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Next-generation technologies to create new value across the process value chain

Next-generation advanced process modelling techniques are helping process organisations to identify tens or even hundreds of millions of Euros in additional value through rigorous optimisation of process design and operation.

The techniques are being used to create competitive advantage by significantly accelerating development of next-generation processes or identifying new value from 'already-optimised' plants.

This free one-day seminar demonstrates the application of new process optimisation techniques across the upstream and downstream value chain, from oil and gas processing to petrochemicals plants and their utilities.


09:30 Registration and coffee
10:00 Introduction to Advanced Process Modelling
Advanced Process Modelling combines high-fidelity process models and powerful optimisation techniques to help process organisations create unique competitive advantage. This session explains how next-generation modelling technology is now transforming the simulation and modelling practice that has remained largely unchanged over 20 years, and describes what is now possible.
Mark Matzopoulos
VP Chemicals, Petrochemicals & Refining
10:30 From laboratory to industrial reactor
The complex and expensive reactors at the heart of most chemical plants have a major impact on plant economics, and can benefit significantly from model-based engineering approaches. This is an overview of the evolving best practice in model-based engineering of the catalyst-development-to-detailed-reactor design, with a look at model-based design of multitubular reactors.
Bart de Groot
Principal Applications Engineer
11:00 Refreshment break
11:30 The key role of process modelling in driving Operational Excellence in large-scale petrochemical plants
Large chemical & petrochemical producers can derive significant benefits from the ability to apply a unified model-based approach to optimising operation, deploying a consistent framework that ultimately spans the decision space from supply chain planning to valve actuator. Jan van Schijndel, formerly GTL Technology Manager in Shell, explores the potential for model-based techniques to revolutionise petrochemical operations.
Jan van Schijndel
van Schijndel Strategic Consulting
12:00 Optimising utilities for production sites to reduce energy costs
New technologies with advanced optimisation algorithms provide a new boost to optimising the provision of utilities such as steam, electricity and fuel gas for large chemicals sites, with the potential to deliver additional energy savings on ‘already optimised’ plants of 4–15%. Dorus van der Linden describes how the rollout of gPROMS Utilities Advisor at DSM’s Chemelot site has uncovered significant additional savings in its first nine months of operation.
Dorus van der Linden
12:30 Lunch
13:30 Whole-plant design optimisation
New whole-plant optimisation techniques that consider detailed reactor and separation sections simultaneously make it possible to improve process economics for new process designs by tens of millions of euros per year. The same models, minus design decisions, can then be used for optimising operations.
Mark Matzopoulos
VP Chemicals, Petrochemicals & Refining
14:00 Batch process optimisation
The transient nature and multitude of decisions in batch processes makes optimisation a challenging task. New advanced process modelling tools and techniques make it possible to optimise batch recipes using high-fidelity process models by reducing batch-to-batch variability, reducing waste and increasing throughput.
Mariana Marques
Applications Engineer
14:30 Refreshment break
15:00 New tools to reduce time to market and manage risk
To date, the main use of process simulation and modelling tools has been to analyse "what-if" scenarios in order to improve process design and operation. This is typically done manually as a point activity, using repeated simulation runs. Global system analysis now allows users to systematically explore the behaviour of a system over domains of any user-selected subset of its input and output variables. This provides a quick and easy way to explore the complex process design and operational decision space using high-fidelity models in order to assess risks under uncertainty and screen and rank process design and operation alternatives.
Bart de Groot
Principal Applications Engineer
15:30 Wrap-up discussion
16:00 Finish

If you would like to attend this seminar, please register using the form below.

Registration form

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