In the current technologically advancing world, the role of data science and data analytics has been increasing throughout the last decade. Machine learning has become increasingly important in different disciplines and its application spheres include also the petroleum industry. There have been studies that revealed how the operational parameters affect the production and well performance which leads to more and more studies to be dedicated to them. One of the methods to predict the production and well performance for the future and its potential lifespan, especially in the decline phase is the decline curve analysis. This study involves an investigation of the relationship between operational parameters and decline curve characteristics based on the dataset consisting of 53 shale gas wells data provided by SPE.