In this case study, discover how Sardeolica used prescriptive maintenance to achieve maximum value and expects to reduce maintenance costs up to 10 percent per year.

A major operator providing oil and gas exploration and extraction services in the Caspian Sea region deployed an ensemble simulation workflow utilizing the Aspen Big Loop technology to perform uncertainty and risk estimation as part of the project feasibility assessment, with Aspen Tempest as an orchestrator.

OCP Ecuador is a midstream oil and gas company that transports, stores and ships crude oil. With assets installed in remote locations along its 485-kilometer pipeline, the company needed a maintenance solution that would enable them to predict and prevent equipment failures before they occurred. With Aspen Mtell® prescriptive maintenance, the company can now continuously monitor its critical assets for impending failure, using both process and mechanical data.

Learn how DuPont, one of the world’s largest producers of chemicals and science-based products, successfully migrated over 23 years of historical data in Aveva PI to Aspen InfoPlus.21® in less than 4 days while reducing implementation costs by 45%.

Kaneka Corporation is a Japanese chemicals manufacturer, specializing in the production of polymers and resins. Recently, higher market demand for functional resin was resulting in significantly greater demand for one of Kaneka’s high-value products. The company needed to increase production quickly to meet the rising demand, and it wanted to do so without making any significant additional capital investment.

Neste estudo de caso, saiba como a MOL adicionou recentemente o software Aspen Mtell® da suíte de software AspenONE® Asset Performance Management (APM) ao seu portfólio de soluções AspenTech para aumentar a eficiência a eficiência operacional e aumentar a sustentabilidade. Isso contribuiu significativamente para as operadoras na aceleração dos planos de digitalização. A Aspen Mtell tornou-se parte integrante do plano estratégico de digitalização da MOL, que inclui iniciativas para extrair maior valor de seus ativos e aumentar a disponibilidade geral da planta para mais de 96%.

En este caso de estudio, descubra cómo OCP Ecuador utilizó el mantenimiento prescriptivo para identificar con precisión las fallas de los activos y reducir los costos de mantenimiento. El retorno de inversión inicial se triplico en menos de cinco meses. OCP Ecuador tiene previsto ampliar Aspen Mtell para proteger 13 activos adicionales en un futuro próximo y planea ampliarlo a toda la empresa en los próximos años.

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.

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.

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.