This “getting started” guide covers the process of creating a new case for Acid Gas Cleaning, setting up component lists and fluid packages, and working in the simulation environment to build the model. It is not meant to be a standalone reference document. Knowledge of Aspen HYSYS V10 is assumed for this guide.

Activated Dynamics enables users to easily transition from steady-state models to dynamic models to better address costly compressor upset and failure. This guide will walk you through the process of using Activated Dynamics to get started with dynamics modeling compressor performance.

Terrain-induced slugging can cause damage to processing equipment, but predicting slug volumes for sizing slugcatchers is challenging. Learn how Aspen HYSYS can be used to predict slug volumes due to terrain-induced slugging.  

In this guide, you will be introduced to the tools in BLOWDOWN that can be used to perform staggered blowdown analysis. You will configure a simple analysis by using the Staggered Analysis tool, as well as a rigorous analysis using the Multi-Vessel Template.

The goal of APC implementation in the chemicals industry is simple: to maximize margins while meeting customer expectations. Aspen DMC3 delivers faster time-to-benefits resulting in a much higher return on investment. Learn how APC is key to achieving operational excellence.

Learn about the underlying technology and validation results for the Acid Gas - Chemical Solvents Property Package in Aspen HYSYS used for amine solvents in Gas-Liquid Systems, such as MDEA, MEA, DEA, PZ and PZ+MDEA.

Sulsim™ Sulfur Recovery in Aspen HYSYS® V9 Sulsim technology, the leading sulfur recovery process simulator developed by Sulphur Experts, has been fully integrated in V9 of Aspen HYSYS, allowing users to optimize the entire gas plant in one simulator. This jump start guide will elaborate on the benefits of using Sulsim Sulfur Recovery in Aspen HYSYS to optimize your Sulfur Recovery Unit (SRU) design and operational performance. 

Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. With asset performance management powered by low-touch machine learning, it’s now possible to extract value from decades of process, asset and maintenance data to optimize asset performance. In this white paper, learn how this disruptive technology deploys precise failure pattern recognition with very high accuracy to predict equipment breakdowns months in advance and advise on prescriptive maintenance. The paper also outlines five best practices for driving state-of-the-art reliability management to increase production and profitability.

世界中で、主要な組織が高度なデジタル技術を採用および実装しています。デジタルトランスフォーメーションの旅は、資産集約型産業、特にエネルギーおよび化学薬品ビジネスの性質を変えるでしょう。こうした状況下では、デジタルツイン（物理的な資産の仮想化されたコピーとその運用上の動作）が重要な役割を果たします。今日アスペンテックが描くデジタルツインの重要なコンセプトは、仮想データに対して洞察とアドバイスを提供するAIの力です。本ホワイトペーパーでは、これからのデジタルツイン戦略で重要になる鍵をご覧いただけます。

Understand the full capabilities of ACCE. Calibration will improve bid accuracy by adjusting costs to those mimicing the users. For those that have just started using ACCE or those that want to do Class 3 estimates for both Owner Operator and E&C.