Research on oil and gas production prediction process based on machine learning

In recent years, the development trend of artificial intelligence is getting better and better. It has been widely used not only in the fields of big data analysis, automobile automatic driving, intelligent robot and face recognition, but also in various fields of oil and gas industry. Oil and gas production prediction is an important part of reservoir engineering, which is very important for the future production and development of strata, and can give developers some development suggestions. At present, the methods used in oil and gas production prediction are mainly traditional means such as numerical simulation and history matching. With the application of artificial intelligence in various fields of oil and gas industry, the use of machine learning models for oil and gas production prediction has become the direction of development and research. This paper summarizes the basic process and main technical means of applying machine learning model to predict oil and gas production by investigating the research of domestic and foreign scholars on artificial intelligence in oil and gas production prediction in recent years. It provides ideas and lays a foundation for future researchers to study this aspect, and also contributes to the development of smart oil fields in the future.