Predictive analytics is being hailed as the technological solution to pipeline accidents.
Imagine if a pipeline was monitored so accurately and reliably, that a safety system could predict – based on collected data – when and where a pipeline accident or leak might occur.
This is the world we currently live in. The technology not only exists, it’s being rolled out and tested on pipelines so that a 100% incident-avoidance rate can be achieved.
In this post, we chat about how predictive analytics will end the era of pipeline accidents.
Pipeline Accidents Happen: Not for Long
For the last 100 years, pipeline accidents have been a big part of working in the oil and gas industry. Danger has always been part of the job. Energy, especially midstream, is fraught with volatile substances, high speed flows, and a multitude of ongoing installation and age-related concerns.
Pipeline accidents are something predictive analytics can abolish in the coming years. No more casualties, injuries or long-term negative health consequences for people working on the ground.
That means that clean-up crews will need to be deployed less often, and maintenance teams will be safer when they carry out their functions along the pipeline.
Routine Inspections and Repairs
With a predictive analytics system in place, routine inspections and repairs would be infinitely safer. That’s because the wealth of data that is flowing in from the Internet of Things smart sensors along the pipeline, would be carefully analyzed in real-time for signs of failure.
Predictive analytics uses past data to determine future probability. The longer a smart system runs, the more likely it is to understand when failures happen – thanks to the magic of data mining, artificial intelligence infrastructures, statistics, modeling and machine learning.
A system like this would be able to immediately alert ground teams to a probable leak in their vicinity, theoretically giving them time to escape the hazard, or stop it altogether.
Pipeline Integrity Governed by Predictive Models
The ability to predict risk comes with a host of benefits for midstream pipeline companies. For one, predictive analytics allows a company to understand the condition of their pipeline in real time, and how that integrity will fare in the coming years.
Because of this, budgets for maintenance and repair can be correctly divided and assigned – to the parts of the pipelines that require it most urgently. Predictive models used in monitoring systems, give oil and gas companies the ability to more adequately maintain their pipelines, which in turn drastically reduces accidents, leaks and loss of life.
It is a reality today that pipeline accidents can be greatly reduced and even eliminated with the right technology. Our mIQroAware™ technology for example, does exactly that, using AI and IoT tech. We use predictive analytics to determine when pipeline leaks will happen.
In the age of big data, smart insights and actions will lead the way to safer pipelines for oil and gas crews. Make sure that your company is part of the transformation, to reap the early benefits.