Pertamina has implemented and integrated Sigmafine 4 with refinery oil accounting system (ROAS) to generate Monthly Quantity Accounting Report (MQAR). Hear how reconciled and validated data from Sigmafine contribute in reducing calculated working loss and total loss up to 36% and has reduced production costs.

SigmafineHub: A Digital Asset Factory for the enterprise For over 25 years, Sigmafine systems have been reliably delivering reconciled data to users, applications, and business processes across multiple verticals in the process industries. In today’s terms, the purpose of Sigmafine is to “Transform raw data and signals into digital assets” to support and enable advanced …

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Hear how Sigmafine was expanded at ISAB to include the monitoring of power generation assets and utility networks. Giving insight and accurate production accounting for this integrated refinery & power generation site that is critical to maximize operational and financial performance.

Hear how Sigmafine has led to a faster validation and balancing of process measurements to support both operations and corporate finance.

Sigmafine extended capabilities were recently evaluated in the context of a proof of concept project to perform the daily mass & component balance; monitor the data quality of the meters, estimate material type and chemical properties of unmeasured inventories and flows. Hear about some of the findings in this presentation.

This presentation shows Codelco’s journey in adopting Sigmafine as its corporate metallurgical balance system, the difficulties faced, the benefits obtained, the actual state of the overall implementation, as well as the challenges for the coming years.

At the Billings refinery, Sigmafine is used to facilitate communication and drive data-informed decisions across the organization.   Accounting for timely and accurate inventory and production numbers involves taking disparate Data inputs from multiple sources and departments.  This information then needs to be conditioned in a manner that can provide a meaningful and accurate dataset to the data consumers.  The information needs to be timely, accurate, verifiable, and consistent with P66 business processes.  This presentation will discuss how Sigmafine is used to achieve this and the benefits derived.

A look inside on how Hemlock Semiconductor uses Sigmafine for day to day production of highly pure polysilicon for the electronic and solar power industry

We will review the basic validation checks for missing data (I/O timeout), flat-line data (sensor malfunction), out-of-range data etc., and issues in source instrumentation/control system, network connectivity, faulty data collection configuration (scan rate, unit-of-measure, exception/compression specs) etc.  We will also cover advanced analytics, including machine learning and data reconciliation with illustrative use cases.

Learn how Astron Energy uses Sigmafine to monitor the data quality of the raw measurements used to perform the daily refinery plant mass balance and monthly production accounting as well as the validation of the refinery daily & monthly stock balance.

Slovnaft production accounting team developed a set of metrics based on the indicators Sigmafine provides to measure how the balance is performing and the improvements over time.

Learn how the Sigmafine model is supporting operations both with identification of meter issues and to perform loss allocation by source at the Slovnaft Refinery

Learn how Shanghai SECCO Petrochemical has been using Sigmafine since 2005 as main Production/Yield Accounting and Data reconciliation System to support the accounting department and the benefits achieved during the Sigmafine journey.

Hear about the importance of accurate data and robust accounting processes with “Digitalized” aids, the use of Sigmafine in internal controls at Reliance and journey of Sigmafine software upgrade to latest version with the management focus, meticulous planning and seamless transition at all manufacturing divisions and the benefits realized at one of RIL Petrochemical complex, Dahej Manufacturing Division will be presented.

In 2020, “Digital Transformation” and advanced manufacturing strategies like industry 4.0 are top of mind for everyone in the process industries. It is transforming how we look at plant operations. It is impacting how we work and collaborate. It creates demand for new skills in data engineering and data science. It calls for new sensors, edge data processing and better data management practices. It is changing how business processes are designed and run. It is causing changes in information systems across the value chain of the enterprise. The ripple effects of Digital Transformation have just begun.