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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:

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Reformer Model-Based Inferential Properties Embedded in APC

A major European refiner implemented Aspen Technology’s reformer inferred property package for control and optimization of their catalytic reformer in two of its refineries. Download this article to learn more about the company's methodology of execution and the benefits derived.

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AspenTech and Hexagon PPM Join Forces for Digital Twin Workflow Solutions for EPC Firms

Download this article featured in engineering.com to learn how the partnership between AspenTech and Hexagon PPM will bring value to customers who are digitizing their engineering workflows.

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Acid Gas Cleaning in Aspen HYSYS®

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.

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Considerations for a Mine Maintenance Program

The era of the intelligent mine is here and the maintenance department of the future will use insight to improve its decision-making ability based on data.

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Activated Dynamics for Compressor Surge Analysis in Aspen HYSYS®

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.

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Efficient Plant: Use Industry 4.0 To Elevate Sustainability

In this article, AspenTech's Paige Marie Morse delves into how digital-transformation technologies can help industrial organizations cut energy costs while reducing environmental impact. Download now to discover how AI and machine-learning technology combined can enable companies to predict asset malfunctions well in advance and have positive financial and sustainable results.

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How to Optimize the Disposal System With Staggered Analysis Using BLOWDOWN™ Technology

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.

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Digitally Enabled Reliability: Beyond Predictive Maintenance in Mining

Real-time condition-based monitoring of assets is an attractive solution for mining companies to minimize their unscheduled downtime and improve reliability of critical equipment. The success of an asset monitoring program depends on how well this data is analyzed, filtered and categorized to enable accurate predictions of impending failures. Focusing on the behavior of an asset only tells a small portion of the story. To fully predict failures, the trends of the entire process must be considered as a whole.

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Jump Start Guide: Sulsim™ Sulfur Recovery in Aspen HYSYS® V9

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. 

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