Data Mining Project 2: Regression Analysis of Drilling Completion

This data mining project presents a regression analysis of drilling completion data from the Cotton Valley Zone. The project examines the relationship between Percentage Successful Drilling Completion and various factors, including Slant Rate Differential and Core Fracture Ratio. The analysis includes regression equations and R-squared values to assess the explanatory power of different models. The document presents the model coefficients, regression statistics, and residual plots for different regression models. The project calculates the estimated Percentage Successful Drilling Completion using a specific regression equation and provides insights into the factors influencing drilling success in the Cotton Valley Zone. The study uses data from a random sample of 16 wells and references relevant literature on data mining and regression models.