Oil & Gas
Reduce operating costs and improve safety by deploying real-time proactive pipeline optimization systems
There are 2.5 million miles of pipelines that distribute oil and gas across the United States. To increase safety and improve efficiency, the pipeline industry has invested heavily in standard sensors to measure flow, pressure, and compressor conditions. Modern acoustic and ultrasonic sensors are also being added to monitor other factors such as corrosion and soil movement and their impact to the pipeline. The combination of all these sensors generates large amounts of data. An average 100-mile long pipeline segment alone can generate 50 gigabytes of data which amounts to many terabytes across all pipelines worldwide.
The pipeline industry is continually seeking new ways to use sensor data to become more proactive at reducing risk, lowering maintenance costs and increasing overall pipeline uptime. An edge intelligence solution can play a major role in this by monitoring and performing analytics on streaming data in real-time and by responding automatically to issues detected by the sensors. For example, it can immediately shut down a valve and send an alert to a mobile device to avoid a major disruption or damage to a pipeline.
The real-time and proactive nature of an edge solution cannot be duplicated by a cloud-only solution. Network latency and reliability are two major inhibitors and transporting such a large amount of data to the cloud is also cost prohibitive. With edge intelligence, pipeline operators can lower costs and risk, while increasing data throughput and customer satisfaction and confidence.