Current “de facto” practice, Instrumentation and Control System (ICS) Failure was the biggest contributor to Loss Production, especially in oil and gas industry. We often found following conditions in real world.
- Instrument & Control often “overlooked” by the traditional RCM & other reliability planning methods, being considered as “small” entities
- Paradoxically, the profit loss impact of Process Control System (PCS) unreliability has been very high, often the highest among other factors (such as Process Upset, Mechanical Integrity, Turbomachinery, etc)
- Modern plants are highly reliant on the automated Control Systems, in order to operate efficiently & safely. Ironically, control systems are often the least understood parts of the plant
- More safety concerns than reliability: safety does pay, but reliability costs
With all above conditions, ICS give very importance role in order to reduce overall Loss Production. It is highly importance to conduct study and assessment of ICS reliability.
Following figure depicts the “brd-eye” view to reduce loss production caused by ICS failure. In traditional perspective, it can be performed with 2 ways, corrective and preventive actions.
Some detail actions related to corrective and preventive actions is described by following figure.
Chronic Failure Analysis
This is the first qualitative approach to address loss production reduction program. This methodology is conducted to reveal the “bad actors” who contribute significant failures on “Instrumentation & Control” LP category. Following figure shows typical process of Chronic Failure Analysis.
The most significant and critical process is “data collection”. It plays importance role during analysis. Typically, failure data can be collected from Loss Production database and Maintenance record / CMMS (Computerized Maintenance Management System) such as SAP or Maximo. Having “correct” I&C LP record, it will enable to conduct further analysis such as “I&C Chronic failures analysis”. The aim of chronic failures analysis is to complete the overall picture of equipment defects and the bad-actors that contribute to repetitive Loss Production. It is necessary to capture all the relevant information on defects that have occurred over the same time frame.
One of resulted analysis is “Pareto Chart” as shown in following figure. With this chart, we can conduct further detail analysis in “bad actors” who contributes significant loss production.
Basically, I&C can be divided into 3 categories:
- Sensor / Sensing Element
- Logic Solver (DCS and PLC)
- Final Element (Valve)
This analysis will give bird eye view of Instrumentation and Control System failures. It can be compared to other similar industry or standard best practice as shown on following figure.
Following depicts the example of I&C Failure Hierarchy that is resulted from LP Database Analysis and SAP Data Analysis.
Quantitative ICS Reliability Analysis
By having “correct” failure record, it will enable to conduct quantitative “reliability analysis” such as Weibull Analysis as shown on following figures:
ICS Reliability Improvement Roadmap
Medium to long term roadmap must be identified and defined. ICS Reliability improvement program must be established and acquire support from management to get funding, task-force team, etc. Specific key deliverable and target schedule must be available. Following figure shows the snapshot some sample of medium to long term reliability improvement program.
We provide consultancy services to reduce loss production caused by ICS failure that covers following.
- Data Collection
- Qualitative ICS Failure study and assessment
- Quantitative ICS Reliability Analysis
We have expertise from System Engineer, I&C Engineer, Reliability Engineer and database engineer which are highly capable and synergize to provide complete solution.