Non-Quantifiable Benefits

  • 1. Monitoring of operations and production activity for the entire fleet using a common real-time data infrastructure in which the EIDIs would act as systems of record in all refineries. The EIDI would monitor the entire value chain using the same technology and data access. Future use cases could leverage existing EIDI data once deployed on an enterprise-wide basis. This would significantly reduce project costs versus specifying a real-time data platform for every site.
  • 2. Providing a safer and environmentally sound workplace by continuously monitoring refinery/plant conditions and emissions. The company will use the EIDI to track sustainability initiative progress. For the plants, it can calculate actual emissions versus allowable emissions for a given time period and alert personnel if exceeding maximum allowable thresholds.
  • 3. Standardizing the way employees access and analyze data as well as how reports are generated for both internal consumption and external compliance reporting. This would increase productivity by reducing unnecessary time to acquire and analyze data from different systems.
  • 4. EIDI standardization reduces the need for corporate IT to deploy and support multiple EIDI platforms. Software systems can ingest and transfer data through reusable, non-customized methods, requiring fewer corporate IT resources to develop custom interfaces. Training costs also decrease when utilizing and supporting a single EIDI platform.
  • 5. Integrating plant and refinery information with corporate business systems, such as SAP and big-data analytics such as Tableau and Microsoft Power BI. These tools would become more effective by utilizing highly contextualized operations, production, and equipment performance data to achieve strategic corporate objectives. The data could also be placed into a data lake for other analytic software systems.
  • 6. Providing secure access to EIDI information via mobile devices to appropriate personnel to improve productivity and awareness when away from their office or workstation.
  • 7. With each EIDI acting as the refinery or chemical plant system of record, the long-term highly granular historical data archive would provide accurate information for possible inquiries such as emissions activity, regulatory audits, cybersecurity audits, and information requests for litigation. Enabling best practices would avoid public scrutiny.
  • 8. The EIDI systems would benchmark existing refinery or chemical plant performance and would continuously monitor improvements made as well as subtle long-term degradation of assets.
  • 9. The Proclndustries upper management team would improve collaboration among departments by utilizing the EIDI platform for their own data analysis as well as for interdepartmental initiatives. Siloed data barriers would be eliminated, as the EIDI would become the central real-time data repository.
  • 10. Information collected by the EIDI would create an information archive on how best to operate the facilities. This would benefit Proclndustries when plant operators, engineers, or maintenance employees leave or retire. The refineries or plants could more quickly train new employees.
  • 11. Using the EIDI's asset framework (AF) template object models would significantly reduce the time to roll out an EIDI at each facility, leveraging and duplicating what was implemented at the South Texas refinery. Newly acquired or newly built facilities could quickly deploy the EIDI.
  • 12. It would be easier to recruit new technical people, especially recent graduates by enabling them to use the latest technology to examine data and create modern-day analytics.
 
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