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By downloading this case study, you will learn how a leading gas pipeline company cognitively identified efficiency issues along the Gas pipeline, by automatically tracking Stations which had the highest contribution to performance of the pipeline.
Multiple inefficient stations on a Long-Distance Gas Pipeline hampered the overall efficiency of the pipeline leading to sub-optimal usage, wastage of natural resources and reduced revenues for the company.
What We Did:
DataRPM’s CPdM Platform empowered the client to identify stations which had the highest contribution to pipeline performance and the reasons for varying performance. For each of the identified stations, key factors which were impacting the individual station performance were analyzed
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