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A Review of Data Analytics Techniques and Data Management Infrastructure

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Course Credit: 0.4 CEU, 4 PDH

Segment #2 – Part of the “A Foundation for Petroleum Data Analytics Online Training Course Series”.

A Review of Data Analytics Techniques and Data Management Infrastructure:

Data volume is exploding — over 90% of today’s data was created in the last few years and there is an exponential increase in new types of data, with mobile, social media, video and the Industrial Internet of Things (IIoT) adding to the growth of seismic, reservoir, drilling, production, and engineering data.

Duration: 4.0 hours

Expiration: This course expires 12 months from date of registration.

Content:
• Volume, Velocity and Variety
• Data federation
• Data integration
• Data modeling
• Regression analysis
• Neural networks
• Machine learning and deep learning
• Business intelligence
• Data visualization (dashboards, data story telling)
• Artificial intelligence
• Big Data
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A Foundation for Petroleum Data Analytics Online Training Course Series

Description:

The impact of digitization has profoundly affected the energy industry, including the oil and gas industry (Digital Oilfield), supply chains and utilities (smart grids). More data is available from the field and process instrumentation and control systems than ever before for detailed analysis to improve decision making at all levels, from the field to remote decision support centers to the boardroom. The Digital Oilfield is a reality, but it is also evolving with the application of data science techniques. While oil prices have recovered from recent lows, the threat of a return to lower commodity prices are driving the need to improve productivity and efficiency of operations (operational excellence), to the existing drivers of a safe and environmentally benign operations footprint. These drivers along with the need for effective recovery of reserves, at an attractive return on investment for shareholders are the current focus of industry leaders.

Duration: 12 hours total

Expiration: This course expires 12 months from date of registration.

Content (3 segments):

• Introduction to the Digital Oilfield 2.0
• A Review of Data Analytics Techniques and Data Management Infrastructure
• Application of Petroleum Data Analytics to Upstream Oil and Gas Use
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 4 chapters
 5 quizzes

Course Chapters

  • 1Course Content
    Media Type: PDF

    This course consists of the following activities:

    • Course Objectives
    • Demographics Survey (5 questions – 15 minutes)
    • Self-Assessment (4 questions – 25 minutes)
    • Reading Assignment (approximately 60 minutes)
    • Video Recording (90 min)
    • Post Assessment (5 questions - 30 minutes)
    • Course Evaluation (5 minutes)
    • and Certificate
    User must confirm that they have read this information to continue.

  • 2Course Objectives Acknowledgement
    Media Type: PDF

    User must confirm they have read the acknowledgement text to continue.

  • 3Assignments
    Media Type: Third_party

    Upon completing the reading assignments, please submit a one or two paragraph assessment of what you learned by completing the survey. Please indicate which assignment paper you will be reporting on.

  • 4Video Recording - A Review of Data Analytics Techniques and Data Management Infrastructure
    Media Type: Video

    Watch the video recording by Jim Crompton, Reflections Data Consulting and Adjunct Professor, CO School of Mines and Ayush Rastogi, PhD student Colorado School of Mines (approximately 90 minutes).

Credits

Earn credits by completing this course0.4 CEU credit4 PDH credits

Speakers

James CromptonSpeakerJim retired from Chevron in 2013 after almost 37 years with the major International Oil & Gas Company. After moving from Houston to Colorado Springs, Colorado, Jim established the Reflections Data Consulting LLC to continue his work in the area of data management and analytics for Exploration and Production industry.

Jim was a Distinguished Lecturer for the Society of Petroleum Engineers in 2010-2011, speaking on the topic of “Putting the Focus on Data.” He is a frequent speaker at SPE webinars and conferences on Digital Oilfield/Intelligent Energy and the Data Foundation. His most recent topics include “Measure what Matters” (regarding to methane emissions management) and “The Digital Oilfield 4.0.ai” (on recent technology advances in upstream oil and gas production operations). His interests lie in the full spectrum of the information value chain from data capture, data management, data visualization (telling stories with data), data access, modeling and analytics, simulations, and cybersecurity.