Study On The Early Warning Technology Of Petroleum Drilling Engineering Accidents

Drilling technology is key role of exploration and development in oilindustry. However, there are many risks such as the risk of wells flow, the risk oflost circulation, well fall risk, sticking risk and drilling tools damaged in drillingprogress. Therefore, the drilling technician should capture and make use of allkinds of parameter information to build the early-warning system and maketimely the pertinently decision which can reduce the losses of the accident.This paper does a comprehensive data analysis and research on the normal8accident in drilling program and reference characteristics involved mud logging.Through research on all kinds of drilling accidents, this phenomenon have beenfound that misinform lies in mud logging abnormal forecast because theearly-warning system is unefficient and the mud logging parameters is notfiltrated and dealt with. The filtrated technology of mud logging parameter andnon-gap combination need to be improved; More than25mud logging real timeparameters and the relevant and sensitive relation along all kinds of parametersneed to be critical research. This paper innovational does a early warningtechnology comprehensive model based all kinds of parameters. Throughintegrating all relevant parameters, we can capture the characteristic parameterswith cluster analysis to build the early warning technology model based on greytarget theory by which the drilling accidents forecast ratio will be enhanced andreal-time control on the safety level of oil drilling system will come true.