience in conventional and unconventional reservoirs.
- Gaffney-Cline and Associates Consultant.
- Artificial intelligence & Machine Learning. Leading Business Growth Program – Massachusetts Institute of technology.
- Asset Management for Energy Companies – Director at UCEMA.
- Master in Reservoir Engineering.
- Commercial and operations Director for a robust AI and Mlsolutions.
- Subject matter expert in the application of well reliabilityand optimization process. Design and implement processesto evaluate and rank new well’s locations, workovercandidates, disposal well selection and new technologies (video analytics in oil and gas fields).
- Asset Manager Experience responsible for thedevelopment of blocks for appraisal, new developmentsand mature fields. Field and reservoir eng. support inoperated and non operated fields to enhance good communications and alignment between multidisciplinaryteams, decision makers and stakeholders.
- Leader and mentor in Reservoir Engineer activities,surveillance plan, uncertainty and risk management plan, production forecast and asset development plan.
- Standardization of reserves/resources processes forreserves auditing.
- Economic and Decision Analysis advisor.
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