The Hackathon returns



“Hydrocarbon Release & its Environmental Impact”


Greenhouse gas emissions from oil & gas operations are one of the most critical challenges faced by the industry today. Detecting emissions and leaks have always been difficult due to technical, logistical, and cost limitations. However, the advent of technology and the birth of AI and Machine Learning has brought the promise of a future where greenhouse gas emissions can be controlled.

And so, Microsoft Energy Core Hackathon will return from March 1-8, 2020 to further develop and improve the first Hackathon’s outcomes by providing new tools, partners, higher resolution imagery, and datasets to help participants create new solutions that are reliable and ready for deployment as a proof of concept. This new iteration of the Hackathon will challenge participants to locate when and where leakage occurs, predict the concentrations and predict the movement of the methane cloud among other things.




*If you choose to participate in this Microsoft Hackathon, you will be added to a teams channel and your name, email address and/or phone number may be viewable by other members of this Team.


The objectives of this Hackathon will be:


  • Identify Sources of Releases
  • Release Journey: GHG release from inception to diffusion
  • Using AI & ML to enable operators to control and limit releases
  • Establish recommendations and Roadmap for the future
  • Solve a real-world energy-industry-related problem by building an application (MVP) using Azure AI-technologies.
  • The MVP shall be briefly presented to the jury and additionally submitted online through a GitHub repository, Teams workspace with descriptive Slide Dec




  • Participation is limited to individuals/teams nominated by Energy Core Customers and Universities leadership only
  • Participants will be assigned into teams min. of 3 members per team and max of 5 to jointly design and build their application, from vision to production.
  • We advise you to have team of Data Analysts and Data Scientists/Machine Learning experts, familiar with
    • Azure platform
    • ArcGis platform
    • Phyton development (Computer Vision)
    • PowerBI tool
  • Teams will be formed based on final numbers of registration.
  • You can register as an:
    • Individual – we will assign you in a Team
    • Team
  • Each team is assigned one experienced subject-matter-expert to coach the team, monitor progress, answer questions and resolve challenges.
  • Participants will use Microsoft Azure AI technology to extract insights from unstructured data and expose the results by the end of the Hackathon.
  • Participants will collaborate within a dedicated Microsoft Teams environment having their cameras and microphones turned on
  • Application Development will be done on Azure / GitHub


We wish you best of luck! 😊




*If you choose to participate in this Microsoft Hackathon, you will be added to a teams channel and your name, email address and/or phone number may be viewable by other members of this Team.

Use your current skills improved by skills you will gain on this Hackathon developed by specially tailored readiness curriculum delivered through Microsoft Energy Core AI Academy. To prepare yourself better for Hack part, we provide you with this interactive learning materials:


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Machine Learning


Starting with Machine Learning basics, this track gives you a walk-through ML Studio. You will also learn how to import and prepare data for training your model. After that we'll be building real-life ML solutions such as predicting flight delay and diabetes prediction model.

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Python is one of the most popular programming languages when it comes to Machine Learning. Learn how to train and register model, work with Datasets, get familiar with Azure ML SDK for Python and many more. This track offers you multiple labs which gives you valuable hands-on experience.

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Computer Vision


Computer vision is an area of artificial intelligence (AI) in which software systems are designe to perceive the world visually, through cameras, images and video. In this track you'll be analyzing images with HTML&JavaScript, recognize characters with Computer Vision SDK and create Serverless Web Application.

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Knowledge Mining


Knowledge mining is an emerging discipline in artificial intelligence (AI) that uses a combination of intelligent services to quickly learn from vast amounts of information. In this track you will be creating a Search App using Azure Portal. You'll also go through lab where you will learn more about Cognitive Search and all its applications.

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Data Analyst


Learn how to track Methane emissions using Sentinel-5P data. You will be introduced to Microsoft's Power BI tool and how to organize and import data for analysis. This track will also teach you how to use ArcGIS Maps inside the Power BI.