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GIL

Oil & Gas Series · Cohort 3

Technical Teams

Hands-on capability in real-time data, digital twins and safe use of AI in operations.

Digital twins and AI

  • Primary location
  • Alternative location

Who should attend

  • Field officers, technical individuals and professionals across the exploration and production value chain
  • Health, safety and environment (HSE) professionals
  • Digital, IT and operational technology teams

What participants leave with

  • Understand how a digital twin is built, from sensors on the rig to dashboards
  • Build and read real-time production dashboards from sensor data
  • Run a predictive-maintenance model and turn its output into a maintenance decision
  • Use a digital twin to test an operational change safely before it reaches equipment
  • Recognise when an AI recommendation should be stopped, and apply governance controls
  • Treat HSE data as part of the same operating picture as production data

Modules

  1. 01Reservoir and drilling excellence
  2. 02Production and facilities
  3. 03Health, safety and environment
  4. 04Digital oilfield and real-time dashboards
  5. 05Digital twin and predictive maintenance
  6. 06AI governance

Format

Five days, ending in the Digital Twin & AI Governance Lab. Participants build a working digital twin on a realistic simulated dataset, so no organisation’s current infrastructure is a barrier to taking part.

Leading faculty

Every cohort is led by members of our international faculty: practitioners and academics in leadership, risk, finance, energy economics and technology.

Meet the faculty