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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.

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

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Course Content
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Course Objectives
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Demographics Survey
5 Questions
Self-Assessment
4 Questions  |  Unlimited attempts  |  0/4 points to pass
4 Questions  |  Unlimited attempts  |  0/4 points to pass Test your knowledge of the digital oilfield.
Assignment
Upload 1 files to pass.
Upload 1 files to pass. Upon completing the viewing / reading assignments, please submit a one or two paragraph assessment of what you learned. Please indicate which assignment (video / specific journal article) you will be reporting on. Click the "Submit Files" button to the right to upload your document.
Video Recording
Recorded 10/19/2018
Recorded 10/19/2018 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).
Post-Assessment Quiz
5 Questions  |  3 attempts  |  4/5 points to pass
5 Questions  |  3 attempts  |  4/5 points to pass You have three attempts to make 80% to pass this portion.
Course Evaluation
20 Questions
Certificate
0.40 CEU/4 PDH credits  |  Certificate available
0.40 CEU/4 PDH credits  |  Certificate available