Certified Digital Twin and AI Integration Specialist (CDTAI)® – Oil & Gas - International Board of Oil & Gas Professionals

• Understand the fundamentals of digital twin architecture and AI integration. • Learn how digital twins enhance asset reliability, maintenance, and optimization. • Use AI-driven simulations for drilling, refining, and pipeline network optimization. • Manage data governance, cyber resilience, and digital twin lifecycle management.

• Design, model, and deploy digital twin frameworks across multiple oil and gas assets. • Integrate AI and ML models into twin environments for predictive analysis and automation. • Analyze and interpret real-time IoT data for equipment health and production optimization. • Utilize digital twins for scenario planning, risk forecasting, and ESG reporting. • Lead enterprise-level digital transformation and AI integration projects in energy organizations

• Automation and Control Engineers • Process and Operations Engineers • Data Scientists and AI Specialists • Maintenance and Asset Reliability Managers • Digital Transformation Leaders • IoT Architects and System Integrators

• Certification Title : Certified Digital Twin and AI Integration Specialist (CDTAI)® – Oil & Gas • Awarding Body : International Board of Oil and Gas Professionals (IBOGP®) • Global Standards Alignment : ISO 29993:2017, ISO 21001:2018, ISO/IEC 42001 (AI Management Systems) • Assessment Format : 100 Multiple-Choice Questions | Duration: 90 Minutes | Passing Score: 70% • Mode : Online (Proctored) or In-Person • Credential Validity : 3 Years (Renewable via Continuing Professional Education) • Certificate Type : Digital Badge and Hard Copy Available

• Digital Twin Architect / Engineer • AI Operations Specialist • Predictive Maintenance Engineer • Industrial Data Scientist • Digital Transformation Manager • Smart Asset and Reliability Lead