Artificial Intelligence and Machine Learning in Corrosion Research

作者: Valentine Chikaodili Anadebe , Vitalis Ikenna Chukwuike , Chukwunonso Chukwuzuluoke Okoye , Lei Guo , Rakesh Chandra Barik

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摘要: Currently, the world is gradually moving to a digital world with the advent of artificial intelligence and machine learning models. The invention of these algorithms is a very big development for society. Artificial intelligence is a branch of science and engineering discipline concerned with teaching machines to think fast and operate like humans. Machine learning is concerned with using computer software to analyse complex non-linear tasks without the need for complex programming. In the oil and gas sector, the use of artificial intelligence and machine learning to appraise the efficiency of an inhibitor is gradually gaining attention in corrosion inhibition and pipeline integrity assessment. However, the proposed chapter will discuss more on the role of artificial intelligence and machine learning in corrosion related research.

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