This use case centers on the midstream oil and gas sectors. However, the economics are valid for downstream sectors, water and rail operators too.
Everyone knows that Failures are expensive and unacceptable. Failures result in critical and ongoing repairs, with lost production, regulatory exposure, and reputational damage. This is where KartaSoft risk intelligence supports better outcomes.
To put this in context, some of the largest companies in the world have discovered that IoT, SCADA and/or traditional survey inspections will raise an alarm as to what might happen, but by then the cost curve is already steep and the impact potentially catastrophic.
A single unplanned pipeline rupture or compressor failure can easily run into $10M–$50M+. These costs come from:
KartaSoft customers benefit from the ability to understand what will fail six months ahead of today’s IoT and SCADA alerts.
By reducing the number of leaks with several times LESS capital expenditure, we provide a lead time that unlocks enormous value. Independent studies show that catching the same defects and rectifying them within BaU can return an estimated 80–90% back to the budget. IoT did promise similar outcomes; however, in practice, at best, organisations have a better rear-view mirror of what has happened.
A word of warning, companies that are looking towards a risk intelligence tool should demand that the provider can validate their claims under an unbiased and blind data testing regime. Our approach provides a level of confidence that enables workflows to capitalize on:
Beyond the monetary returns, there are also positive impacts, such as decarbonization objectives, which are achieved by default. This, in turn, impacts stakeholder trust and unlocks long-term enterprise value.
Every dollar spent on early detection and proactive integrity management returns multiple dollars in avoided costs. This is why strategic thinking asset managers are now moving beyond the numbers, addressing failures earlier with flow-through savings.
Get the basics right, and the value chain will follow.