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Application of Petroleum Data Analytics to Upstream Oil and Gas Use Cases

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Course Credit: 0.4 CEU, 4 PDH

Segment #3 – Part of the “A Foundation for Petroleum Data Analytics Online Training Course Series”.

Application of Petroleum Data Analytics to Upstream Oil and Gas Use Cases:

Analytics is not new to the oil & gas industry. From the early days of seismic acquisition / processing, well log interpretation / reservoir simulation, industry experts have used various techniques that tested the limits of existing computer power in order to analyze and model in-field data to make better decisions. However, with the advent of Big Data (increase in volume, variety and velocity), high performance computing, advanced statistics and artificial intelligence, data analytics’ capabilities for petroleum engineering and earth science have grown exponentially.

Duration: 4.0 hours

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

Content:
• Information intensity
• Surveillance
• Monitoring
• Digital twin
• Predictive analytics
• Cyber security
• Complex well paths
• Advanced analytics
• Directional drilling
• Smart fracking
• Basin analysis (sweet-spotting)
• Workflows
• Data science

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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
Cases

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 2 chapters
 4 quizzes

Course Chapters

  • 1Course Content and Objectives
    Media Type: Third_party

      Application of Petroleum Data Analytics to Upstream Oil and Gas Use Cases Description: Analytics is not new to the oil & gas industry. From the early days of seismic acquisition / processing, well log interpretation / reservoir simulation, industry experts have used various techniques that tested the limits of existing computer power in order to analyze and model in-field data to make better decisions. However, with the advent of Big Data (increase in volume, variety and velocity), high performance computing, advanced statistics and artificial intelligence, data analytics’ capabilities for petroleum engineering and earth science have grown exponentially. Duration: 4.0 hours Expiration: This course expires 12 months from date of registration. Course Objectives:

    1. Information Intensity in Oil & Gas / Beyond Surveillance and Monitoring/ Digital Twin. Review of a practical use cases for oil and gas (predictive analytics for critical equipment, use of analytics to drill complex wellbores, optimization of completion techniques for unconventional reservoirs
    2. Application of cyber security issues to the digital oilfield
    3. System Challenges and Barriers to Adoption, what oil and gas can learn from other industries
    Content:
    • Information intensity
    • Surveillance
    • Monitoring
    • Digital twin
    • Predictive analytics
    • Cyber security
    • Complex well paths
    • Advanced analytics
    • Directional drilling
    • Smart fracking
    • Basin analysis (sweet-spotting)
    • Workflows
    • Data science
    This module consists of the following activities: Course Objectives; Demographics Survey (5 questions – 15 minutes), Self-Assessment (4 questions – 25 minutes); Reading Assignment (60 minutes); Video Recording (90 min), Post Assessment (5 questions - 30 minutes), Course Evaluation (5 minutes), and Certificate.

  • 2Video Recording
    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.