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