SimSci-Esscor

ROMeo Version 4.0 for Plant Modeling and Optimization
With version 4.0, the ROMeo software is now integrated within SimSci-Esscor’s SIM4ME common modeling environment. This environment provides a consistent user interface, common data model, consistent thermodynamics, and common software modules across different simulation applications to increase productivity while minimizing training requirements. Utilizing patented technology, version 4.0 of the ROMeo software enables users to employ a focused strategy of data re-use across the full range of simulation applications, from steady state process design to dynamic simulation and optimization. This includes the ability to open a PRO/II process model from within the ROMeo application, allowing users to take existing off-line models on-line for performance monitoring and optimization, while retaining equity in previously developed models. The version 4.0 release also features a true modular "subflowsheet" capability that allows users to manage multiple independent models as sub-flowsheets or import one flowsheet into another.

SimSci-Esscor’s PRO/II
This jointly developed interface enables SimSci-Esscor’s PRO/II process simulation users to easily integrate Haverly System’s H/CAMS crude-assay information into their process simulations to help further improve yields and profitability. Using the new interface, PRO/II users can: access H/CAMS complete crude libraries; add and/or modify libraries; predict yields and properties of user-defined blends; analyze and prepare data on single or mixed oils; group crudes; display detailed hydrocarbon information from chromatographic analyses; generate files that link reports with other models, programs, or spreadsheets; and select from English, metric or other units for entering and reporting data.

Material Balance Module (MBM)
The Material Balance Module (MBM) for this firm’s Advanced Real-time Performance Modeling (ARPM) suite, is an easy-to-use, flowsheet-based solution that uses advanced mass and volume reconciliation to reveal sources of random error, bias, and gross error that jeopardize the accuracy of real-time plant data. The software interfaces directly with a plant’s IT infrastructure to automate data reconciliation without additional routine data entry. It combines advanced reconciliation methodologies within a flowsheeting tool to automate creation of daily material balance reports for each major unit, identify bad flow instrumentation, and aid in pinpointing material loss locations. The module is highly scalable. A user can, for example, create a simple material balance representation of plant streams and units and then extend the platform later to achieve more rigorous heat and material balance, online performance monitoring, and operations decision support modeling that may be needed for advanced closed loop optimization or real-time enterprise control.