In the process industry, pipeline inspections are a fundamental aspect of maintaining pipeline integrity and keeping your license to operate. Performing inspections often takes more time than expected and leads to frustration by those responsible. Optimizing the process itself might sound like a logical step, but chances are that the underlying problem is overlooked. The most impact on pipeline inspections can be made by improving the way your asset data is managed.
The data-centric mindset
The real problem: your asset data is not available, therefore preparing and performing the inspections take longer than expected, and the inspection data is captured in the inspection software instead of making it accessible for everyone in your company.
Managing your asset data in a data-centric environment will improve this situation on multiple levels. This requires adopting a mindset with focus on 1) storing all asset data in a structured way, 2) making sharing and updating of data a priority, 3) setting up connections to make asset data available across your organization and different applications used. All this will have a significant positive impact on your inspection process
All asset data available while creating inspection plans
The search for validated asset data while creating inspection plans can take a lot of time, in some cases even more time than creating the plan itself.
Using a data-centric approach will make sure your asset data is always up-to-date and available. This will free you from the hassle of going through a bunch of files and applications searching for data while preparing an inspection.
On top of that, if your asset data is handed data-centrically, the data can also be used as input for specific software solutions. It is for instance possible to automatically generate inspection isometrics based on an as-built 3D model. As you can imagine, this will even save more time .
No surprises in the field when executing the actual inspection
When inspection plans are created based on outdated asset data, the situation on site might be completely different than in the instructions. In most cases, this literally means going back to the drawing board to update drawings, isometrics and the inspection plan, resulting in a huge delay.
Adopting the data-centric approach means your inspection plan are always created based on the actual situation on site. So no frustrations, delays or extra work because of an outdated plan, but focus on the primary job of performing the inspection.
All inspection data is stored in accordance with your data model
The data generated during inspection and the inspection results can be of tremendous value for a company. Adopting modern practices like predictive maintenance and risk based inspections are right at your doorstep when you can use this data as input.
The way to make this happen is to manage your inspection data in the same data-centric environment. The inspection data will be directly available and shared based on a data model and can now be used in all kinds of applications a modern data-driven business is build upon.
Use your data to its fullest extent
Pipeline inspections are a critical process that keeps the wheels of your plant turning. The reality is that executing this process often takes more time than expected because asset data isn’t available or up-to-date.
Using a data-centric solution to manage your asset data is not only the way to save time in order to prepare for inspections, it also ensures that the data coming from the inspections are used to its fullest extent.
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