Published Paper Details:

Machine learning (ML) and other forms of artificial intelligence (AI) are finding more and more uses in production environments. The study provides an in-depth analysis of the current state of machine learning (ML) applications in manufacturing settings. Technology advancements in smart mining have made real-time data production, gathering, and exchange possible. For this reason, the mining sector is actively engaged in ML-based research that makes use of this data. In addition, this research provided a comprehensive review of the uses of data sciences and ML in several areas of petroleum engineering and geosciences, including petroleum exploration, reservoir characterization, oil well drilling, production, and well stimulation, with special attention paid to the rapidly expanding field of unconventional reservoirs. A look into the future of data science and ML in the oil and gas business is provided, along with an examination of the features of ML that are needed to improve prediction. Different ML methods with application to the oil and gas sector are compared in detail in this paper. This article also discussed how the advent of AI and ML has sparked a paradigm change in healthcare, opening up new avenues of analysis and prediction within the realm of medical data. The application of AI and ML to combat COVID-19 has recently been demonstrated in a number of studies. The purpose of this article is to provide reviewers with a review of recent research that has used AI and ML in various applications.