Patent ID: 11898552
Assignee: SEOUL NATIONAL UNIVERSITY R&DB FOUNDATION
Field: Engines, pumps, turbines (Mechanical engineering)
Classification: CPC F  E | IPC E  F

Claim 0:
1. A method of predicting pump failures of rod pumps using a scaled load ratio, the method comprising:
optimizing a size of a rolling window, upper and lower bounds of a normal range of the scaled load ratio, an alert period, and an alert frequency ratio as optimal input values through an optimization module constituting software;
receiving data of a current maximum load on a surface rod, a current minimum load on the surface rod, and a current speed of a target oil well pump from a storage device by means of a processor of a pump failure prediction system;
removing outliers from the received data on the basis of an outlier removable reference set using an outlier removable module constituting the software that is executed by the processor to generate filtered data;
receiving data of maximum and minimum loads on the surface rod in normal operation from the storage device and scaling the maximum and minimum loads by means of the processor;
calculating scaled load ratios using a scaled load ratio calculation module constituting the software using the filtered data;
calculating an average of the scaled load ratios in the rolling window using a scaled load ratio through average value calculation module constituting the software by applying a rolling window method to remove noises of the scaled load ratios;
determining whether the average of the scaled load ratios is in the normal range, and classifying the scaled load ratios as normal events or abnormal events using a scaled load ratio-normal range determination and classification module constituting the software;
calculating a ratio of the abnormal events and generating an alert when the ratio of the abnormal events exceeds the alert frequency ratio using a failure data ratio calculation and alert generation module constituting the software; and
monitoring a pump state using the pump failure prediction system to accurately predict the pump failures using the scaled load ratios, a pump speed, a pump card, and a pump fillage.