OPTIMIZE USING MACHINE LEARNING

No more guesswork: know the most economical time to clean and save up to 15% OPEX.

Plant owners need the best price for every metre cubed of water.

Plant managers need to forecast chemical cleaning costs with confidence.

Plant operators need to maximize the lifetime of a plant’s membranes.

How it works

Synauta’s patent pending solution processes your plant’s data and uses machine learning combined with your operating costs to recommend the best date to clean your membranes. You’ll know the optimal cost for each clean and how much you’re saving, while maximizing the lifetime of your membranes. Say goodbye to generic cleaning guidelines that never account for the intricacies of your plant.

Manage multiple trains simultaneously

Plant managers and operators no longer need to worry about which train to clean first. Synauta’s solution sends cleaning recommendations well ahead of time, with a tailored notice period that suits your operations, so you can organize cleans without worrying about schedule conflict.

The approach

For chemical saving, Synauta applies a phased process to optimization:

Phase 1 Machine Learning Ready Report: Answers how much chemical we can save you.
Phase 2 Semi-Auto Mode: Operators receive recommendations for the next clean on each train, at a frequency suited to the plant.

Chemical savings are realized faster with plants that have a good backlog of data in their SCADA Historian.

See how much you can save

$ 0 +
Potential savings at 50,000m3/day plant

Annual saving based on standard wastewater reuse RO plant

$527,000+

Contact us to get your Machine Learning Ready Report
Useful links
Folleto en Español

Haga clic aquí para descargar un folleto.

Flyer in English

Click here to download a flyer.

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