Case Study: a leading oil and gas company predicts produced water filter clogging with VROC AI

Successful time to failure prediction of Oil and Gas Platform's, Produced Water Filter

The customer, a leading oil and gas company, was facing frequent clogging of produced water filters on an offshore platform, which occurred roughly five times per month. This issue caused significant well deferment, increased maintenance manhours, and depleted on-site filter inventory. The vendor, VROC, utilized its OPUS Auto AI platform to address this operational challenge.

VROC implemented a Time to Failure AI model that was trained on historical data to predict filter clogging events. The solution provided the operations team with reliable alerts one to two days in advance of a failure, allowing for planned interventions. This successful prediction enabled the customer to reduce unplanned maintenance manhours and avoid production delays, optimizing their operations.