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基于神经网络的井漏风险预警技术 被引量:1

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摘要 井漏是影响钻井施工安全最为严重的井下复杂情况之一,为了有效地预防井漏事故的发生,文章对井漏风险机理进行了研究,得出了井漏发生表征现象及井漏风险预警所需参数,此外,采用神经网络算法建立了具有自学习性质的神经网络预警模型,并运用现场数据对模型进行了检测,该模型能够很好地对钻井过程中的井漏风险进行预警,满足实际钻井施工的要求。
出处 《信息通信》 2014年第5期27-29,共3页 Information & Communications
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共引文献64

同被引文献15

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