BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Tendenci - The Open Source AMS for Associations//Tendenci Codeba se MIMEDIR//EN BEGIN:VEVENT DESCRIPTION:--- This iCal file does *NOT* confirm registration.\r\nEvent d etails subject to change. ---\r\nhttps://www.spegcs.org/events/6613/\r\n\r \nEvent Title: SPE Geothermal Datathon\r\nStart Date / Time: Mar 11, 2023 00:00 AM US/Central\r\nLocation: \r\nGeothermal energy is poised to be a k ey contributor in the shift to a sustainable energy future. Oil and Gas in dustry has the skillset and expertise to convert this geothermal dream to a reality. However, this transformation can be significantly expedited usi ng modern data science and machine learning methods.\r\nIn pursuit of this goal, SPE Data Science and Engineering Analytics Technical Section (DSEAT S) is organizing a datathon focused on geothermal energy, in collaboration with SPE Gulf Coast Section, US Department of Energy, Utah Forge, and Pro ject InnerSpace. The SPE Geothermal Datathon 2023 is going to challenge pa rticipants 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 ene rgy production. Participants are going to work on one of the largest geoth ermal datasets assembled including never before analyzed data. They will l everage their combined engineering and data skillsets to generate actionab le insights to help solve the real-world design problem.\r\nThe datathon w ill be accompanied by bootcamps covering technical topics related to data science in energy, geothermal energy, and soft skills. The Bootcamps will kick off in February. The competition will kick-off on April 3rd, 2023. M ore details will be provided on the event webpage.\r\nRules:\r\n1. Team si ze. Teams should have at least 1 people and no more than 7 members. 2. No Plagiarisation. Plagiarisation is not acceptable. Learning from existing r esources online and using open-source code is accepted.3. Frameworks: You can only use open source frameworks.4. Open Source: The workflow, codes, a nd presentations prepared as part of Pivot Datathon will be open source.5. Intellectual property: SPE and Datathon Sponsors make no claim over intel lectual property generated during the event. 6. Social Media Disclosure: B y taking part in the event, you agree to allow SPE and Datathon committee to include mention of your participation in the event, and to appear in ph otos and video of the event. Personal information will not be made public without individual consent.7. Rules: SPE and Datathon committee reserve th e right to change the rules at any time.\r\nIf you are interested in volun teering or sponsorships, please fill the form provided in the links below: \r\nVolunteers and Subject Matter Experts - https://forms.gle/EUuUjfJuqZLK Nrsk6\r\nSponsorship - https://forms.gle/TLn8di1e1fYhgJJa6\r\nFor addition al queries, please contact Pushpesh Sharma (pushpesh.sharma@aspentech.com) or DSEA TS (dsea.spe@gmail.com).\r\n--- This iCal file does *NOT* confirm registration.Event details subject to change. ---\r\n\r\n--- By Tendenci - The Open Source AMS for Associations ---\r\n UID:uid6613@spegcs.org SUMMARY:SPE Geothermal Datathon DTSTART:20230311T060000Z DTEND:20230601T045900Z CLASS:PUBLIC PRIORITY:5 DTSTAMP:20240328T152210Z TRANSP:OPAQUE SEQUENCE:0 X-ALT-DESC;FMTTYPE=text/html:
Geotherma l energy is poised to be a key contributor in the shift to a sustainable e nergy future. Oil and Gas industry has the skillset and expertise to conve rt this geothermal dream to a reality. However, this transformation can be significantly expedited using modern data science and machine learning me thods.
In pursuit of this goal, SPE Data Science and Engineering An alytics Technical Section (DSEATS) is organizing a datathon focused on geo thermal energy, in collaboration with SPE Gulf Coast Section, US Departmen t of Energy, Utah Forge, and Project InnerSpace. The SPE Geothermal Datath on 2023 is going to challenge participants to solve a geothermal engineeri ng problem using real field data from the \;Utah FORGE Project . \;Participants are going to use modern mac hine learning methods to create predictive models to aid future geothermal energy production. Participants are going to work on one of the largest g eothermal datasets assembled including never before analyzed data. They wi ll leverage their combined engineering and data skillsets to generate acti onable insights to help solve the real-world design problem.
The da tathon will be accompanied by bootcamps covering technical topics related to data science in energy, geothermal energy, and soft skills.  \;The Bootcamps will kick off in February. The competition will kick-off on April 3rd, 2023. More details will be provided on the event w ebpage.
Rules:
1. Team size. \;Teams should have at leas
t 1 people and no more than 7 members.
2. No Plagiarisation. \;P
lagiarisation is not acceptable. Learning from existing resources online a
nd using open-source code is accepted.
3. Frameworks: You can only us
e open source frameworks.
4. Open Source: The workflow, codes, and pr
esentations prepared as part of Pivot Datathon will be open source.
5
. Intellectual property: SPE and Datathon Sponsors make no claim over inte
llectual property generated during the event.
6. Social Media Disclo
sure: By taking part in the event, you agree to allow SPE and Datathon com
mittee to include mention of your participation in the event, and to appea
r in photos and video of the event. Personal information will not be made
public without individual consent.
7. Rules: SPE and Datathon committ
ee reserve the right to change the rules at any time.
If you are in terested in volunteering or sponsorships, please fill the form provided in the links below:
Volunteers and Subject Matter Experts - https://forms.gle/EUuUjfJuqZLKNrsk6 a>
Sponsorship - http s://forms.gle/TLn8di1e1fYhgJJa6
For additional queries, please contact Pushpesh Sharma (pu shpesh.sharma@aspentech.com) or DSEA TS (dsea.spe@gmail.com).