Microsoft Energy Core Hackathon
March 1-8, 2021
Join Microsoft and Seeq March 1-8, 2021 for the Energy Core Hackathon - Part 2. Subject matter experts are encouraged to bring their knowledge and skills to cleanse, investigate, analyze, and identify impact from operational data. Participants will build upon their work from the August 2020 hackathon, or begin with a “catalyst package” as a new participant.
The objective of this hackathon is to:
Catalyst Package Description
Greenhouse gas emissions from oil & gas operations, especially methane, pose a critical challenge for the industry as it receives more scrutiny from investors, government and the public which are demanding ambitious reductions. Methane heats the atmosphere at 80 times the level of CO2 over a 20 year period and is a key contributor to climate change. It is an invisible gas which can leak from Oil and Gas infrastructure. However, Methane leaks are difficult and expensive to find. This presents a significant opportunity for technology solutions to reduce the cost, reduce the time, and increase the accuracy of detecting and fixing Methane leaks. This is made possible with the advancements of satellites like Sentinel 5P-2, Tropomi, GHG Sat, Bluefield, etc which are able to detect the emissions at varying levels of precision. The data these satellites capture is relatively new and could be enhanced by applying AI (Artificial Intelligence) and ML (Machine Learning) models.
A catalyst package is prepared to help the participants to pull the publicly available Tropomi satellite data and use the capabilities of Data & AI capabilities of the Azure cloud platform to detect and identify the potential sources of leak on the Permian basin. This Azure Methane Leak Detection Solution is available in GitHub and demonstrates the Azure architecture to pull in the Tropomi Satellite data from the ESA, extract Methane readings from it into Azure CosmosDB and visualize it with PowerBI and participant teams will be granted access during hackathon.
Please visit Data Analyst - AI Academy (microsoft.com) to access supporting learning material.
Seeq Use Case Description & Data Requirements
Participants will be required to provide their own operational dataset. This dataset should be formatted as described in the Seeq Knowledge Base (Import CSV Files 2.0 ) and include:
Participants will use Seeq to analyze their dataset to:
Participants may also use weather or satellite data, if available, for leak identification and localization.
Microsoft will provide one subject matter expert coach for every 2 hackathon teams. These coaches will mentor, monitor progress and address questions that may arise, as well as coordinate support from Seeq team.
In addition to providing on-going support throughout the hackathon, Seeq will provide a bootcamp training session and daily office hours, for drop-in support.
This session will be recorded for participants that are unable to attend
Office hours are available for teams to get additional support and ask questions; teams are not required to attend