| 基于钻进状态监测的智能工况识别 |
| 投稿时间：2020-01-19 修订日期：2020-01-20 点此下载全文 |
| 引用本文：范海鹏,吴敏,曹卫华,等.基于钻进状态监测的智能工况识别[J].钻探工程,2020,47(4):106-113.FAN Haipeng,WU Min,CAO Weihua,et al. Intelligent drilling mode identification based on drilling state monitoring while drilling[J]. Drilling Engineering, 2020,47(4):106-113. |
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| 基金项目:国家重点研发计划项目“5000米智能地质钻探技术装备研发及应用示范”课题五“智能地质钻探技术及装备仪器研制”（编号：2018YFC0603405）；国家自然科学基金重点项目“复杂地质钻进过程智能控制”（编号：61733016）；湖北省技术创新专项重大项目“复杂地质环境钻采装备关键技术开发与应用”（编号：2018AAA035） |
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| 中文摘要:钻进过程状态监测旨在实时描述钻进工况，判断运行性能优劣程度进行非优追溯，及时指导司钻人员调整作业操作,保证钻进过程安全、高效、稳定开展。钻进工况是钻进系统运行状态的反映，因此开展面向状态监测技术的钻进工况识别研究具有重要的理论和应用价值。本文针对钻进工况识别问题，基于状态监测数据，建立基于支持向量机的钻进工况识别模型，对钻进工况进行识别。综合工况识别结果，对钻进效率进行评估，并对影响钻进效率的因素进行讨论，寻找提升钻进效率的手段。最后，采用钻进现场实钻数据进行仿真实验,验证所提方法的可行性和有效性。 |
| 中文关键词:钻进状态监测 工况识别 支持向量机 机械比能 效率评估 |
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| Intelligent drilling mode identification based on drilling state monitoring while drilling |
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| Abstract:Drilling state monitoring while drilling is intended to describe drilling modes, judge the operating performance timely, and analyze the causes of non-optimal modes so as to guide the driller to adjust parameters in time to ensure efficient, safe and stable drilling. Therefore, it is of theoretical and practical value to study drilling mode identification based on state monitoring while drilling. In this paper, the support vector machine is used to identify the drilling mode based on monitoring data. According to the identification results, drilling efficiency is evaluated, and factors affecting the efficiency are discussed to improve drilling performance. Finally, simulation experiments are carried out with the practical drilling data to verify the feasibility and effectiveness of the proposed method. |
| keywords:condition monitoring in drilling operating mode identification support vector machine mechanical specific energy efficiency evaluation |
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