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Introduction to the Digital Oilfield 2.0

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Course Credit: 0.4 CEU, 4.0 PDH

Segment #1 – Part of the “A Foundation for Petroleum Data Analytics Online Training Course Series”.

Introduction to the Digital Oilfield 2.0:

The turn of the 21st century brought about more affordable sensors, field automation and process control technology to the industry. At the time, the industry was enjoying high oil prices, although natural gas prices were declining due to major new supply discoveries in the Marcellus/Utica. New capital projects were designed, which collected large volumes and varieties of data. The availability of more data drove advances in workflow solutions that combined near-real-time data with structured data in order to produce the first predictive analytics solutions. This placed decision support for offshore drilling of complex wells, directional drilling for horizontal wells, equipment health for critical rotating equipment, water flood and steam flood optimization – onshore, at your fingertips, where your company experts lived. The arrival of more, real-time systems and different varieties of data stressed the traditional data infrastructure. Data marts, federated or virtual architectures, and workflow orchestration were some of the approaches tried to enable these new workflow demands. This was in the midst of a high-price environment. A good business case could be made to increase production now, or add reserves to produce later. The focus was on volumes, not cost. Projects were scaled down or abandoned once the bottom dropped out of the oil market; turning the focus to cost reduction.

Duration: 4 hours

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

• Emerging digital technologies
• IT and OT convergence
• Sensors and control systems (SCADA)
• Remote decision support environments
• Workflow automation
• Process optimization
• Industrial Internet of Things (IIoT)
• Big Data
• Digital core
• Five stages of digitization


A Foundation for Petroleum Data Analytics Online Training Course Series


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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 2 chapters
 4 quizzes

Course Chapters

  • 1Course Content and Objectives
    Media Type: Third_party

    Course Content This module consists of the following activities: Course Objectives; Demographics Survey (5 questions – 15 minutes), Self-Assessment (4 questions – 25 minutes); Video Recording (90 minutes), Post Assessment (5 questions - 30 minutes), Course Evaluation (5 minutes), and Certificate. Course Objectives: 1. A review of the objectives and results from the digital oilfield since 2000 and a discussion of what is different today including emerging digital technologies 2. Convergence of OT (operational technology) and IT (information technology) systems. From sensors and control systems (SCADA), to remote decision support environments, to workflow automation, to process optimization 3. The Industrial Internet of Things and Big Data Analytics for oil and gas, The search for the digital core and the five stages of digitization in oil and gas

  • 2Data Science and Digital Engineering Online Training Course
    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).


Earn credits by completing this course0.4 CEU credit4.0 PDH credits


James Crompton