This master thesis presents a comprehensive survival analysis examining two datasets to understand shale reservoir dynamics and identify the influence of various parameters on well performance. The first Case Study focuses on key reservoir and operational properties and their influence on the event of cumulative carbon dioxide injection into shale reservoirs. Results from Case Study 1 display significant findings regarding numerous covariates including matrix porosity, fracture porosity, and matrix permeability, casting light on their influence by employing the Kaplan-Meier (KM) curve, Cox Proportional Hazards (CPH) model, and Accelerated Failure Time (AFT) models. The Kaplan Meier produced resembles the shape of an inverse sigmoid function to reveal distinct injection phases, while the CPH model identifies influential covariates like fracture permeability and SRV fracture permeability which reduce the hazard ratio, hence increasing the survival time. The AFT model validates some of the covariates’ effects on injection timing, emphasizing SRV fracture permeability's role in increasing the survival times. Integration of model results enhances understanding for optimizing injection strategies and ensuring sequestration success in shale formations. The second case study analyses 42 gas-producing shale wells on a second dataset comprising geological, reservoir, and operational parameters, with analysis centred on gas volume production. Kaplan-Meier curves are constructed to visualise survival probabilities for individual wells, demonstrating a predictable linear decline over time. Cox Proportional Hazard and Accelerated Failure Time models are then employed to assess the impact of formation types on gas volume depletion. Results from the CPH model indicate significant influences of formation types on gas volume depletion hazard. Notably, Haynesville and Marcellus Shale formations produce a 46% and 53% reduction in hazard. Similarly, the AFT model reveals the acceleration or deceleration of gas volume depletion time, with coefficients indicating the influence of formation types by prolonging the well’s lifetime before attaining gas depletion thresholds. Overall, this thesis contributes to the understanding of shale well performance and emphasise the requirement for comprehensive analysis incorporating various reservoir and operational factors. It also confirms the potential of survival analysis techniques in optimizing production strategies and enhancing reservoir management in shale formations.