Adaptix analyses historical data from existing scada and other control systems and sources and correlates them to known outcomes of the shutdowns over the previous 1 - 2 years to identify patterns and anomalies in the data such as leak detection, minimising false positives and negatives.
False alerts and zero tolerance mandate
If a scada, leak detection or other system produces an alert that can be directly or indirectly connected to a potential loss of fluid / gas from a pipeline, then, under the zero tolerance mandate, the operator must immediately shut down the pipeline and initiate a series of investigations. However, many of these alerts prove to be false and would not require to shut down the line in the first place. This results in costs associated with the investigations and shut down / start up of the pipeline as well as the issues associated with the Regulatory bodies, stakeholders, shareholders and General public.
The use of Adaptix can help the operators understand whether the alert is a true alert or false alert, thus minimising downtime and associated costs.
Predictive vs Preventive maintenance
Traditional maintenance and operational approaches through regular inspections, flow and pressure monitoring and forensics are also considered ineffective and costly, as one needs to engage a high level of resources just to detect such problems and usually with a considerable delay.
Adaptix helps detecting problems remotely and before the occur, allowing to organise targeted and effective maintenance operations that minimize underlying costs and downtime risks.
The objective of using Adaptix AI tools on top of existing scada tools is to build confidence to such an extent that Adaptix could be used as part of the decision making process to help develop an ALARP (As Low As Reasonably Practical) system to help address the zero tolerance requirements for leak detection on pipelines.