Jun. 21 - Jul. 24, 2022


Description

 

Geothermal energy is poised to be a key contributor in the shift to a sustainable energy future. The PIVOT 2022 SPE Datathon is going to challenge participants to solve a geothermal engineering problem using real field data from the Utah FORGE Project. Participants are going to use modern machine learning methods to create predictive models to aid future geothermal energy production. Participants are going to work on one of the largest geothermal datasets assembled including never before analyzed data. They will leverage their combined engineering and data skillsets to generate actionable insights to help solve the real-world design problem.

 

First week of the competition will be for networking and team creation. The competition will start on June 27th, 2022.

 

More details regarding prizes and data for the competition will be announced shortly.

 

Rules
1. Team size. Teams should have at least 1 people and no more than 7 members. 
2. No Plagiarisation. Plagiarisation is not acceptable. Learning from existing resources online and using open-source code is accepted.
3. Frameworks. You can only use open source frameworks.
4. Open Source. The workflow, codes, and presentations prepared as part of Pivot Datathon will be open source.
5. Intellectual property. SPE, Pivot, and Datathon Sponsors make no claim over intellectual property generated during the event. 
7. Social Media Disclosure. By taking part in the event, you agree to allow SPE and Pivot Datathon committee to include mention of your participation in the event, and to appear in photos and video of the event. Personal information will not be made public without individual consent.
8. Rules. SPE and Pivot Datathon committee reserve the right to change the rules at any time.



Organizer

SPE Gulf Coast Section, SPE Calgary, SPE Data Science and Engineering Analytics


Date and Time

Tue, Jun. 21

-

Sun, Jul. 24, 2022

8 a.m. - 11:30 p.m.
(GMT-0500) US/Central

Event has ended
View Our Refund and Cancellation Policy

Location



Group(s): Data Analytics