基于模糊专家系统的钻井溢流智能预警技术

Early Intelligent Kick Warning in Well Drilling Based on Fuzzy Expert System

针对钻井过程中由于地质信息复杂或缺乏邻井资料的原因,而使得无法建立基于样本信息的溢流预警模型的问题,通过对溢流发生机理及其表征规律进行研究,提出了一种基于分层思想的模糊专家系统所构建的溢流智能预警模型,该模型利用钻井专家的知识经验结合溢流表征规律能实现钻井溢流智能预警。该溢流智能预警模型通过对溢流表征参数进行模糊化处理,再结合模糊规则库进行推理计算,并将所得结果进行反模糊化处理,从而实现快速、准确的溢流智能预警。通过现场数据对钻井溢流智能预警系统的验证表明,该溢流智能预警技术能够满足现场应用需求,具有较好的应用前景。

In well drilling process, it is difficult to establish the intelligent early kick warning model based on sample informa- tion due to the complexity of geological information or the lack of adjacent well data. Through researches on the mechanism and characteristics of the kick occuring, we suggest an exploratory well drilling intelligent early kick warning method by using drilling expert knowledge and hierarchical fuzzy expert system and develop corresponding software system. By fuzzifying parameters of kick occurring and with calculation based on fuzzy inference rule, this model is able to provide fast andaccurate early kick warning. Field test data reveals thatthe intelligent early kick warning results are good and have a good application prospect.