Comparison of Oil Field Production Prediction Methods Based on Machine Learning

Machine learning is a branch of computer science and has been applied to the field of artificial intelligence. It is a form of data analysis in which computers are used for learning without explicit programming. Machine learning technology is increasingly used in oil and gas exploration. The method based on machine learning shows promising results in predicting oil production of different oil wells. In this case, the main goal of applying machine learning technology is to effectively mine large data sets and extract information from them, even if they are not predefined by humans or engineers. The main feature used to predict oilfield production is the number of wells, which can be found in the well report. In order to predict future oilfield production from these data, there are many technologies. Machine learning technology has been applied to this problem. It helps them identify patterns in different types of data sets and helps them develop better predictions. It helps improve accuracy while reducing costs by using less time and resources.