Discover how PETROLTERV saved significant CAPEX on a revamp project due to greater design accuracy enabled by the integrated aspenONE Engineering suite of products. Due to efficiencies gained from using this integrated software suite, PETROLTERV no longer needed to outsource a large number of engineering projects, such as air cooler design, pressure safety valve sizing and more. By increasing their ability to complete more projects in-house, PETROLTERV has reduced project costs, as well as delivered those projects on time and on budget.

Learn how a European refinery saved $4 MM per year by implementing an automated fouling monitoring application utilizing Aspen HYSYS, Aspen EDR and MS Excel.

Learn how Fluor created a digital twin of their entire sulfur recovery unit, including recycle streams, in a single file using Aspen HYSYS® with Sulsim. Read this case study to find out how AspenTech’s solution for SRU optimization allows users to increase production, reduce OPEX and meet emissions regulations by modeling the complexities of the SRU and the full gas plant.

エフピコは、日本最大の食品容器メーカーであると同時に、流通サービスプロバイダーとして食品流通関連の店舗（スーパーマーケットなど）に各種製品を納入しています。また、使用済み食品容器やペット ボトルのリサイクルを行う環境先進企業でもあります。

GlaxoSmithKline (GSK) wanted to review the structure of its batch production record and associated workflows as part of a continuous improvement process. Reducing batch review time usually results in faster batch cycle time, meaning higher throughput at the production facility and faster cash-to-cash cycle time. AspenTech was selected for this process due to integration with other solutions, such as Aspen InfoPlus.21® and GSK’s existing plant automation software (DCS). The pilot project was a resounding success, reducing order preparation time by 95% and record review time by over 50%.

In this case study learn how a global oil and gas company was able to detect and predict a variety of pending equipment failures. Download today to uncover how Aspen Mtell enabled the company to correctly identify all reported events – as well as unknown problems.

現在のVUCA環境において、新たなレベルの安全性、持続可能性、および収益性を実現する自律／半自律プロセスの開発のために、デジタライゼーションやAIに目を向ける企業が増えています。自己最適化プラントへのジャーニーはそこから始まります。自己最適化プラントがどのようにして以下のことを可能にするのか、是非このエグゼクティブブリーフでご覧ください。

Alors que nous nous adaptons à la "nouvelle norme" de volatilité extrême, d'incertitude, de complexité et d'ambiguïté, les entreprises du monde entier reconnaissent la nécessité d'exploiter leurs actifs et leurs chaînes de distribution avec une plus grande résilience, flexibilité et agilité afin de pouvoir répondre aux conditions changeantes du marché.

A specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.

This petrochemical company launched an Aspen ProMV™ pilot project to investigate light component losses that go to the bottom of a fractionation column and pressurize the downstream column. Using Aspen ProMV for continuous processes, a model was developed, and bad actors that are highly correlated to the light product loss were identified. Aspen ProMV’s optimization tool was also utilized to provide better operating conditions to reduce losses.