Artificial Intelligence and Data Analytics in Oil and Gas (OG-060) Training Course

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 or online

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

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.

Can I take Artificial Intelligence and Data Analytics in Oil and Gas online?

Yes. Every date can also be joined live online in a virtual classroom with the trainer, for £1,280 per participant. Choose "Live online" in the dates table when you register.

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.

Artificial Intelligence and Data Analytics in Oil and Gas

Course overview

Course outline

Dates and fees

Frequently asked questions

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