Emerson adds Sigmafine software to validate mass balance and yield accounting data

Emerson adds Sigmafine software to validate mass balance and yield accounting data
Emerson Adds Sigmafine Software to Validate Mass Balance and Yield Accounting Data
Published: 27 October 2019 - 4 a.m.
By: Martin Menachery
To help manufacturers ensure the highest accuracy and confidence in plant measurement systems, Emerson has added the Sigmafine platform to its software portfolio. Through a partnership with parent company Pimsoft, Emerson is providing customers with an enterprise-wide platform that validates the accuracy, reliability and usability of plant measurements to deliver sustainable business results.

Having accurate mass balance and yield accounting data is a critical business practice to mitigate financial risk and reduce losses in the oil and gas, chemical, refining, and food and beverage industries. As manufacturers embrace digital transformation technologies and programmes, accuracy and validation of mass balance and yield accounting data is the foundation to assess, predict, model, and optimise operations.

Real-time digital transformation infrastructures depend on data quality, and this partnership allows Emerson to offer unparalleled confidence in mass balance data from plants and across the enterprise,” says Julie Valentine, director of refining flow solutions. “Quality assurance of data helps companies reduce costs, improve asset utilisation, streamline business processes and maximise profitability – all critical for Top Quartile performance.”

Emerson’s flow measurement technologies and mass balance and loss control consulting expertise combined with Sigmafine’s software platform provide a comprehensive solution that helps customers validate and reconcile data quality of field measurements for custody transfer, plantwide material balances and yield accounting tasks.

Having a reliable dataset for mass balance and yield accounting systems can significantly improve operations, prevent theft, reduce losses and mitigate financial risk. This reliable dataset is also a critical enabler for maximising the accuracy and return on investment of digital transformation and optimisation projects.

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