Shell Leverages Data to Transform from Reactive to Predictive Operations

By Amruta Kanagali

Category:
ARC Report Abstract

ARC Advisory Group analysts attended the OSIsoft EMEA Users Conference in Berlin, Germany in September 2016.

John de Koning, Technology Manager, Foundation Services, Shell Global Solutions, spoke at the conference about the company’s goal to transform its enterprise operations from reactive to predictive by treating data as an asset and deriving maximum value from the data.  For this massive project, Shell leveraged OSIsoft’s PI Collective Manager and Asset Framework (AF) to collect and structure data for further analysis.  The company also carried out a proof of concept project (POC) of applying business analytics to operational data on a use case of carbon capture and storage at its facility in Canada, for which it utilized OSIsoft’s PI Integrator for Business Analytics to integrate PI System data with Microsoft Power BI.

Business Case for Predictive Operations
Shell, an innovation-driven global enterprise, invests more than $1.0 billion globally in R&D each year.  One aspect is to improve asset performance by leveraging the huge volume of data generated in plants and achieve a gradual transition from a reactive to a “predictive” organization.

“The business needs for operations or maintenance are where and how to quickly access information about the operation,” Mr. de Koning explained. 

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Keywords: Business Analytics, Data Model, Model-based Analytics, OSIsoft, Predictive Operations, Shell, ARC Advisory Group.

 

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