| Date | Venue | Fee | |
|---|---|---|---|
| 29 Jun - 03 Jul 2026 | Dubai – UAE | $ 5,950 | Register Now |
| 24 Aug - 28 Aug 2026 | London - UK | $ 5,950 | Register Now |
| 28 Sep - 02 Oct 2026 | Dubai – UAE | $ 5,950 | Register Now |
| 12 Oct - 16 Oct 2026 | Jeddah – KSA | $ 5,950 | Register Now |
| 28 Dec - 01 Jan 2027 | Dubai – UAE | $ 5,950 | Register Now |
| 29 Mar - 02 Apr 2027 | London - UK | $ 6,950 | Register Now |
| 28 Jun - 02 Jul 2027 | Dubai – UAE | $ 5,950 | Register Now |
| 23 Aug - 27 Aug 2027 | London - UK | $ 6,950 | Register Now |
| 27 Sep - 01 Oct 2027 | Dubai – UAE | $ 5,950 | Register Now |
| 11 Oct - 15 Oct 2027 | Jeddah – KSA | $ 5,950 | Register Now |
| 27 Dec - 31 Dec 2027 | Dubai – UAE | $ 5,950 | Register Now |
About the Course
Digital transformation is redefining oil & gas operations, with Artificial Intelligence (AI) emerging as a key enabler of improved efficiency, accuracy, and operational control across upstream, midstream, and downstream activities. The growing availability of data from sensors, control systems, and asset monitoring platforms provides significant opportunities to optimise production, anticipate equipment behaviour, and support faster, more informed decision-making. However, many organisations continue to face challenges in converting data into actionable insights and integrating AI capabilities into established operational and engineering processes.
This interactive 5-day Artificial Intelligence (AI) in Oil & Gas Operations training course equips delegates with the knowledge and practical understanding required to apply AI technologies within operational environments. Delegates will examine data-driven decision models, predictive analytics, and machine learning applications alongside asset optimisation, production forecasting, and maintenance strategies. The programme also addresses AI integration with SCADA and control systems, data management considerations, and operational risks associated with AI adoption. Emphasis is placed on enhancing operational performance, strengthening asset reliability, and supporting data-driven decision-making across critical functions. Upon completion, delegates will be equipped to evaluate, apply, and manage AI-enabled solutions that improve efficiency, reduce operational risk, and support sustainable performance.
Core Objectives
The delegates will achieve the following objectives:
- Examine operational data environments and identify AI application opportunities
- Differentiate AI techniques applicable to oil & gas operational challenges
- Build data-driven approaches to support operational decision processes
- Establish predictive models for asset performance and maintenance planning
- Utilise AI tools to enhance production and operational efficiency
- Track system performance and ensure reliability of AI-driven outputs
- Advance operational capability through intelligent automation
Training Approach
This training course adopts a structured and practical approach, combining expert-led sessions, guided discussions, and scenario-based exercises to support the application of AI concepts within oil & gas operations. Emphasis is placed on real-world operational use cases, enabling delegates to connect AI technologies with practical industry challenges.
The Attendees
This training course is suitable for professionals involved in operations, engineering, digital transformation, and data-driven decision-making within the oil & gas industry.
A broad range of professionals will benefit, including but not limited to:
- Operations and Production Engineers
- Maintenance and Reliability Engineers
- Process and Control Engineers
- Data and Digital Transformation Specialists
- Asset Integrity and Inspection Engineers
- Project and Technical Managers
- IT and Automation Professionals
Daily Discussion
DAY ONE: AI FOUNDATIONS AND OPERATIONAL DATA CONTEXT
- AI Concepts and Operational Relevance
- Data Sources Across Oil & Gas Operations
- Data Quality and Integrity Challenges
- Machine Learning Principles
- Data Integration Across Systems
- AI Use Cases in Oil & Gas
DAY TWO: DATA ANALYTICS AND MODEL DEVELOPMENT
- Data Analytics Techniques
- Model Development and Training
- Pattern Recognition in Operational Data
- Time Series Analysis for Production
- Anomaly Detection Techniques
- Model Accuracy and Validation
DAY THREE: AI APPLICATIONS IN PRODUCTION AND OPERATIONS
- Production Optimisation Using AI
- Reservoir and Production Forecasting
- Process Performance Enhancement
- Drilling Data Analysis
- Real-Time Monitoring Systems
- Decision Support Systems
DAY FOUR: PREDICTIVE MAINTENANCE AND ASSET RELIABILITY
- Predictive Maintenance Approaches
- Equipment Failure Prediction
- Condition Monitoring and Diagnostics
- Reliability-Centred Maintenance Integration
- Asset Performance Enhancement
- Maintenance Decision Support
DAY FIVE: AI INTEGRATION AND OPERATIONAL RISK CONTROL
- AI Integration with SCADA Systems
- Intelligent Automation and Control
- Data Governance and Cybersecurity
- AI Implementation Constraints
- Operational Risk and Model Reliability
- AI Strategy in Oil & Gas Operations
Certificate Awarded
Upon successful completion of this training course, participants will be awarded a Certificate of Completion from XCalibre Training Centre, acknowledging their accomplishment. This certificate serves as a testament to their dedication to developing their skills and advancing their expertise in their respective fields.
