About this course…
Petroleum Data Analytics: Big Data, Automation, Advanced Analytics and the Industrial Internet of Things meets Oil and Gas is a short course that focuses on the impact of digitization that has profoundly affected the energy industry including oil and gas (digital oilfield) supply chains and utilities (smart grids). More data is available from field and process instrumentation and control systems for detailed analysis to improve decision making at all levels, from the field to the board room. The Digital Oilfield is a reality. Lower commodity prices have added the need to improve efficiency of operations, to the existing drivers of a safe and environmentally benign operations footprint, effective recovery of reserves and an attractive return on investment for shareholders. Learn more…
This course will take a detailed look at the opportunities, challenges and specific requirements for petroleum data analytics for the energy industry. Specifically, the course explores the following topics:
- Evolution of the digital oilfield
- Convergence of OT (operational technology) and IT (information technology) systems
- Understanding of the data foundation for typical oil and gas exploration and production functions
- Information Intensity in Oil and Gas / Beyond Surveillance and Monitoring
- System Challenges and Barriers to Adoption
Who should attend?
The course is designed for individuals who are currently engaged with, or are interested in, the use of advanced analytics in the exploration and production areas of the oil and gas industry. Operators, service company and technology company personnel are welcome. The course is highly recommended for managers of newly formed data analytics, digital oilfield or data science programs and are developing their strategies and road maps. You should attend this course if you are:
- A petroleum engineer (or chemical or mechanical engineer working as a production engineer) involved in analysis, modeling or simulation of oil and gas production operations
- An information management professional or production technologists involved in supporting the use of data for analysis of production processes
- A geoscientist involved with the optimization of subsurface interpretation using new analytics techniques
- A data scientist just getting involved with the oil and gas industry and wanting a better background on the digital oilfield
- An analyst involved with current reporting and business intelligence (BI) responsibilities wanting to learn how to use more advanced analysis techniques
Instructors
- Jim Crompton
Mr. Crompton is a consulting subject matter expert in the digital oilfield and in the data foundation enabling use of data-driven analytical techniques for oil and gas applications. Learn more… - Elio Dean
Mr. Dean is an associate teaching professor at Colorado School of Mines focused on reservoir engineering, and who also teaches courses in petroleum economics and petroleum analytics. Learn more…
Continuing education credit
Colorado School of Mines will award 1.4 CEUs to those who complete this course.
Location
This course will be taught on the campus of Colorado School of Mines in Golden, Colorado USA. Learn more…
Registration
Registration opens soon!
Travel and accommodations
Registrants are responsible for their own travel arrangements, transportation, lodging, and meals. Additional information is available through the links below.
Further technical information
For more information about the course content, please contact:
Elio Dean
Assistant Professor, Colorado School of Mines
eldean@mines.edu
303.384.2419
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