Petroleum Exploration Can Be Fuelled By Machine Learning Algorithms

Preliminary statistical analysis which is known as the hypothesis testing, is performed prior to applying machine learning algorithms. The parameter data is plotted to obtain a multivariate plot for visual representation. This helps in establishing patterns within those wells and see which one produces more or produces less shale oil and gas. The ML algorithms are performed on all the wells which are classified according to tiers (a total of 5 tiers). These algorithms give quicker results and identify wells suitable for more shale oil/gas production with respect to the plot.