Case Study
Brazilian Pulp Producer Improves Planning, Decision-Making with Industrial AI
Discover how Eldorado Brasil, a leading pulp producer, revolutionized their production processes with industrial AI. Seeking to optimize efficiency, reduce waste and minimize resource consumption, Eldorado used Aspen Hybrid Models, combining the power of AI with Aspen Plus® first principles modeling.
Case Study
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.
Case Study
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%.
Case Study
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%.
Case Study
Petrochemical Company Reduces Energy Consumption at its Pyrolysis Furnaces
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™.
Case Study
Polymers Producer Uses Digital Process Analysis to Reduce Costs and Advance Sustainable Operations
A polymer producer that specializes in the production of raw materials for the plastics industry, including polypropylene, polyethylene and masterbatch, needed a solution that would allow them to achieve the right balance between producing high-quality products and keeping the production costs in line. The company selected Aspen ProMV®, which allowed them to automate process analysis and monitoring.
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