Downhole Valve Automated Maintenance via Diagnostics Comparison

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Solution Overview

Problem

Manual scheduling of downhole valve maintenance in well systems is inefficient and ineffective due to unknown valve conditions and the large number of valves, leading to potential valve failures and reduced lifetime.

Innovation Solution

An automated preventive and predictive maintenance system that uses sensors to collect diagnostics data from downhole valves, compares data at different positions, and schedules maintenance operations based on valve condition analysis, including valve attribute data, well production attribute data, and fault detection attribute data, to predict valve failures and extend valve lifetime.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual scheduling of maintenance operations is used, then operational simplicity is maintained, but maintenance efficiency and effectiveness deteriorate due to unknown valve conditions and large number of valves

Engineering Contradiction:
Improvemaintenance efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system enables automated self-monitoring and self-diagnosis of valve conditions through sensors and processors that continuously collect and analyze diagnostic data, eliminating the need for manual inspection and scheduling while improving maintenance efficiency

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Manual mechanical scheduling operations are replaced with an automated electronic system comprising sensors, processors, and communication networks that monitor valve conditions and generate maintenance schedules automatically

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If automated diagnostic data collection and analysis is implemented, then maintenance effectiveness is improved through predictive capabilities, but system complexity and initial operational burden increase

Engineering Contradiction:
Improvevalve reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements continuous feedback loops where sensors monitor valve conditions, processors analyze the diagnostic data, and maintenance schedules are adjusted based on actual valve health status, enabling predictive maintenance that improves reliability

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary diagnostic assessments and predicts potential valve failures before they occur, allowing maintenance operations to be scheduled proactively rather than reactively, thereby improving valve reliability

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If frequent diagnostic data collection is performed, then valve condition monitoring precision is improved, but energy consumption and operational time increase

Engineering Contradiction:
Improvevalve condition monitoring precisionVSAvoidoperational time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system dynamically adjusts the frequency of diagnostic data collection based on valve operating conditions and risk assessments, collecting data more frequently when conditions warrant closer monitoring and less frequently when valves are stable, thereby optimizing monitoring precision while minimizing operational time loss

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS10590752B2Automated preventive and predictive maintenance of downhole valves
Publication Date: 2020.03.17 SAUDI ARABIAN OIL CO
  • US10590752B2 patent drawing
  • US10590752B2 patent drawing
  • US10590752B2 patent drawing

AI summary

A method of automated preventive and predictive maintenance for downhole valves in a well system includes receiving, at a plurality of first times, first diagnostics data of the plurality of downhole valves, where each downhole valve is at a respective first valve position at a respective first time, and the diagnostics data represents a valve condition of each downhole valve at a respective valve position and at a respective time. The method also includes receiving, at a plurality of second times, second diagnostics data of the plurality of downhole valves, where each downhole valve has been moved from the respective first valve position at the respective first time to a respective second valve position at a respective second time. The first diagnostics data and the second diagnostics data are compared. Based on results of comparing, a valve maintenance operation is selected for each downhole valve.