Case Study

Mitsubishi Chemical Uses Aspen Hybrid Models to Detect and Avoid Product Quality Issues

Mitsubishi Chemical Group Corporation, Japan’s largest chemical company, faced quality problems in the company's polymer manufacturing processes that could not be detected on time, resulting in impacts to production. Using Aspen Hybrid Models with Aspen Plus®, Mitsubishi Chemical Group Corporation had the opportunity to create a robust and performant model that accurately predicted quality issues and supported preventive actions.

Blog

Pathways to Progress: Energy Efficiency

AspenTech provides the right tools to support the energy efficiency journey to achieve lasting results in sustainability goals.

Blog

Forward-looking Companies Show How to Boost Performance and Sustainability

Learn how companies are improving reliability and reducing costs through digital transformation.

Blog

Oops! It Happened Again

Stay ahead of unexpected equipment malfunctions and empower your team with AI and machine learning to accurately detect and prevent breakdowns.

Blog

Sustainability Pathways – Helping Companies Address the Dual Challenge

AspenTech has created structured solutions packages – known as Sustainability Pathways – designed to help companies strategically meet sustainability targets across 11 of the most impactful areas.

Video

Aspen Plant Scheduler with Mtell

Watch this video for an introduction of how Aspen Plant Scheduler and Aspen Mtell work together to predict and minimize the impact of downtime

Video

Improving Resource Allocation and Maintenance Efficiency with Alert Manager

Plant engineers often face disjointed workflows and a lack of critical information to make quick, informed decisions when troubleshooting equipment issues. Now, with the Alert Manager functionality within Aspen Mtell®, engineers have access to a centralized interface that allows them to identify the cause of the problem and prioritize the equipment criticality and failure mode severity for any alerts in queue through an interactive risk matrix. View this video now and discover how Alert Manager can help you to focus on the most critical issues, enabling you to improve equipment performance and increase profitability.

Case Study

Top Diesel and Naphtha Producer Uses Product and Process Quality Analytics to Reduce Flaring, Emissions

ORYX GTL Limited is a gas-to-liquids (GTL) diesel and naphtha producer located in Doha, Qatar. The company is committed to reducing its carbon production through the minimization of flaring. By implementing AspenTech´s product and process quality analytics solution, Aspen ProMV®, ORYX was able to increase its diesel and naphtha yield.

Blog

Mining Indaba 2023: Enabling the Energy Transition

The commitment towards enabling the energy transition was palpable—with key players focusing on collaboration, partnerships, and technology as catalysts for change.

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