Data Visualization⭐ Featured Skill

Oilfield Pumping Unit Intelligent Wear Diagnosis and Health Advisor

油田抽油机系统磨损诊断与健康预警顾问

Addressing pain points of severe wear in pumping unit systems, low energy efficiency and delayed fault warning, this skill integrates dynacard analysis, vibration monitoring and oil well production data to build a rod-pump wear diagnosis model, providing early warning of typical failures like rod-tube eccentric wear, pump valve failure, and stuck pump, realizing the transition from reactive maintenance to predictive maintenance.

能源矿业数字化油田抽油机系统磨损诊断与健康预警顾问
Install Command
npx openclaw skills install skill-oilfield-pumping-unit-intelligent-wear-diagno
Version
1.0.0
Author
shuzhihui
Updated
Wed Jun 03 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

Features

- **示功图智能诊断**:对抽油机示功图进行自动识别与特征提取,诊断泵的充满程度、气蚀状态、固定阀/游动阀漏失程度、杆管偏磨等10余种典型工况,计算当前泵效并与理想工况对比

- **振动频谱磨损分析**:基于分布式加速度传感器数据,进行频谱分析与时频域联合诊断,识别曲柄销磨损、连杆轴承损伤、减速箱齿轮缺陷等机械故障,定位故障部件并评估严重程度

- **能耗效率深度评估**:综合分析有功功率、无功功率、功率因数、产液量、含水率数据,计算抽油机系统效率,诊断无效功耗来源(下行负荷过大、平衡度不足、冲次过高),输出能耗优化方案

- **预测性维护计划生成**:基于磨损趋势预测模型,计算抽油杆、泵阀、轴承等关键部件的剩余使用寿命,生成预防性维护计划(换泵作业、调整抽汲参数、计划性检泵周期),减少突发故障造成的产量损失

Use Cases

- **老旧抽油机系统预测性维护**:某低渗透油田使用超过8年的常规抽油机,近期频繁出现卡泵作业,平均检泵周期缩短至45天。通过本技能对近三个月示功图和功率数据进行分析,识别出行间抽油杆疲劳裂纹扩展趋势,提前安排检泵作业并更换受损杆段,检泵周期恢复至120天以上

- **新井抽油机参数优化匹配**:新投产定向井出现产能未达标且杆管偏磨严重问题,技术人员通过本技能对比分析示功图特征,诊断为泵径选择偏大、冲次过高导致液击,制定降低冲次至4次/分、减小泵径的优化方案,实施后日产量稳定且偏磨问题消除

Installation

npx openclaw skills install skill-oilfield-pumping-unit-intelligent-wear-diagno

使用示例

`诊断Xwell-2038井泵效低下的根本原因`

`分析抽油机系统过去30天能耗效率变化趋势`

`预测抽油杆剩余使用寿命并生成维护建议`

`生成三口问题井的诊断报告和处置方案`

`对比分析高含水期与低含水期抽油机运行参数差异`