Webinar: Using MIP to Model Midstream Energy Assets


Many organizations use optimization to assist with upcoming decisions. However, optimization has more applications than just large-scale decision making. One such example is East Daley Capital (EDC) and their use of optimization to model complex historical datasets. EDC provides in-depth data and information about North American midstream energy assets - processing, storing, transporting and marketing of oil, natural gas and natural gas liquids.

With data from dozens of different sources available at different frequencies and qualities, Mixed Integer Programming (MIP) has been a useful framework for filling gaps in the data. EDC uses Gurobi to accelerate the development and execution of their internal models.

This webinar will be centered around how EDC integrates Gurobi into their models. It will cover:

  • The business case from a high level 
  • The problem formulation as a Mixed Integer Program using Gurobi’s Python API 
  • Use of Gurobi features to assist in model development (multiple objectives and variable hints) 

There will be time for questions at the end of the webinar. This webinar will be presented by Levi DeLissa, a member of the Data Science team at East Daley Capital. Levi holds a MS in Industrial Engineering and BS in Industrial Engineering from Kansas State University. 

There are two sessions, presented in English, to choose from:

Tuesday, June 18th at 8am PDT (GMT -7)

Wednesday, June 19th at 3:00pm CEST (GMT +2)

Click on the "Show in My Time zone" link at the top of the registration page for each webinar to see the start time in your local timezone.