Keeping Feedstock Flexible to Improve Margins

In this article we outline how to improve margins through feedstock flexibility

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Process Digital Twin Automated Reporting Reduces Combustion Emissions

This whitepaper examines the combustion by-products generated by three different compressor drivers on a floating, production, storage and offloading vessel using Petro-SIM process simulator. Using the information generated from the simulator, operators can compare the results against regulations, and then adjust combustion design and operations accordingly to satisfy both environmental standards and profit expectations.

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Mercury model validation

Predicting solubility of Mercury in natural gas systems and petroleum fluids with Multiflash Software.

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Enhanced Unit Monitoring Enabled by Digital Twin

Understand how a process digital twin drives agility and convergence in understanding actions across the whole business. The key inputs used for a process digital twin, key tasks performed and how KPIs are calculated. Includes a case study of a pilot process digital twin at Saudi Aramco. Published in Hydrocarbon Engineering and co-authored by Saudi Aramco.

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The Platform for Advanced Control and Estimation Plays a Key Role in Air Liquides Drive for Operational Excellence

Multivariable Model Predictive Control (MPC) has helped Air Liquide (AL) for more than twenty years control Air Separation Units (ASU’s). AL realized that their legacy MPC software was becoming increasingly costly to maintain and was not taking advantage of technological progress in the field. Platform for Advanced Control and Estimation (PACE) was selected to be AL’s new standard MPC platform. A multi-year campaign is underway to deploy PACE at AL’s operational facilities domestically and internationally.

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Scaling Value Capture with Digital Twins

An Integrated Asset Model operationalized by real-time data to be used for business-wide situational awareness and decision-making requires digital twins. The kind of digital twin, and how big and fast it will deliver value is key for integrated asset and supply chain optimization. Starting at the foundational molecular level different digital twins cover various aspects and serve distinctly different purposes. Connecting these digital twins, in a scalable way is an assured way of achieving sustainable value capture

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Outlook for Energy Management in Refining, Petrochemical and Chemicals

The Energy Transition is happening. Every area of business is affected and effective energy management is vital according to the findings of this global survey. There is a desire to increase operational efficiency, empowering owners to stay competitive in their pursuit of decarbonization, however it is needs to be addressed through real-time data, site-wide digital twins, and proprietary analytics capability.

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Manage Energy Cost and Carbon Digitally

Asset owners have to navigate a path in relation to longer term success of the energy transition. The pursuit of energy efficiency remains the easiest and lowest risk source of energy cost reduction and decarbonization. However, current methods often lack structured and automated digital technologies to identify and sustain performance improvements. Digital energy management systems kick start and stewards a facility’s energy transition with advanced digital technology to identify, implement and sustain cost and carbon performance.

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Buy time digitalize and transition

Short-term productivity and efficiency optimization buys time; digitalization maintains the gains and savings and portfolio management positions for longer term energy transition. Out of all the levers available to producers for improving profitability and cash flow, only two are focused on driving fundamental change in the production core. Driving these levers with digital transformation approaches results in a fundamental shift in asset portfolio ‘production core’ and is the only way to lead to a more resilient or sustainable future.

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Mitigating corrosion with a Digital Twin

Data-driven engineering helps engineers to identify ways to improve predictions of corrosion.

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