Dynamic artificial lift

Patent metadata

Field	Value
Publication number	US-11208876-B2
Application number	US-201816491856-A
Country	US
Kind code	B2
Filing date	Mar 8, 2018
Priority date	Mar 8, 2017
Publication date	Dec 28, 2021
Grant date	Dec 28, 2021

Abstract

A system includes a reception interface that receives sensor data of an artificial lift system disposed at least in part in a well; an analysis engine that, based at least in part on a portion of the sensor data, outputs values of state variables of the artificial lift system; and a transmitter interface that transmits information, based at least in part on a portion of the values of state variables, to a surface controller operatively coupled to the artificial lift system.

First claim

What is claimed is:

1. A system comprising:
a reception interface that receives sensor data of an artificial lift system disposed at least in part in a well, wherein the sensor data comprises one or more values of a set of state variables;
an analysis engine that, based at least in part on a portion of the sensor data, outputs one or more values of state variables of the artificial lift system, wherein the one or more outputted values of the state variables comprise one or more variables that is not in the set of state variables; and
a transmitter interface that transmits information, based on the one or more of the values of the state variables of the artificial lift system, to a surface controller operatively coupled to the artificial lift system.

2. The system of claim 1 wherein the analysis engine comprises a machine learning component that utilizes one or more mathematical networks to output the one or more of the values of the state variables of the artificial lift system.

3. The system of claim 1 wherein the analysis engine comprises an inversion component that utilizes a plurality of physical models to output the one or more of the values of the state variables of the artificial lift system.

4. The system of claim 2 wherein the analysis engine comprises an inversion component that utilizes a plurality of physical models to output the one or more of the values of the state variables of the artificial lift system.

5. The system of claim 1 wherein the analysis engine generates a digital twin of the artificial lift system.

6. The system of claim 5 wherein the analysis engine updates the digital twin during operation of the artificial lift system based at least in part on sensor data received during the operation of the artificial lift system.

7. The system of claim 5 wherein the digital twin is a computerized avatar of the artificial lift system.

8. The system of claim 5 comprising a storage interface that stores the digital twin of the artificial lift system to a database.

9. The system of claim 1 wherein the analysis engine comprises black box features and white box features.

10. The system of claim 9 wherein the black box features comprise at least one artificial neural network (ANN).

11. The system of claim 9 wherein the white box features comprise a plurality of physical models.

12. The system of claim 1 wherein the artificial lift system comprises an electric submersible pump.

13. The system of claim 1 wherein the artificial lift system comprises a rod pump.

14. The system of claim 1 wherein the artificial lift system comprises a gas lift valve.

15. A method comprising:
receiving sensor data of an artificial lift system disposed at least in part in a well during operation of the artificial lift system, wherein the sensor data comprises one or more values of a set of state variables;
analyzing at least a portion of the sensor data to output one or more values of state variables of the artificial lift system that comprise one or more values of the state variables that is not in the set of the state variables; and
transmitting information, based on the one or more of the values of the state variables of the artificial lift system, to a surface controller operatively coupled to the artificial lift system.

16. The method of claim 15 wherein the analyzing comprises machine learning that utilizes one or more mathematical networks to output the one or more of the values of the state variables of the artificial lift system and wherein the analyzing comprises inverting that utilizes a plurality of physical models to output the one or more of the values of the state variables of the artificial lift system.

17. One or more computer-readable storage media that comprise computer-executable instructions executable to instruct a computing system to:
receive sensor data of an artificial lift system disposed at least in part in a well during operation of the artificial lift system, wherein the sensor data comprises one or more values of a set of state variables;
analyze at least a portion of the sensor data to output one or more values of state variables of the artificial lift system that comprise one or more values of the state variables that is not in the set of the state variables; and
transmit information, based on the one or more of the values of the state variables of the artificial lift system, to a surface controller operatively coupled to the artificial lift system.

18. The of one or more computer-readable storage media of claim 17 wherein the instructions to analyze comprise instructions to perform machine learning that utilize one or more mathematical networks to output the one or more of the values of the state variables of the artificial lift system and comprise instructions to invert that utilize a plurality of physical models to output the one or more of the values of the state variables of the artificial lift system.

Assignees

• Sensia Llc

Inventors

• Eslinger David Milton
• Coste Emmanuel
• Anderson Jeffery P

Classifications

• E21B43/128 Primary

  Adaptation of pump systems with down-hole electric drives · CPC title

• E21B43/121 Primary

  Lifting well fluids (monitoring of down-hole pump systems E21B47/008) · CPC title

• F04D13/10

  adapted for use in mining bore holes · CPC title

• F04D15/0088

  Testing machines · CPC title

• E21B2200/22

  Fuzzy logic, artificial intelligence, neural networks or the like · CPC title