OCP Ecuador Uses Prescriptive Maintenance to Accurately Identify Asset Failure and Reduce Maintenance Costs
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.
DuPont Migrates Data to Aspen IP.21 in Hours Not Weeks
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%.
Japanese Manufacturer Uses Dynamic Simulation to Increase Productivity with No Additional CAPEX
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.
Grupo MOL impulsiona a digitalização em parceria com a AspenTech
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%.
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.
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