Portfolio Detail

Project information

  • Project Name: Shear Wave Prediction
  • Project Date: 08-10 October, 2021
  • Publication: See Publication

The shear wave velocity is one of the most important parameters in oil and gas exploration for determining the physical properties of rocks (Vs). However, due to budget constraints, this data is not always available during the investigation stage. Machine learning can be utilized as an alternate way for estimating shear wave velocity. The KNN, ANN, and SVR algorithms were used to create the machine learning model, with hyperparameter tuning used to discover the ideal hyperparameters for each algorithm

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