DNV GL has announced the Pipeline Evaluation Portal to ‘connect pipeline expertise with real-time data.’ The PEP was inspired by a survey of 700 plus worldwide pipeline professionals that found that ‘61% believe most pipeline failures could be avoided by investments in new technologies’ and ‘67% say the oil and gas industry needs a new way of monitoring pipelines.’ The PEP exposes DNV GL’s models, data and probabilistic assessment tools to customers through a web browser. The first application ready for testing via the portal performs interactive lateral buckling assessment.
In its in-house publication Perspectives, DNV GL reports the use of data science to improve Italian Snam’s gas transport and to ‘progress from preventative to predictive’ integrity management. Snam is investing over €200 million in a five-year digital transformation and is looking to export its technology to worldwide gas operators through a new global solutions unit. Field staff now use about 1,000 tablet computers under the company’s SMART gas (Sistema Manutenzione Rete Trasporto Gas) maintenance system. Data collected in the field on construction and maintenance operations and from field instruments is now available for analytics in real time. Information is fed back to field workers on a ‘need-to-know’ basis.
Hexagon announced a ‘pipeline solution to end all pipeline solutions’ aka the ‘industry’s first end-to-end fluid solution’ at its recent HxGN Live event in Las Vegas. Turns out that the end to end solution is limited pipeline survey. It comes from the Leica Geosystems unit which has rolled out ‘Captivate Pipeline’ to streamline tracking and reporting of pipeline surveys. CP includes a bar code reader to collect pipe attributes and is integrated with Blue Sky’s Dash pipeline survey software.
Lars Larsson (Schneider Electric) has authored a 14 page, informative white paper, Pipeline integrity: best practices to prevent, detect and mitigate releases.’ The paper covers advanced technologies that enhance pipeline integrity, particularly computational pipeline monitoring (CPM) with reference to the 2012 API RP 1130 standard. CPM methods in use today include line balance techniques, real-time transient modeling, monitoring and statistical analysis of pressure and flow and acoustic monitoring.
Big data specialist Splunk reports on the use of Splunk Enterprise to manage and monitor tens of thousands of pipeline field devices deployed across an unnamed US energy company’s 50,000 mile pipeline network. Log data from Schneider Electric OASyS DNA and other scada systems are amenable to capture into Splunk’s big data lake where a variety of analytical techniques raise alarms.
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