一种用于钻孔工具的粘性预测器构建和评估方法,用于粘性预测
Honglin Wu1, Zhongbin Wang1, Lei Si1
1School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China.
The Review of scientific instruments
|January 31, 2025
概括
这项研究引入了一种新方法,用于预测钻探工具的粘附,这对于防止事故至关重要. 开发的粘贴预测器有效地识别和跟踪粘贴趋势,改善工程安全.
科学领域:
- 钻井工程 钻井工程
- 预测性维护是指预测性维护.
- 地质技术工程 地质技术工程
背景情况:
- 钻井工具的粘着是钻井操作中的一个重要问题,导致昂贵的停机时间和潜在的事故.
- 准确预测粘接事件对于石油和天然气行业的运营效率和安全至关重要.
- 预测钻头工具粘附的现有方法往往缺乏足够的精度来跟踪不断变化的趋势.
研究的目的:
- 开发和评估一种用于棒偏移粘接事故的新型粘接预测器.
- 识别和选择可靠的特征参数,这些参数准确地反映了粘接事件的进展.
- 建立一个可靠的评估模型来评估拟议的粘性预测器的性能.
主要方法:
- 使用各种信号处理技术从钻孔工具粘贴信号中提取相关特征.
- 应用曼-肯达尔趋势测试来评估提取的特征的意义和进化跟踪能力.
- 通过计算所选,反映趋势的特征的加权值来构建粘贴预测器.
- 开发一个专门的评估模型,以严格测试预测器的有效性.
主要成果:
- 拟议的粘性预测器在使用替代输入特征的模型相比,表现出更高的性能.
- 选择的特征有效地捕捉和跟踪了表明粘附的进化趋势.
- 评估模型证实了开发的预测器的实际实用性和准确性.
- 该预测器为现实世界的工程应用提供了有价值的参考,以防止粘贴事故.
结论:
- 开发的粘贴预测器在钻头工具粘贴预测领域取得了重大进展.
- 该方法为特征选择和预测器构建提供了一个强大的框架.
- 这项工作提供了实用的见解和可靠的工具,以提高钻井操作的安全性和效率.
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