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.

Case Study

Researchers Develop More Efficient Oleochemical Fractionation with AspenTech® Performance Engineering

This case study details the work done at the Universiti Malaysia Pahang to research oleochemical fractionation to how to make the process more sustainable, reducing process carbon footprint. The case study explores the AspenTech solutions implemented as well as the value created.

Case Study

Petro Rabigh Uses Aspen Hybrid Models™ to Improve Margin and Reduce Operational Risk

Petro Rabigh wanted to improve margins for refinery products, to do so, they needed to identify the most optimal production yields and qualities of their refinery and petrochemical products.

Case Study

Una refinería de petróleo sudafricana utiliza una solución de estimación del ciclo de vida para ofrecer estimados de costos de capital consistentes y acelerar la ejecución del proyecto

Conozca cómo SAPREF, la refinería de petróleo crudo más grande de Sudáfrica, utilizó Aspen Capital Cost Estimator™ (ACCE) para abordar los desafíos que enfrenta su grupo de estimación, incluidas las importantes limitaciones de recursos y la falta de pautas, herramientas, sistemas y servicios integrales establecidos.

Case Study

HITA NV Uses Subsurface Modeling Capability to Create Accurate, State-of-the-Art Depth Models

HITA NV is a Belgian company focused on the development of deep geothermal energy. To reduce risks in deep geothermal projects, HITA used seismic modeling solution, Aspen SKUA-GOCAD to integrate and covert data, enabling them to:

Case Study

Japanese Pharmaceutical Company Improves Quality with Aspen Plus®

A 140-year-old global pharmaceutical company with headquarters in Japan adopted Aspen Plus to improve the synthesis of a new active pharmaceutical ingredient (API). Aspen Plus provided an in-depth understanding of a new API process leading to equipment improvements and optimized recipes that enabled development of a continuous process.

Case Study

SAPREF Improves Project Execution and Reduces Bottom Line Project Costs

Learn how SAPREF, the largest crude oil refinery in South Africa, used Aspen Capital Cost Estimator™ (ACCE) to address challenges faced by its estimation group, including significant resource limitations, and a lack of established guidelines, tools, systems and comprehensive historical data.

Case Study

SABIC Continuously Optimizes its Utility System to Reduce Emissions and Increase Plant Energy Efficiencies

SABIC is a leading multinational manufacturing company, specializing in the manufacture of petrochemicals, chemicals, industrial polymers, fertilizers and metals. Energy efficiency is a key focus area for SABIC. To close the gap towards achieving 2025 goals, SABIC identified the need to quantify energy losses and execute actions to optimize operations while addressing daily plant challenges.

Case Study

Aspen Mtell® Machine Learning Finds Cause of Compressor Failures at LNG Facility

Read how this LNG facility used Aspen Mtell prescriptive maintenance to provide up to 61 days advance notice of catastrophic compressor failures, preventing an economic loss of more than $40M USD per occurrence. Quick to implement and readily scalable, the solution provided key insights into the root cause of the failures.

Case Study

Production Optimization of Natural Gas Pipelines & Field Production Facilities Using Performance Engineering

Learn how YPFB Andina was able to increase their gas production using an integrated model solution that was able to provide a $280M increase in revenue in 1 year.

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