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A Foundation for Petroleum Data Analytics

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: 19 hours total 

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

Content:

  • 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

Click on the "content" tab above to get individual details for each course.

You may register for the entire series or each course individually.

Presented by Jim Crompton, Reflections Data Consulting/Adjunct Professor, CO School of Mines.

1.9 CEUs and 19 PDHs offered.

Members : USD 300.00

Non-members : USD 400.00

  • Introduction to the Digital Oilfield 2.0

    Contains 9 Component(s), Includes Credits

    The turn of the 21st century brought about more affordable sensors, field automation and process control technology to the industry.

    Description: 

    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: 10.5 hours

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

    Content: 

    • 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

    To purchase this course as part of the series, go to: A Foundation for Petroleum Data Analytics

    Jim Crompton

    Speaker

    Jim retired from Chevron in 2013 after almost 37 years. After moving to Colorado Springs, Colorado, Jim established the Reflections Data Consulting LLC to continue his work in the area of data management and analytics for the Oil & Gas 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 conferences on Digital/Intelligent Energy. His interests lie in the full spectrum of the information value chain from data capture, data management, data visualization, data access, modeling and analytics, simulations and serious gaming.

    Jim graduated from the Colorado School of Mines (BS in Geophysical Engineering in 1974 and MS in Geophysics in 1976) before joining Chevron in Denver, Colorado.  He later earned an MBA degree (1996) from Our Lady of the Lake University (San Antonio, Texas).

    In 1999, Crompton was elected to the position of chair of the general committee of PIDX (Petroleum Industry Data Exchange), the API electronic commerce subcommittee.  Jim was able to influence the direction of the standards setting activities towards emerging technologies, such as XML, and new electronic business models in the energy industry.

    In acknowledgement of his contributions in applications of information technology to business problems, Jim was named a Chevron Fellow in 2002. In 2013, Jim co-authored a book, titled The Future Belongs to the Digital Engineer with Dr. Dutch Holland, focusing on the issues of the impact of emerging digital technology on oil and gas operations.

    In 2017, Jim was named as the PNEC Cornerstone award winner. Jim was selected to be on the board of the SPE Digital Energy Technology Section (DETS) and is chair of the Digital Transformation committee under DETS. Starting January, 2018, Jim teaches a graduate level course in “Petroleum Data Analytics” at the Colorado School of Mines.

    1.1 CEUs and 11 PDHs offered.

    Members : USD 115.00

    Non-members : USD 150.00

    To purchase this course as part of the series, go to: A Foundation for Petroleum Data Analytics

  • A Review of Data Analytics Techniques and Data Management Infrastructure

    Contains 9 Component(s), Includes Credits

    Data volume is exploding — more than 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 adding to the growth of seismic, reservoir, drilling, production, and engineering data.

    Description: 

    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

    To purchase this course as part of the series, go to: A Foundation for Petroleum Data Analytics

    Jim Crompton

    Speaker

    Jim retired from Chevron in 2013 after almost 37 years. After moving to Colorado Springs, Colorado, Jim established the Reflections Data Consulting LLC to continue his work in the area of data management and analytics for the Oil & Gas 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 conferences on Digital/Intelligent Energy. His interests lie in the full spectrum of the information value chain from data capture, data management, data visualization, data access, modeling and analytics, simulations and serious gaming.

    Jim graduated from the Colorado School of Mines (BS in Geophysical Engineering in 1974 and MS in Geophysics in 1976) before joining Chevron in Denver, Colorado.  He later earned an MBA degree (1996) from Our Lady of the Lake University (San Antonio, Texas).

    In 1999, Crompton was elected to the position of chair of the general committee of PIDX (Petroleum Industry Data Exchange), the API electronic commerce subcommittee.  Jim was able to influence the direction of the standards setting activities towards emerging technologies, such as XML, and new electronic business models in the energy industry.

    In acknowledgement of his contributions in applications of information technology to business problems, Jim was named a Chevron Fellow in 2002. In 2013, Jim co-authored a book, titled The Future Belongs to the Digital Engineer with Dr. Dutch Holland, focusing on the issues of the impact of emerging digital technology on oil and gas operations.

    In 2017, Jim was named as the PNEC Cornerstone award winner. Jim was selected to be on the board of the SPE Digital Energy Technology Section (DETS) and is chair of the Digital Transformation committee under DETS. Starting January, 2018, Jim teaches a graduate level course in “Petroleum Data Analytics” at the Colorado School of Mines.

    0.4 CEUs and 4 PDHs offered.

    Members : USD 115.00

    Non-members : USD 150.00

    To purchase this course as part of the series, go to: A Foundation for Petroleum Data Analytics

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

    Contains 9 Component(s), Includes Credits

    Analytics is not new to the oil & gas industry. From the early days of seismic acquisition and processing, well log interpretation and reservoir simulation, industry experts have used various techniques up to the limit of existing computer power, to analyze and model data recorded in the field to make better decisions.

    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.

    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

    To purchase this course as part of the series, go to: A Foundation for Petroleum Data Analytics

    Jim Crompton

    Speaker

    Jim retired from Chevron in 2013 after almost 37 years. After moving to Colorado Springs, Colorado, Jim established the Reflections Data Consulting LLC to continue his work in the area of data management and analytics for the Oil & Gas 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 conferences on Digital/Intelligent Energy. His interests lie in the full spectrum of the information value chain from data capture, data management, data visualization, data access, modeling and analytics, simulations and serious gaming.

    Jim graduated from the Colorado School of Mines (BS in Geophysical Engineering in 1974 and MS in Geophysics in 1976) before joining Chevron in Denver, Colorado.  He later earned an MBA degree (1996) from Our Lady of the Lake University (San Antonio, Texas).

    In 1999, Crompton was elected to the position of chair of the general committee of PIDX (Petroleum Industry Data Exchange), the API electronic commerce subcommittee.  Jim was able to influence the direction of the standards setting activities towards emerging technologies, such as XML, and new electronic business models in the energy industry.

    In acknowledgement of his contributions in applications of information technology to business problems, Jim was named a Chevron Fellow in 2002. In 2013, Jim co-authored a book, titled The Future Belongs to the Digital Engineer with Dr. Dutch Holland, focusing on the issues of the impact of emerging digital technology on oil and gas operations.

    In 2017, Jim was named as the PNEC Cornerstone award winner. Jim was selected to be on the board of the SPE Digital Energy Technology Section (DETS) and is chair of the Digital Transformation committee under DETS. Starting January, 2018, Jim teaches a graduate level course in “Petroleum Data Analytics” at the Colorado School of Mines.

    0.4 CEUs and 4 PDHs offered.

    Members : USD 115.00

    Non-members : USD 150.00

    To purchase this course as part of the series, go to: A Foundation for Petroleum Data Analytics