Enalysis Version 5.0 - Predictive Maintenance

Enalysis Version 5.0 is now live and offers a new and greatly improved user experience allowing customers to better identify, investigate and act on valuable opportunities for improving their assets’ and fleets’ performance. In addition to improving the overall user experience, Enalysis Version 5.0 is built on an entirely new platform dramatically improving the software’s scalability, ability to deliver new features in a rapidly evolving market, and capability for users to work seamlessly on their mobile devices.

This post is the final in a series aimed to showcase how Enalysis Version 5.0 will improve how you can deliver value to your company. The focus for this post is to walk through how a user can identify, investigate and evaluate predictive maintenance opportunities utilizing the latest version of Enalysis. 

Background on Predictive Maintenance

Predictive maintenance can help lower maintenance costs, extend equipment life, reduce unscheduled downtime and ultimately ensure equipment is being fully optimized.  Using first principal calculations Enalysis highlights key maintenance indicators which include but are not limited to, rod loads, rod reversals and valve and piston ring health.  By effectively identifying key maintenance indicators Enalysis can help streamline the maintenance workflow associated with reciprocating and rotary compressors.

Identifying Predictive Maintenance Opportunities

To first identify a predictive maintenance opportunity, Enalysis V5.0 has made it much easier to identify and investigate opportunities within your compressor fleet.  Enalysis V5.0 surfaces opportunities across your fleet to effortlessly identify what assets present optimization opportunities on the Dashboard.  Utilizing the capabilities of the dashboard, you can drill further into your assets to look in depth at the assets that contribute to the opportunities available for you.

The following video outlines how you can navigate between a fleet level overview to an asset-by-asset overview which allows our users to identify the opportunities presented to them.  In the following example, Enalysis has identified a compressor with a predictive maintenance opportunity of $112,000/month.

Investigating Predictive Maintenance Opportunities

When you've identified an asset that presents an opportunity to optimization, utilize the vital signs to assess the performance and operating conditions of your asset. To understand the performance of your equipment, you will want to understand the expected and desired operating range of your equipment.

The following example highlights the types of details we would be looking to capture to then move onto the evaluation step

The goal based on the data is to address the blowby issue (damaged valves) in turn running the compressor more efficiently and at a lower suction pressure.

The following video outlines how you can navigate from the fleet level overview to drill into the asset of your choice to determine the optimization potential. 

Evaluation Predictive Maintenance Opportunities

When the objective has been determined, the simulator can then be leveraged to determine the benefits of address the predictive maintenance opportunity. To perform the simulation, a user can navigate directly from vital signs to the simulator. For performing the simulations, please refer to the following post for details: Performance Modeling with Enalysis Simulator

The outcome of the simulation exercise indicates that production can be maintained and the suction pressure can be reduce while moving the current production.  With the reduced suction pressure there is the potential of incremental production!

The following video outlines how you can utilize the Enalysis simulator in combination with the operating data from the assets vital signs to further understand the maintenance opportunity.