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Early Detection of Choke Valve Degradation in Oil & Gas: A Retrospective Analysis using OpMode

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Overview.

Choke valves play a critical role in controlling the flow rate of production fluids from oil and gas wells. Their gradual degradation over time can be difficult to detect using traditional monitoring methods - the change in behaviour is subtle and incremental, making it easy to miss until the valve reaches a point of failure requiring unplanned intervention.

In collaboration with BP, Intelligent Plant applied OpMode retrospectively to historical operational data from a choke valve on BP's PU-IC asset. The analysis demonstrated that OpMode could have identified significant behavioural changes in the valve 9-10 months before it was replaced in late 2018 - well ahead of when traditional monitoring methods flagged any issue. This retrospective analysis makes a compelling case for the proactive deployment of behavioural monitoring tools on critical well equipment, where early warning of degradation can mean the difference between planned maintenance and costly unplanned shutdown.

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Challenges.

Detecting gradual equipment degradation in oil and gas operations presents several distinct monitoring challenges:

  • Gradual and Subtle Degradation: Unlike catastrophic failures which are immediately apparent, choke valve degradation occurs incrementally over an extended period. Traditional monitoring methods struggle to distinguish gradual behavioural change from normal operational variation, meaning deterioration can go undetected until it reaches a critical stage.
     

  • The Cost of Late Detection: Unplanned shutdowns resulting from undetected equipment degradation are significantly more costly than planned maintenance interventions. For a producing oil and gas well, the combined cost of lost production, emergency mobilisation, and repair can run to millions of pounds - making early detection a significant financial as well as operational priority.
     

  • Need for Process-Agnostic Monitoring: Effective early warning tools need to identify behavioural changes in equipment without requiring detailed process-specific knowledge for each asset. This allows rapid deployment across multiple assets without extensive engineering configuration for each one.​

Solution.

Intelligent Plant applied OpMode retrospectively to historical operational data from BP's PU-IC choke valve. OpMode was configured to analyse changes in the valve's operational behaviour over time using upstream and downstream temperature and pressure data, along with choke position - without requiring any prior process-specific knowledge of the asset. This process-agnostic approach is one of OpMode's key strengths, allowing it to be deployed rapidly across different equipment types without extensive engineering configuration.

 

Key Features of the Solution:
 

  • Behavioural Analysis: OpMode analysed upstream and downstream temperature and pressure data alongside choke position to establish a baseline of normal operational behaviour and detect deviations from it over time.
     

  • Principal Component Analysis: OpMode used Principal Component Analysis (PCA) to identify significant patterns in the operational data, deriving a clear signal of behavioural change from complex multi-variable datasets.
     

  • Early Warning Detection: The retrospective analysis demonstrated that OpMode identified a major shift in the choke valve's operational behaviour 9-10 months before the valve was replaced in late 2018 - a finding that illustrates the potential of proactive deployment to enable planned rather than reactive maintenance.

Results and Impact.

The retrospective analysis demonstrated OpMode's capability to detect gradual choke valve degradation significantly earlier than traditional monitoring methods. Key findings from the analysis were:

  • Clear Operational Mode Signal: OpMode simplified the complex multi-variable dataset into a binary tag indicating whether the choke valve was operating within normal parameters or deviating from them. This straightforward output allowed engineers to quickly assess valve condition without requiring detailed process knowledge.
     

  • 9-10 Months Early Warning: The analysis showed that the choke valve had been consistently deviating from normal operational behaviour for 9-10 months before the decision to replace it was made in late 2018. This deviation was gradual and incremental - precisely the kind of change that traditional monitoring methods are unlikely to flag until it reaches a critical stage.
     

  • Demonstrated Case for Proactive Deployment: Had OpMode been deployed in real time rather than applied retrospectively, the 9-10 month early warning it identified could have enabled planned maintenance intervention well ahead of any risk of unplanned shutdown. For a producing oil and gas well, the ability to schedule maintenance proactively rather than respond to an unexpected failure represents a significant operational and financial advantage.

Example of OpMode identifying choke valve moving away from normal operational values

OpMode detects change in normal operation, as shown in image above

Conclusion.

Gradual equipment degradation is one of the hardest operational challenges to manage - not because it is undetectable, but because traditional monitoring methods are not designed to distinguish incremental behavioural change from normal variation.

This retrospective analysis of BP's PU-IC choke valve demonstrated OpMode's capability to identify significant behavioural changes 9-10 months before the valve was replaced - well ahead of when traditional monitoring methods flagged any issue. The findings make a compelling case for the proactive real-time deployment of behavioural monitoring tools on critical well equipment.

This case study highlights the value of using intelligent monitoring tools like OpMode to enhance the reliability of critical equipment in the oil and gas industry. Intelligent Plant continues to deliver solutions that empower operators to maintain continuous operations, reduce risks, and achieve substantial cost savings.

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