Gas, oil, and water influxes (GOWI) represent critical well control complications posing substantial operational, environmental, and economic risks during drilling, completion, and work-over operations. This study integrates digital technologies, including real-time process modeling, predictive analytics, and automated parameter adjustment, to enhance well control operations. Timely detection, accurate diagnosis, and technologically justified mitigation of such influxes are essential to ensure well integrity, operational safety, and sustainable hydrocarbon production. Failure to properly manage GOWI may result in blowouts, formation damage, non-productive time (NPT), and significant financial losses. Therefore, the development of digitally supported, scientifically grounded well control strategies remains a priority for modern petroleum engineering. This study systematically analyzes the classification, underlying mechanisms, and early diagnostic indicators of gas, oil, and water influxes, emphasizing pressure imbalance, kick tolerance limits, and transient flow behavior. Advanced well control techniques, including soft shut-in procedures, are critically evaluated in terms of pressure stabilization efficiency and reduction of dynamic loading on surface and down-hole equipment. Digital simulation using the AMT-411 work-over simulator provides scenario-based training, real-time monitoring, and predictive decision support for operators. Based on simulation outputs and engineering calculations, optimized well killing strategies are proposed, demonstrating improved.