Novel Valve Condition Prognostic System for Digitally Enabled High-Pressure Pump Maintenance

David Gerber, J. Thaduri
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Abstract

The valve condition prognostics (VCP) system detects anomalies on high-pressure pump fluid-end valves and seats during fracturing before a total functional failure occurs. The VCP enables condition-based fluid-end replacement instead of time-based maintenance intervals, thereby minimizing downtime and maintenance cost and increasing asset utilization while eliminating permanent fluid-end damage due to operating with leaky valves. This is a step change when compared to the fixed-interval maintenance system. The VCP includes the programmable logic controller (PLC), analog and digital modules, a rotation monitoring encoder connected to the power end, and pressure transducers to monitor fluid-end discharge and suction pressures. The intelligent algorithms feature robust failure prediction criteria based on machine learning [1], pattern classification [2], and adaptive algorithms, applicable to various equipment and field conditions. By obtaining ongoing and accurate pressure signatures, the VCP detects warnings and alarms that are sent to the operators in real time for action. Based on the alarms and operating parameters, the pumps can be shut down automatically to prevent damage. During multiple field tests, the VCP successfully extended usable valve life by at least 45% when compared to our current fixed-interval maintenance method. The VCP is 100% accurate in detecting a catastrophic valve failure and avoided fluid-end damage. The VCP kits are easy to install onto existing pumps using existing discharge and suction pressure sensors. The data are sent to the cloud, and high-frequency data are recorded in the PLC for detailed analysis as needed. In contrast to the common replacement approach that is based on either a scheduled time interval or when an operational failure happens, the VCP can detect and notify when an anomaly occurs and performs maintenance only when necessary. The fixed-schedule maintenance approach replaces the valves and seats in a conservative fashion regardless of their condition, often leading to waste. In the failure-based maintenance situation, equipment damage often results, leading to devastating pump shut down and expensive fluid end replacement. The VCP addresses both challenges. It not only prevents prolonged and costly equipment failures, but also reduces downtime, valve and seat parts cost, and maintenance time.
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数字式高压泵维修的新型阀门状态预测系统
阀门状态预测(VCP)系统可以在压裂过程中检测高压泵流体端阀门和阀座的异常情况,从而避免发生整体功能故障。VCP可以根据情况更换流体端,而不是根据时间间隔进行维护,从而最大限度地减少停机时间和维护成本,提高资产利用率,同时消除由于使用泄漏阀而造成的永久性流体端损坏。与固定周期维护系统相比,这是一个步骤变化。VCP包括可编程逻辑控制器(PLC),模拟和数字模块,连接到电源端的旋转监测编码器,以及用于监测流体端排放和吸入压力的压力传感器。智能算法具有基于机器学习[1]、模式分类[2]和自适应算法的鲁棒故障预测准则,适用于各种设备和现场条件。通过获取持续准确的压力信号,VCP可以检测到警告和警报,并实时发送给操作人员,以便采取行动。根据报警和运行参数,自动关闭水泵,防止损坏。在多次现场测试中,与目前的固定间隔维护方法相比,VCP成功地将阀门的使用寿命延长了至少45%。VCP在检测灾难性阀门故障方面100%准确,避免了流体端损坏。VCP套件很容易安装到现有的泵使用现有的排放和吸入压力传感器。将数据发送到云端,并将高频数据记录在PLC中,以便根据需要进行详细分析。与基于计划时间间隔或操作故障发生时的常见替换方法相比,VCP可以在异常发生时检测和通知,并仅在必要时执行维护。固定时间表的维护方法以保守的方式更换阀门和阀座,而不管它们的状况如何,这通常会导致浪费。在基于故障的维护情况下,往往会导致设备损坏,导致灾难性的泵关闭和昂贵的液端更换。VCP解决了这两个挑战。它不仅可以防止长时间和昂贵的设备故障,还可以减少停机时间,阀门和阀座部件成本以及维护时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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