Image designed from Figure 1b in the article. The objective of the complete paper is to accurately determine horizontal-shale-well estimated ultimate recovery (EUR) for an area integrating geology, machine learning, pattern recognition, and statistical analysis by use of various parameters of nearby producing horizontal shale wells as inputs. The work uses local geological information followed by execution of machine learning to identify critical well parameters that lead to better production. Then, a pattern-recognition step is performed while making sure the number of wells in each category is statistically significant. The conclusions are verified using available literature on correlation between well production and various well parameters.