Data Visualization⭐ Featured
Oilfield Pumping Unit Wear Diagnosis and Design Optimizer
油田抽油机偏磨诊断与设计优化
Provides pattern recognition for single-sided and double-sided wear of oilfield pumping units, wear mechanism analysis, and FEA optimization recommendations to reduce pumping unit bracket damage and maintenance frequency.
能源矿业数字化油田抽油机偏磨诊断与设计优化
Install Command
npx openclaw skills install industry-oilfield-pump-wear-diagnosis-optimizerVersion
1.0.0
Author
shuzhihui
Updated
Mon May 18 2026 00:00:00 GMT+0000 (Coordinated Universal Time)
Source
ClawHub →Features
- **偏磨类型智能识别**: 根据油井生产参数(冲程、冲次、泵深、油品粘度等)和历史维修记录,自动判断偏磨类型(双面偏磨或单侧偏磨),输出偏磨类型诊断报告
- **偏磨机理深度分析**: 综合分析受力不均、杆管摩擦、液体冲击力、油井倾角等因素,计算各因素对偏磨的贡献度,定位主要致磨原因
- **支架结构有限元优化**: 基于偏磨数据优化抽油机支架结构,模拟计算优化后的应力分布、疲劳寿命,给出结构改进图纸建议和技术参数
- **偏磨预测与预防策略**: 基于油井生产数据和设备状态,建立偏磨预测模型,提前预警高风险井,制定预防性维护计划
- **优化效果跟踪评估**: 跟踪优化后设备的现场使用效果,对比优化前后的磨损速率、维修频次、停机时长等指标,评估优化成效
Use Cases
Installation
npx openclaw skills install industry-oilfield-pump-wear-diagnosis-optimizer
Usage Examples
`分析某油井双面偏磨数据,判断主要致磨原因是杆管摩擦还是液体冲击`
`对偏磨抽油机支架进行有限元优化,输出结构改进建议图纸`
`预测某油区未来3个月的偏磨高风险井清单,制定预防性维护计划`