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Aspen Custom Modelerは、特殊な反応器、膜やフィルムのプロセス、バイオプロセスなど、Aspen PlusやHYSYSの標準モデルで表すのが困難な場合に利用されています。このセッションでは、Aspen Custom Modelerの概要と活用事例について紹介いたします。

Feature engineering, state classification and best model selection can be complex, time-consuming tasks for data science teams. While building customized tools is often the first instinct, today’s Asset Performance Management (APM) applications with built-in industry expertise can help data scientists speed up this process to rapidly design and scale new solutions.

状況の変化やリソースの制約の中で企業が効率の向上を目指す中、APCの新たな進歩により業務が劇的に合理化されます。新しくリリースされたaspenONE®V12は、組み込みAIと並列コンピューティングを備えており、経験の浅いユーザーでもより高速なシードモデル(Seed model)とより正確な推論を生成できます。

How are you using technology to make CAPEX and OPEX tradeoff decisions in the current volatile market? Many industry leaders are leveraging digitalization in their scenario planning to respond to fast changing conditions while minimizing the impact on business.

Aprenda como puede usar el mantenimiento prescriptivo (RxM) para dar un valor real a su organización. En este webinar el experto de AspenTech va a demostrar como los conocimientos basados en datos de AI y de Machine Learning mitigan los problemas de mantenimiento y mejoran la productividad.

The global pandemic has disrupted the process industries as never before. Shifting market demands and an increasingly remote workforce are challenging companies to operate safely, efficiently and profitably. At the same time, they cannot lose sight of their long-term sustainability goals. Fortunately, advances in technology are helping downstream, upstream and chemical leaders not just adapt, but find new ways to improve operations, reduce risk and create value—all while driving toward a safer, more sustainable business.

As predictive and prescriptive analytics become better understood across industries, companies are putting new focus on maintenance maturity and the use of digital technologies. They’re realizing that having a robust maintenance program means leveraging APM technology—and their data—to the fullest advantage.

Today’s refineries are faced with various challenges when it comes to blending, while striving to maximize margins and meet market and regulatory requirements such as IMO 2020. During this presentation, you will learn how multi-period, non-linear blending helps refiners reduce quality giveaway and increase profitability.

Overview and demo from AT experts on Smart Tune- an enhanced optimization algorithm that simplifies the tuning and configuration workflow. Smart Tune allows users to directly specify objectives rather than enduring the complicated tuning process.