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What is Well Log Prediction Using Deep Sequence Learning about?

The paper presents a method for predicting sonic logs (DTC and DTS) using deep sequence learning techniques, specifically a bidirectional Long Short-Term Memory (LSTM) model, based on conventional well log measurements. The approach addresses the common issue of incomplete sonic log data in oil and gas wells by leveraging machine learning to provide accurate predictions, significantly reducing reliance on prior domain knowledge. Results demonstrate that the model effectively predicts sonic logs with good ac

Author

mojtaba bavand

Language

EN