Online Live Streaming Course
May 5 to 9 2025
Duration : 20 hours
Objective:
This course provides a foundational understanding of how Big Data and Analytics are transforming the oil & gas industry. Participants will explore data-driven decision-making, predictive analytics, machine learning applications, and real-world case studies. The course is designed to equip professionals with the knowledge to leverage data science for optimizing exploration, production, and operational efficiency.
Who Should Attend:
- Petroleum engineers
- Reservoir and production engineers
- Data analysts in the energy sector
- Geoscientists working with subsurface data
- Business professionals interested in digital transformation
- Graduate students in petroleum engineering or data science
Course Outline (20 Hours Total)
Module 1: Introduction to Big Data in Oil & Gas (2 Hours)
- What is Big Data? Key concepts and industry relevance
- Digital transformation in oil & gas operations
- Case studies of data-driven success
Module 2: Data Acquisition, Management, and Storage (3 Hours)
- Sources of data: subsurface, production, drilling, and operational data
- Data governance, quality, and security challenges
- Cloud computing and data architecture in oil & gas
Module 3: Data Analytics and Machine Learning Basics (3 Hours)
- Descriptive, predictive, and prescriptive analytics
- Introduction to machine learning algorithms
- Applications of AI/ML in upstream, midstream, and downstream sectors
Module 4: Data-Driven Decision Making in Reservoir Engineering (3 Hours)
- Integrating data analytics with reservoir simulation
- Optimizing production through real-time data analysis
- Decline curve analysis and predictive modeling
Module 5: Drilling and Production Analytics (3 Hours)
- Predictive maintenance and equipment failure prevention
- Drilling optimization using real-time analytics
- Well performance monitoring and anomaly detection
Module 6: Advanced Data Visualization and Business Intelligence (3 Hours)
- Data storytelling and visualization techniques
- Business intelligence tools (Power BI, Tableau, Python, etc.)
- Dashboards for real-time decision-making
Module 7: Future Trends and Challenges in Oil & Gas Analytics (3 Hours)
- The role of IoT, blockchain, and automation in oil & gas
- Sustainability and environmental monitoring with Big Data
- Future challenges and opportunities in digital oilfields
