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.

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%.

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%.

A global petrochemical producer wanted to improve monitoring and efficiency, specifically starting with energy consumption, of its pyrolysis furnaces by integrating a predictive vision. With the current process, it was challenging to maintain unit efficiency and stay at a consistent operating level. The company was able to solve these challenges by implementing Aspen ProMV™.

A leading chemical company with a competitive business portfolio was looking for a scalable prescriptive maintenance solution that could be deployed quickly. Aspen Mtell® has enabled them to avoid environmental health and safety issues, and also minimize their losses.

In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive efficiencies across plant operations and increase sustainability. This made a major contribution to operators in accelerating digitalization plans. Aspen Mtell has become an integral part of MOL’s strategic digitalization plan, which includes initiatives to extract increased value from its assets and increase overall plant availability to 96+ percent.

En este caso de éxito, descubra cómo MOL agregó recientemente el software Aspen Mtell® del paquete de software AspenONE® Asset Performance Management (APM) a su cartera de soluciones AspenTech para impulsar la eficiencia en las operaciones de la planta y aumentar la sostenibilidad. Esto supuso una importante contribución para los operadores a la hora de acelerar los planes de digitalización. Aspen Mtell se ha convertido en una parte integral del plan de digitalización estratégica de MOL, que incluye iniciativas para extraer mayor valor de sus activos y aumentar la disponibilidad general de la planta a más del 96 por ciento.

FP Corporation (FPCO) is Japan’s largest manufacturer of food containers and a logistics service provider delivering a range of products to stores engaged in food distribution. They needed to provide stable and responsive food distribution in an efficient and environmentally friendly way.

After the company identified uncommon operating procedures at each of its many refineries — which led to inefficiencies and lower margins — Shell launched “Enterprise First,” an initiative designed to standardize processes and technology across the organization. The key to driving this strategy — and meeting its objectives — is an integrated aspenONE® Supply Chain Management solution that helps Shell optimize refinery production, reduce costs and increase margin.

Una de las empresas más grandes a nivel mundial para productos químicos, plásticos y de refinación utilizó Aspen ProMV para entender y resolver sus problemas de producción causado por un problema de alta viscosidad en el aceite de enfriamiento. En este caso de estudio conozca cómo Aspen ProMV permitió a la empresa a destacar las principales variables de proceso que están altamente correlacionadas con problemas de viscosidad y que guio rápidamente a los ingenieros de proceso al problema subyacente para limitar las pérdidas.