John Campbell (AspenTech) shares how to use seed models (less than perfect models based on historical data or similar processes) to shorten the time before a controller is turned on to accrue benefits earlier and potentially develop multiple controllers at once (in parallel).

It’s critical to make sure your refinery planning models are in sync with changes in operating conditions or catalysts. However, the extensive effort required to update planning models means that many refineries are dependent on external consultants — thereby hindering regular updates and leading to lost profits. The latest innovations in Aspen HYSYS® give users a streamlined workflow, so refineries can update their Aspen PIMS™ planning models in-house, reduce the time and effort required for updates, and much more. Learn how you can leverage Aspen HYSYS® to boost profits through greater planning model accuracy!

Today when refineries worldwide are facing declining profit margins it is crucial for every refinery to ensure their planning models are up-to-date and effective in making plans that maximize profits. The latest Aspen HYSYS® V9 provides a much improved workflow to update your planning models. The latest improvements allow users to, save significant time and effort with the improved case study utility, interact with reactor models through Microsoft Excel® and transfer updated sub-models to Aspen PIMS™ and much more!, Today when refineries worldwide are facing declining profit margins it is crucial for every refinery to ensure their planning models are up-to-date and effective in making plans that maximize profits. Aspen HYSYS provides a streamlined workflow to update your planning models. The latest improvements allow users to, save significant time and effort with the improved case study utility, interact with reactor models through Microsoft Excel® and transfer updated sub-models to Aspen PIMS™ and much more!

As the process industries face the challenge of digitally transforming their plants and assets, they need tools and technology to support this change. Integrating the use of process simulation, operator training systems (OTS) and digital twin technology is an essential first step on this journey. Learn from Emerson and AspenTech experts how you can leverage an integrated technology solution to bring plants online faster and manage unexpected shutdowns with confidence.

Accurate and rigorous design of depressurizing systems — including staggering the release of contents into the flare system to minimize peak loads — is a challenge, but it’s critical to making sure the process operates safely. During this webinar AspenTech safety product experts discuss BLOWDOWN Technology best practices. You’ll also see demonstrations on how to model an entire depressurization system, individually or staggered.

复杂的工艺对炼油厂的运营提出了挑战。由于涉及诸多风险，因此在更改任何运营方式之前，必须对工厂行为进行准确的分析。专门针对炼油的过程模拟技术（例如艾斯本 HYSYS Petroleum Refining®）使工程师能够准确地模拟炼油厂运营过程，以便做出更好的决策。学习如何利用最新的创新技术做出更好的运营决策。

このセッションは全４回（固体基礎、晶析、ろ過、乾燥）からなるバッチ固体プロセス全体最適化の第１回目のセッションです。このセッションではAspen Plusで固体を取り扱うための基本的な設定や、固体特有の物性である粒径分布や含水率の設定方法について紹介します。 Aspen Plusの固体モデルにより、プロセス最適化の範囲を従来の気液連続プロセスから固体バッチプロセスまで拡大することができ、固体プロセスを含むプロセス全体の最適化が可能となります。

Complex processes present a challenge for refinery operations. The operational risks involved call for accurate analysis of plant behavior before making any changes to operations. Process simulation technology specialized in refining such as Aspen HYSYS Petroleum Refining® enables engineers to accurately simulate refinery operations to aid better decisions. Learn how you can leverage the latest technological innovations to make better operational decisions.

YPFB plays a vital role in the exportation of gas in South America. When production started to decline in two of Bolivia’s major natural gas fields, YPFB needed to overcome this challenge and still meet contractual obligations.

¿Como utiliza la tecnología para tomar decisiones de proyectos CAPEX y OPEX en el mercado volátil actual? Muchos líderes de la industria están aprovechando la digitalización en su planificación de escenarios para responder a condiciones que cambian rápidamente minimizando el impacto en los negocios.