Introduction to Machine Learning in the Oil and Gas Industry

Author:

Bangert Patrick

Publisher

Elsevier

Reference96 articles.

1. Artificial intelligence-based machine learning considering flow and temperature of the pipeline for leak early detection using acoustic emission;Ahn;Engineering Fracture Mechanics,2019

2. Unsupervised process monitoring and fault diagnosis with machine learning methods;Aldrich,2013

3. Using machine learning to predict lost circulation in the Rumaila field;Al-Hameedi,2018

4. Impact of geological variables in controlling oil-reservoir performance: an insight from a machine-learning technique;Aliyuda,2020

5. Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review;Al-Jamimi;Process Safety and Environmental Protection,2018

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