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Sector:
Oil and Gas - Upstream/Production
Technical Focus Area:
Digital & Energy Transition
About the Course
This course provides advanced training in data analytics and artificial intelligence applications for upstream operations, covering how data is managed and structured to support analytics initiatives. It is designed for experienced professionals seeking to apply data-driven approaches to upstream challenges.
Participants examine machine learning fundamentals and AI applications in drilling and production, building practical experience with data-driven decision-making frameworks. Case examples illustrate how analytics initiatives have improved upstream operational performance.
Learning Milestones
By the end of this course, participants will be able to:
- Explain data management principles for upstream operations.
- Describe machine learning applications relevant to upstream.
- Apply data-driven decision-making frameworks.
- Evaluate data quality and readiness for analytics initiatives.
- Identify high-value analytics use cases in drilling and production.
- Communicate analytics findings to non-technical stakeholders.
Professional Audience
This course is ideal for experienced professionals applying analytics to upstream operations, including:
- Data scientists and analysts
- Reservoir and production engineers
- Drilling engineers exploring analytics applications
- Digital transformation professionals
- Technical managers sponsoring analytics initiatives
Modular Syllabus
Data Management for Upstream Operations
Upstream data types and sources
Data governance principles
Data quality assessment methods
Data architecture considerations
Common data management challenges in upstream
Course Dates & Prices
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