Electrical submersible pump monitoring and failure prediction

• US 10,571,590 B2
• Filed: 07/08/2019
• Issued: 02/25/2020
• 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): Cordero, Lina M
• Application Number:
  US16/504,965
• Publication Number:
  US 20190331821A1
• Time in Patent Office: 232 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. An apparatus for monitoring and operating an electrical submersible pump disposed in a hydrocarbon well, the apparatus comprising:

a logging system configured to record pump motor electrical current logs of the operating electrical power provided to a pump motor of the electrical submersible pump during pumping of well fluids;

a conditioning circuit configured to convert the pump motor electrical current logs to a format for processing;

a frequency spectrum analyzer configured to generate, based on the pump motor electrical current logs, 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;

a wavelet analyzer configured to generate, based on the pump motor electrical current logs, 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, the wavelet analyzer configured to apply an adjustable wavelet to a pump motor electrical current waveform based on the pump motor electrical current logs to identify additional load on the pump motor during pumping of the well fluids;

a dynamic behavior analyzer module, comprising;

a signal embedding module configured to, based on the pump motor electrical current logs, superimpose 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

a phase diagram reconstruction module configured to, based on the pump motor electrical current with the superimposed time series signals, sample the received pump motor electrical current with the superimposed time series signals at different time intervals and form 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;

an interface module configured to generate 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 generated 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 generated by the wavelet analyzer; and

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

a diagnostic system configured to;

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

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

2. The apparatus of claim 1, wherein the frequency spectrum analyzer is configured to conduct a Fast Fourier Transform to generate the measures of energy density.

3. The apparatus of claim 1, wherein the dynamic behavior analyzer module is configured to form an identification of attractors based on the dynamic behavior of the pump motor.

4. The apparatus of claim 3, wherein the phase diagram reconstruction module is configured to form an indication in a phase space diagram of the identified attractors.

5. The apparatus of claim 1, wherein the wavelet analyzer is configured to apply the adjustable wavelet to the pump motor electrical current waveform and perform dilation and translation of the applied wavelet to identify variations in the pump motor electrical current.

6. The apparatus of claim 1, wherein the additional load on the pump motor comprises scale build-up in the electrical submersible pump.

7. The apparatus 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 the electrical submersible pump.

8. An apparatus for monitoring and operating an electrical submersible pump disposed in a hydrocarbon well, the apparatus comprising:

a logging system configured to record pump motor electrical current logs of the operating electrical power provided to a pump motor of the electrical submersible pump during pumping of well fluids;

a conditioning circuit configured to convert the pump motor electrical current logs to a format for processing;

a frequency spectrum analyzer configured to generate, based on the pump motor electrical current logs, 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;

a wavelet analyzer configured to generate, based on the pump motor electrical current logs, 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, the wavelet analyzer configured to apply an adjustable wavelet to a pump motor electrical current waveform based on the pump motor electrical current logs to identify additional load on the pump motor during pumping of the well fluids; and

an interface module configured to generate 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 generated by the frequency spectrum analyzer; and

(b) variations of signal characteristics from the measures generated by the wavelet analyzer; and

a diagnostic system configured to;

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

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

9. The apparatus of claim 8, wherein the frequency spectrum analyzer is configured to conduct a Fast Fourier Transform to generate the measures of energy density.

10. The apparatus of claim 8, wherein the wavelet analyzer is configured to apply the adjustable wavelet to the pump motor electrical current waveform and perform dilation and translation of the applied wavelet to identify variations in the pump motor electrical current.

11. The apparatus of claim 8, wherein the additional load on the pump motor comprises scale build-up in the electrical submersible pump.

12. An apparatus for monitoring and operating an electrical submersible pump disposed in a hydrocarbon well, the apparatus comprising:

a logging system configured to record pump motor electrical current logs of the operating electrical power provided to a pump motor of the electrical submersible pump during pumping of the well fluids;

a conditioning circuit configured to convert the pump motor electrical current logs to a format for processing;

a frequency spectrum analyzer configured to generate, based on the pump motor electrical current logs, 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;

a dynamic behavior analyzer module, comprising;

a signal embedding module configured to, based on the pump motor electrical current logs, superimpose 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

a phase diagram reconstruction module configured to, based on the pump motor electrical current with the superimposed time series signals sample the received pump motor electrical current with the superimposed time series signals at different time intervals and form 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;

an interface module configured to generate 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 generated by the frequency spectrum analyzer; and

(b) phase diagrams of the dynamic behavior performance changes of the pump motor formed by the phase diagram reconstruction module; and

a diagnostic system configured to;

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

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

13. The apparatus of claim 12, wherein the phase diagram reconstruction module is configured to perform mutual information analysis of the pump motor electrical current.

14. The apparatus of claim 13, wherein the dynamic behavior analyzer module is configured to form an identification of attractors based on the dynamic behavior performance changes of the pump motor.

15. The apparatus of claim 14, wherein the phase diagram reconstruction module is configured to form an indication in a phase space diagram of the identified attractors.

16. The apparatus of claim 12, 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 the electrical submersible pump.

17. A method of monitoring and operating an electrical submersible pump disposed in a hydrocarbon well, the method comprising:

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

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

generating, by a frequency spectrum analyzer based on the pump motor electrical current logs, 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;

generating, by a wavelet analyzer based on the pump motor electrical current logs, 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;

applying, by the wavelet analyzer, an adjustable wavelet to a pump motor electrical current waveform based on the pump motor electrical current logs to identify additional load on the pump motor during pumping of the well fluids;

superimposing, by a signal embedding module of a dynamic behavior analyzer module, 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

sampling, by a phase diagram reconstruction module of the dynamic behavior analyzer module, the received pump motor electrical current logs with the superimposed time series signals at different time intervals;

forming, by the phase diagram reconstruction module 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;

generating, by an interface module, 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 generated 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 generated by the wavelet analyzer; and

(c) phase diagrams of the dynamic behavior performance changes of the pump motor formed by 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.

18. The method of claim 17, wherein the frequency spectrum analyzer conducts a Fast Fourier Transform to generate the measures of energy density.

19. The method of claim 17, further comprising the dynamic behavior analyzer module forming an identification of attractors based on the dynamic behavior of the pump motor.

20. The method of claim 19, further comprising the phase diagram reconstruction module forming an indication in a phase space diagram of the identified attractors.

21. The method of claim 17, 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.

22. The method of claim 17, wherein the additional load on the pump motor comprises scale build-up in the electrical submersible pump.

23. The method of claim 17, 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 the electrical submersible pump.