Online · Self-pacedFreeIT & SoftwareBeginnerEnglish
Data Analytics and AI for Oil and Gas
A practical introduction to data analytics and artificial intelligence for engineers, geoscientists, operations, maintenance and HSE staff, and managers in oil and gas, with no programming required. It covers oilfield data and its quality problems, basic statistics, dashboards, machine learning concepts, real industry use cases and generative AI. It ends with how to run an analytics project and govern data and models safely.
Taught by iCompetent
- Modules
- 7
- Lessons
- 33
- Duration
- 4h 59m
- Level
- Beginner
- Quizzes
- 7 graded
- Enrolled
- 2
Industries
Course content
7 modules · 33 lessons · 4h 59m
Why data matters in oil and gas operations, where it comes from, the main kinds of data, and the four types of analytics that turn data into decisions.
- Why Data Matters in Oil and GasPreview8 min
- Where Oilfield Data Comes From9 min
- The Data Landscape: Five Kinds of Data9 min
- Four Types of Analytics9 min
- Data in oil and gas — quiz6 questions · pass 70%
Topics covered
Data Analytics
Artificial Intelligence
Machine Learning
Data Quality
Generative AI
Predictive Maintenance
Data Governance
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