White Paper

Digital Emission and Efficiency Monitoring Through Modeling Improves Sustainability and Margins at BPCL’s Kochi Refinery

Today, refineries face the difficult challenge of maintaining and improving their gross refinery margin while meeting increasingly stringent emissions regulations. Refineries need to work in anticipation of new evolving emission regulations. Learn how BPCL Kochi refinery used Aspen HYSYS to develop a real-time refinery-wide digital twin for emissions monitoring enabling them to:

White Paper

Optimize Refining Operations Using Plant Digital Twin Based on Molecular Modeling

Finding ways to use petroleum resources while meeting the increasing demand for high-quality products and environmental regulations is one of the key challenges faced by the refining industry.

White Paper

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。

White Paper

Digital Twin y la empresa inteligente

En todo el mundo, las organizaciones lideres están adaptando e implementado tecnologías digitales avanzadas. La travesía de transformación digital cambiará la naturaleza de las industrias intensivas de activos, particularmente los negocios de energía y químicos. En ese contexto, Digital Twin — (copias virtuales de activos físicos y sus comportamientos operativos) tendrán papeles clave. Para los gemelos digitales que creemos hoy, un concepto clave es la inteligencia artificial que proporciona información y asesoramiento sobre los datos virtuales. Descargue este White Paper para conocer sobre estas claves esenciales en su estrategia de digital twin:

White Paper

数字孪生与智能企业

在全球范围内,各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业(尤其是能源和化工企业)的性质。在这种情况下,数字孪生(实物资产及其操作行为的虚拟副本)将发挥关键作用。对于今天我们创建的数字孪生,一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。

White Paper

The Digital Twin and the Smart Enterprise

Across the globe, leading organizations are embracing and implementing advanced digital technologies. The digital transformation journey will change the nature of asset intensive industries, particularly the energy and chemicals businesses. In that context, digital twins — virtualized copies of physical assets and their operating behaviors — will play key roles. For the digital twins we create today, a key concept is the power of AI in providing insight and advice against the virtual data. Download this white paper to learn about these essential keys to your digital twin strategy:

White Paper

Protect Profits and Prevent Margin Loss in Downstream

With downstream margins globally close to a 10-year low, according to S&P Global Platts Analytics and ExxonMobil, companies need to find new areas for improvement. Current digital solutions offer ways plants can move beyond mechanical and equipment investments to drive greater profits. Download this white paper that outlines high impact operational improvements that deliver immediate results.

White Paper

Streamlining Projects with a Modular Approach

This article published in Business Standard [India], by Sunil Patel and Ron Beck, describes how E&Cs can gain a competitive advantage, achieving lower design costs (CAPEX) for clients through modular design; and using aspenONE engineering for design templates.

White Paper

7 Secrets to a Well-Run Plant (for Plant Managers)

In this white paper, plant managers, engineers and supervisors can learn the different ways simulations models can be used throughout the lifecycle of their plant. It focuses on seven areas you can use process simulation software (like Aspen Plus or Aspen HYSYS) for troubleshooting, process monitoring, and real time performance monitoring or real time optimization (RTO).

White Paper

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.

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