Kick events during drilling operations represent critical safety risks, often escalating into blowouts if not detected and controlled promptly. Conventional detection relies heavily on isolated parameter alarms and manual interpretation, which may result in delayed responses. This study proposes the development of a real-time Early Warning Indicator Matrix (EWIM), a decision-support tool that integrates multiple real-time drilling parameters into a unified risk visualization model.

The EWIM is developed using simulation data generated from the DS-5000 Scientific Drilling Simulator, a high-fidelity tool replicating realistic drilling environments. The matrix integrates field-observable parameters such as flow in/out differential, pit gain/loss, standpipe pressure, rate of penetration, return flow percentage, hook load, and mud weight changes. These indicators are processed through a traffic-light threshold model (green, yellow, or red) to yield dynamic risk scores for kick onset.

A series of controlled kick simulations were executed to construct and calibrate the EWIM. Post-simulation analysis involving bottom-hole pressure and influx volume validates the matrix accuracy and sensitivity. Preliminary results demonstrate the EWIM's ability to provide earlier, more holistic warnings compared to traditional single-parameter monitoring.

This approach enhances both training outcomes and operational monitoring by offering a scalable, field-applicable framework for early kick detection. The proposed EWIM methodology makes a significant contribution to real-time process control and proactive safety in drilling operations.