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Machine Learning for Well-Log Correlation by Erick Morris is a document available to read on EtoBox.

What is Machine Learning for Well-Log Correlation about?

This document summarizes a machine learning approach to assist with well log correlation. It trains a deep convolutional neural network (CNN) on over 5 million samples from expert well log correlations to perform pattern matching between wells. The CNN achieves 96.6% accuracy on a separate validation dataset. It is one component of a correlation tool that also uses algorithmic search logic and rules to determine optimal correlations while preserving stratigraphic order and structural trends. Examples are pr

Author

Erick Morris

Language

EN