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PIVOT 2022 Geothermal Datathon: SPE - Gulf Coast Section

- Team:

GeotherML
Presentation Link: click here

- Contents:

  • Exploratory Data Analysis

    • Overview of dataset
    • Check for missing data
    • check for columns without meaningful information
    • Determine inputs and outputs based on project scope
    • Check for correlation between features
    • Overview of embedded Time-series columns
    • Feature engineering: Average quarterly time-series to yearly time-series and filter to 20year lifespan
    • Import Second Dataset and concatenate with initial dataset
    • Export all dataframes for future Data Modeling
  • Data Modeling: Power Enthalpy

    • Import inputs and outputs
    • Train / Test split
    • Scale Data
    • Create Neural Network
    • Fit the Model
  • Data Modeling: Power Output

    • Import inputs and outputs
    • Train / Test split
    • Scale Data
    • Create Neural Network
    • Fit the Model
  • Data Modeling: Extracted Thermal Power

    • Import inputs and outputs
    • Train / Test split
    • Scale Data
    • Create Neural Network
    • Fit the Model
  • Evaluation Metrics

    • MAE
    • MSE
    • RMSE
    • Explained variance score
    • Compare mean values per year: Predictions Vs Real