Project Info
Data Foundation for research and educational data sets
James Crompton
jamescrompton@mines.edu
Motivation: There is growing interest in data analytics and programming in many disciplines on campus. There is growing interest in potential employers looking for graduates with data handling and analytics experience and exposure to emerging digital technologies. Several departments are responding with new classes, minors and revised curriculum (including: Petroleum Engineering: minor in data analytics, new Geostatistics class, Petroleum Data Analytics online graduate certificate; Applied Math and Computer Science, Geophysics and Geology)
Challenge: Data sets for these courses are usually found from public sources or from private data donations but each set is unique and usually managed as a private folder by each professor or research project. There is new interest in many industries around sharing data and in hosting shared data sets for interdisciplinary use. Efforts like the OSDU have approached Mines with the opportunity to use their data architecture for managing subsurface data across the campus and the Petroleum Engineering Department has a relationship with OSISoft's Academic Hub for a platform for hosting shared data sets.
Opportunity: to work with campus experts on specific data sets to create a common meta data glossary (or catalog) to link and integrate these isolated data sets into a data resource for a number of courses and research programs. This project will give the student the opportunity to learn the different technical languages and standards of many different disciplines and the new data architecture (cloud computing and data) that enables advanced data analytics.
More Information:
Grand Challenge: Advance personalized learning
OSDU: Open subsurface Data Universe https://osduforum.org/
OSISoft Academic Hub https://academic.osisoft.com/
Equinor Valve Data Set Download https://www.equinor.com/en/what-we-do/digitalisation-in-our-dna/volve-field-data-village-download.html
Primary Contacts:
Professor of Practice James Crompton, Petroleum Engineering Department
Student Preparation
Qualifications
Interest in subsurface and petroleum engineering data. Interest in cloud computing and data processing techniques. Interest in advanced data analytics and data science. Interest in design and architecture from a computational and data perspective.
TIME COMMITMENT (HRS/WK)
4
SKILLS/TECHNIQUES GAINED
Data architecture, data standards, cloud data managing, SQL data management programming techniques, time series data management techniques.
MENTORING PLAN
I have been working in this area for about 20 years (many in industry before I joined the CSM faculty). I will personally work with this student to set objectives, investigate several data integration solutions, including helping student to work with industry and campus experts. I will be able to get the student started on a practical goal and help to answer any questions they have along the way.
PREFERRED STUDENT STATUS
Junior