Apr. 18 - Apr. 19, 2022


Registration has closed for this event. Thank you for showing interest!!

Participate in a guided hands-on workshop where you can discover various aspects of building a Machine Learning Model and then packaging and deploying that model into an End-to-End Upstream E & P Workflow Solution that an end user (Geoscientist, Production Engineer, Drilling Engineer etc) can use.

  • Session 1 (1.5 hours)
    • Slides on various aspects of building the ML model
    • Introduction to the hands-on use case
  • Session 2 (2 hours)
    • Verify Setups
    • Guided ML model building session
    • Hands-on session for attendees to refine the model
    • Validate the Model resultsSession 2 (2 hours)
  • Lunch (1 hour) _ Included in registration
  • Session 3 (2 hours)
    • Discussion on packaging, operationalization and future maintenance
    • Demo of an end-to-end solution
      • Show model building workflow using interactive Story-telling mode starting from the data source and ending with an ML Model
      • A focused application showing the use of the ML model
      • An enterprise application with multiple ML models running behind the scenes while the end-user is using the application
    • Session 4 (1-1.5 hours)
      • Open discussion

Link to Data Science Convention (In-Person Registration): https://www.spegcs.org/events/6214/

Link to Data Science Convention (Virtual Registration): https://www.spegcs.org/events/6381/





Featured Speakers

Speaker Sunil Garg

Speaker Yuxing Ben

View all speakers


SPE GCS Data Analytics Study Group

Date and Time

Mon, Apr. 18


Tue, Apr. 19, 2022

8:30 a.m. - 6 p.m.
(GMT-0500) US/Central

Event has ended
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Norris City Centre, Houston

Group(s): Data Analytics