Training Objectives by User
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      Completion Optimization Training Syllabus

      Training 1 Topics (60 minutes):

      • Completion Optimization Workflow Overview (5 minutes)
      • Completion Optimization Dashboard Overview (5 minutes)
      • Entity Set Considerations/Choices/Creation (10 minutes, the dataset used for type curve & model training)
      • Well Cost Model Calibration (5 minutes)
      • Calibration of Other Economic Inputs (10 minutes)
      • Machine Learning (ML) Model Design/Setup/Training (25 minutes, model that predicts production from completion/geo data)

      Goals:

      • User understands the overall Completion Optimization workflow logic.
      • User knows how to create an Entity Set appropriate for completion optimization.
      • User knows how to use the Completion Summary & Production Summary dashboards and Maps to QC the Entity Set
      • User knows how to calibrate the Well Cost Model and Other Economic Inputs
      • User knows how to create a Supervised Regression machine Learning model appropriate for Completion Optimization and Train that model.
      • User knows where to find help in the Knowledge Base

      Post-training:

      • User will independently create multiple Completion Optimization entity sets
      • User will independently create/train several different ML models
      • User will independently calibrate the Well Cost model and Other Economics Inputs

       

      Training 2 Topics (60 minutes, to be scheduled after the Training 1 meeting):

      • Single-well economics engine overview (5 minutes)
      • Loading/entering economic data (10 minutes)
      • Choosing/entering settings for various workflows (10 minutes)
      • Evaluation Matrix design considerations (15 minutes)
      • Running the workflows (5 minutes)
      • Completion Optimization Dashboard Use/Interpretation (15 minutes)

      Goals:

      • User knows how to load well cost model and other economic inputs 
      • User knows how to create/choose the Evaluation Matrix 
      • User knows how to find and edit/select the numerous workspace values and workflow settings required for the Completion Optimization workflows 
      • User knows how to run the Completion Optimization workflows 
      • User knows where to find help in the Knowledge Base

      Post-Training:

      • User will independently conduct completion optimization studies