Drilling risk real time recognition technology is vital important for drilling risk early detection, evaluation and control. Drilling risk symptom automatic extraction technology was studied. The maximum value, minimum value, average value, pick value, skew value and kurtosis value were chose as drilling risk symptom indicators, and time serial of real time data was set up. Signal changing tendency rate automatic extraction technology was realized. Drilling risk database was created, and inference engine based on fuzzy production rule was also realized. The application results of some cases indicated that the drilling risk real time recognition technology based on fuzzy reasoning is accurate and reliable, the drilling risk can be found in early time, and it can be used to monitor borehole complex situations in real time. Average value, peak value, maximum value, minimum value, skew value and kurtosis value can be used as drilling risk indicators

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