Speaker

João Raulino is a Product Owner in Production Performance at TotalEnergies, where he works at the intersection of operations and digital transformation in the energy sector. With a background in Petroleum Engineering from the Polytechnic School of the Federal University of Rio de Janeiro, João focuses on leveraging data-driven solutions to enhance well performance and optimize production workflows across assets.

Talk Description

This presentation introduces a data-driven approach to well production optimization using dynamic operating envelopes. By combining real-time sensor data with operational logs and AI-based contextual interpretation, the method turns monitoring into actionable, field-relevant recommendations. The workflow integrates multi-source well performance data, applies machine learning to detect deviations and optimize operating guidelines, and continuously updates envelopes as operating conditions evolve—laying the groundwork for autonomous well production optimization.

What you will leave with (our promise):

• A practical mental model of dynamic operating envelopes and how they translate monitoring into actionable operating recommendations (not just dashboards).

• A concrete workflow blueprint: how to combine real-time sensor signals + operational logs and apply AI to detect deviations and continuously update envelopes.

• 3–5 field-ready questions you can take back to your team to assess readiness (data sources, governance, alerting, deployment path).

Network outcome: Meet peers working on production performance, surveillance, optimization, digital/AI, and exchange “what actually works” in the field during the after-work networking session.