A Study of Terrain-Induced Slugging in Pipelines Using Aspen Hydraulics Within Aspen HYSYS Upstream
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.
Validation of BLOWDOWN Technology in Aspen HYSYS
See how the results of BLOWDOWN Technology in Aspen HYSYS compare with published results.
Achieving Operational Excellence in the Chemicals Industry Using APC
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.
Acid Gas Cleaning using Amine Solvents: Validation with Experimental and Plant Data
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.
采用APC实现化工行业的卓越运营
在白皮书里,我们探讨先进过程控制(APC)如何提高生产处理量,降低能耗,改善石油化工厂和聚合物工厂的产品质量。
Acid Gas Cleaning using DEPG Physical Solvents: Validation with Experimental and Plant Data
Learn about the underlying technology and validation results for the Acid Gas - Physical Solvents Property Package in Aspen HYSYS used for physical solvents in gas-liquid systems, specifically DEPG.
Low-Touch Machine Learning is Fulfilling the Promise of Asset Performance Management
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. This white paper describes five best practices for driving state-of-the-art reliability management to predict breakdowns months in advance—increasing production and profitability.
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.
デジタルツインとスマートエンタープライズ
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。
Tailoring Your Competitive Advantage - Calibrate Aspen Capital Cost Estimator to Fit Your Business
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.
Thursday, October 16, 2025
Tuesday, October 21, 2025
Thursday, October 23, 2025
Tuesday, October 28, 2025