Electrical submersible pump monitoring and failure prediction

• US 10,429,533 B2
• Filed: 01/25/2019
• Issued: 10/01/2019
• Est. Priority Date: 12/13/2011
• Status: Active Grant

• Current Assignee: Saudi Arabian Oil Company (Government of Saudi Arabia)
• Original Assignee: Saudi Arabian Oil Company (Government of Saudi Arabia)
• Inventors: Noui-Mehidi, Mohamed Nabil, Bukhamseen, Ahmed Yasin
• Primary Examiner(s): Schechter, Andrew
• Assistant Examiner(s): Cordero, Lina M
• Application Number:
  US16/257,609
• Publication Number:
  US 20190154862A1
• Time in Patent Office: 249 Days
• Field of Search: None
• CPC Class Codes: E21B 47/008 Monitoring of down-hole pump systems, e.g. for the detection of "pumped-off" conditions
• CPC Class Codes: G01V 3/06 using ac
• CPC Class Codes: G01V 3/38 Processing data, e.g. for analysis, for interpretation, for correction
• CPC Class Codes: H02P 31/00 Arrangements for regulating or controlling electric motors not provided for in groups H02P1/00 - H02P5/00, H02P7/00 or H02P21/00 - H02P29/00

Abstract

Current supplied to electrical submersible pumps in wells is monitored, and signal processing based on wavelet analysis and phase diagram analysis is performed on the data obtained from monitoring. An incipient malfunction of the electrical submersible pump, such as one due to scale build-up in and around the pump, can be detected at an early stage.

Claims

1. A method of monitoring and operating an electrical submersible pump motor disposed in a hydrocarbon well in situ to prolong operation of the pump motor and pumping of well fluids based on behavior and performance of the pump motor during pumping of the well fluids identified from an analysis of a pump motor electrical current providing operating electrical power to the pump motor, the method comprising:

recording, by a logging system, pump motor electrical current logs of the operating electrical power provided by the pump motor electrical current to the pump motor during pumping of the well fluids;

receiving, by a conditioning circuit, the pump motor electrical current logs and converting the pump motor electrical current logs to a format for processing;

receiving, by a frequency spectrum analyzer, the pump motor electrical current logs from the conditioning circuit and providing measures of energy density present during pumping of the well fluids in individual frequency ranges of a frequency spectrum of the pump motor electrical current;

receiving, by a wavelet analyzer, the pump motor electrical current logs from the conditioning circuit and providing measures of variations in signal time shift and frequency characteristics of the pump motor electrical current during pumping of the well fluids to identify variations of the pump motor dynamic behavior as functions of time, and applying, by the wavelet analyzer, an adjustable wavelet to a pump motor electrical current waveform to identify additional load on the pump motor during pumping of the well fluids;

receiving, by a signal embedding module of a dynamic behavior analyzer module, the pump motor electrical current logs from the conditioning circuit and superimposing a set of added time series signals of different characteristic frequencies into the pump motor electrical current logs to identify dynamic behavior performance changes of the pump motor during pumping of the well fluids from changes in the pump motor electrical current logs; and

receiving, by a phase diagram reconstruction module comprising an analyzer of the dynamic behavior analyzer module, the pump motor electrical current logs with the superimposed time series signals from the signal embedding module, the phase diagram reconstruction module sampling the received pump motor electrical current logs with the superimposed time series signals at different time intervals and forming a measure of the identified dynamic behavior performance changes of the pump motor based on fluctuations in the pump motor electrical current during pumping of the well fluids;

display, by way of a graphical display interface, pump motor diagnostic information for monitoring the behavior and performance of the pump motor to detect disturbances in performance of the pump motor during pumping of the well fluids, the pump motor diagnostic information comprising;

(a) characteristic frequencies and amplitude peaks as a function of frequency in the frequency spectrum of the pump motor electrical current measures provided by the frequency spectrum analyzer;

(b) variations of signal time shift and frequency characteristics of the pump motor electrical current identifying variations of the pump motor dynamic behavior from the measures provided by the wavelet analyzer; and

(c) phase diagrams of the dynamic behavior performance changes of the pump motor from the phase diagram reconstruction module;

predicting, based on the pump motor diagnostic information, a failure of the pump motor; and

reducing, in response to predicting the failure of the pump motor, an operating speed of the pump motor.

2. The method of claim 1, wherein the frequency spectrum analyzer comprises a Fast Fourier Transform analyzer.

3. The method of claim 1, further comprising the dynamic behavior analyzer module forming an identification of attractors based on the dynamic behavior of the pump motor.

4. The method of claim 3, further comprising the phase diagram reconstruction module forming an indication in a phase space diagram of the identified attractors furnished by the dynamic behavior analyzer module.

5. The method of claim 1, further comprising the wavelet analyzer applying the adjustable wavelet to the pump motor electrical current waveform and performing dilation and translation of the applied wavelet to identify variations in the pump motor electrical current.

6. The method of claim 1, wherein the additional load on the pump motor comprises scale build-up on a pump.

7. The method of claim 1, wherein the dynamic performance changes of the pump motor are pump motor electrical current fluctuations at low frequencies representative of gradual scale build-up in a pump.