The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 31, 2024

Filed:

Mar. 21, 2022
Applicants:

Saudi Arabian Oil Company, Dhahran, SA;

Shanks Tech Ltd, Aberdeen, GB;

Inventors:

Rafael Adolfo Lastra Melo, Dhahran, SA;

Dave Shanks, Aberdeen, GB;

Jinjiang Xiao, Dhahran, SA;

Christopher Wrighton, Aberdeenshire, GB;

Assignees:

SAUDI ARABIAN OIL COMPANY, Dhahran, SA;

SHANKS TECH LTD, Aberdeen, GB;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
E21B 47/008 (2012.01);
U.S. Cl.
CPC ...
E21B 47/008 (2020.05); E21B 2200/20 (2020.05); E21B 2200/22 (2020.05);
Abstract

A diagnostics and control system (DCS) for an artificial lift system (ALS) in a well, comprising: a sensor network comprising a plurality of sensors for monitoring and obtaining measurements at a power source of the ALS and at a downhole pump of the ALS; a conditioning subsystem configured to measure ALS system performance data; a processing subsystem configured to receive communications from the conditioning subsystem and comprising a processor configured to process sensor data obtained by the sensor network; and a permanent local wellsite monitor that is controlled by the processing subsystem and is powered using a production controller of the ALS, wherein the permanent local wellsite monitor comprises a central surveillance center for transmitting commands and coordinating testing of the ALS among the sensor network, the conditioning subsystem, and the processing subsystem; wherein a condition of the ALS is evaluated by the permanent local wellsite monitor using the processed sensor data, testing results and system performance data to monitor a health of the ALS.


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