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Machine Learning for P&S Logging Data by S R Kumar Konathala is a document available to read on EtoBox.

What is Machine Learning for P&S Logging Data about?

The document presents a novel machine learning algorithm, PSINET, designed to automate the processing of P and S suspension logging data for offshore foundation design. Trained on a dataset of over 100,000 manually picked trace pairs, PSINET successfully predicts P-wave and S-wave arrival times, achieving an accuracy of 86% for P-waves and 44% for S-waves, while reducing turnaround time and interpreter bias. Further training is planned to enhance its performance across diverse ground conditions.

Author

S R Kumar Konathala

Language

EN