A Review based Investigation of Exploratory analysis in AI and Machine Learning for a Variety of Applications

Abstract

In recent years, the number of production settings that make use of machine learning (ML) and other types of AI has grown significantly. The research presents a comprehensive review of where machine learning (ML) applications stand in industrial contexts at present. The development of smart mining tools has allowed for the generation, collection, and exchange of data in near-real time. This is why there is so much interest in machine learning (ML) studies in the mining industry. Additionally, this study provided a thorough evaluation of data sciences and ML's applications in a variety of petroleum engineering and geosciences domains, such as petroleum exploration, reservoir characterization, oil well drilling, production, and well stimulation, with a focus on the rapidly developing area of unconventional reservoirs. Future directions for data science and ML in the oil and gas industry are discussed, and the properties of ML that are necessary to enhance prediction are analysed. This study provides a detailed comparison of various ML techniques that can be used in the oil and gas industry. New possibilities for analysing and predicting medical data have emerged thanks to the development of artificial intelligence and machine learning, which were covered in this article. Multiple recent studies have shown that AI and ML can be used to fight the COVID-19 pandemic. This article's goal is to offer reviewers with an overview of recent studies that have made use of AI and ML in a variety of contexts.