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Showing 1 to 2 of 2 for “"Well log imputation"”.

  1. Deep Neural Networks for Rate of Penetration Prediction: A Subsurface-Centric Approach Using Well Logs in the Volve Oil Field

    … framework for ROP prediction based solely on well log data, addressing geological complexity through an iterative, three-phase methodology. In the reservoir interval (2600–3600 m), ten deep neural network architectures were evaluated, with the optimal model achieving high predictive accuracy …

    bradford Repository record for Deep Neural Networks for Rate of Penetration Prediction: A Subsurface-Centric Approach Using Well Logs in the Volve Oil Field (opens in a new tab)

  2. Deep Neural Networks for Rate of Penetration Prediction: A Subsurface-Centric Approach Using Well Logs in the Volve Oil Field

    … framework for ROP prediction based solely on well log data, addressing geological complexity through an iterative, three-phase methodology. In the reservoir interval (2600–3600 m), ten deep neural network architectures were evaluated, with the optimal model achieving high predictive accuracy …

    bradford Repository record for Deep Neural Networks for Rate of Penetration Prediction: A Subsurface-Centric Approach Using Well Logs in the Volve Oil Field (opens in a new tab)