Professional training course · OG-060
Artificial Intelligence and Data Analytics in Oil and Gas
Oil and gas companies generate enormous volumes of seismic, well, production, maintenance and commercial data. Artificial intelligence and analytics can turn this data…
- 5 daysClassroom
- 15Upcoming dates
- 9Cities
- £2,250Fees from
Course overview
Why Attend
Oil and gas companies generate enormous volumes of seismic, well, production, maintenance and commercial data. Artificial intelligence and analytics can turn this data into faster decisions, higher recovery and lower costs.
This LLMI course explains machine learning, generative AI and analytics applications across exploration, drilling, production, maintenance, HSE and trading. Participants learn how to identify high-value use cases, prepare data, evaluate models, manage risks and scale AI solutions.
Hands-on demonstrations and case studies make the content practical for engineers and managers without advanced programming skills.
Course Objectives
Explain AI, machine learning and analytics concepts
Identify AI use cases across the oil and gas value chain
Prepare and assess data for analytics
Evaluate model performance and limitations
Manage AI risks and governance
Plan and scale AI initiatives
Target Audience
Engineers and geoscientists
Data analysts and data scientists in energy
Operations and maintenance managers
Digital transformation teams
HSE and planning professionals
Managers sponsoring AI projects
Course Methodology
Concept explanations
Demonstrations and guided exercises
Industry case studies
Use-case workshops
Group presentations
Course outline
-
1Day 1: AI and Analytics Fundamentals
- Data in oil and gas
- Analytics types
- Machine learning basics
- Generative AI
- Limitations
- Exercise: Identifying data assets
-
2Day 2: Subsurface and Drilling Applications
- Seismic interpretation
- Reservoir characterisation
- Drilling optimisation
- Well planning
- Case study: ML in drilling
- Exercise: Use-case scoring
-
3Day 3: Production and Maintenance Applications
- Production forecasting
- Anomaly detection
- Predictive maintenance
- Energy optimisation
- HSE analytics
- Lab: Analysing production data
-
4Day 4: Data and Model Management
- Data preparation
- Feature engineering basics
- Model evaluation
- Explainability
- MLOps overview
- Workshop: Model evaluation
-
5Day 5: Scaling AI
- Governance and ethics
- Skills and organisation
- Vendor selection
- Value measurement
- Roadmap
- Capstone: AI use-case proposal
Schedule
Dates and fees
15 upcoming dates in 9 cities. Fees are per delegate; bring colleagues and every seat is discounted.
No dates in this city right now. Request a quotation and we will suggest the nearest date.
Questions
Frequently asked questions
How long is the Artificial Intelligence and Data Analytics in Oil and Gas course?
The course runs over 5 days of classroom training, usually Monday to Friday.
When is the next Artificial Intelligence and Data Analytics in Oil and Gas course?
The next public date is 16 - 20 Nov 2026 in Kuala Lumpur. There are 15 upcoming dates in total.
Where is this course held?
Upcoming sessions run in Kuala Lumpur, Barcelona, Istanbul, London, Munich, Amsterdam, Rome, Paris, Frankfurt.
How much does the course cost?
Fees start from £2,250 per delegate, depending on the city. Fees include tuition and course materials.
Do participants receive a certificate?
Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.
Can this course be delivered in-house for our team?
Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.
Course information last updated 14 November 2026.
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