Enabling producers to improve cost competitiveness, reduce operational risks and increase return on capital across their largest and most complex assets.
Enabling producers to expand differentiation, accelerate innovation and drive profitable growth across their most complex, market-facing businesses.
AspenTech enables polymer producers to optimize production, reduce operating costs and get to market faster using models and scheduling tools.
Using Digital Twins to Solve Operational Challenges in Chemicals
Digital transformation success in the chemical industry requires a comprehensive, holistic approach that looks at the entire asset lifecycle – from design through operation and maintenance.
During this webinar, you will learn how Braskem used plant digital twin models with performance engineering solutions to avoid operability issues, adapt to product shifts and reduce costs.
Process data management, optimize manufacturing, KPIs, analytics, manufacturing execution systems, asset effectivness, quality, data historian, process monitoring, process trends, centralized performance monitoring, real-time computation engines, custom records, data storage, data export, tag historians
aspenONE Process Explorer
Decrease reaction times and improve production performance with comprehensive real-time visibility in to your operations.
Aspen Energy Analyzer and Aspen Utilities
Maximize energy efficiency using the insights and energy-saving suggestions provided by pinch technology and utility planning solutions.
Aspen Flare System Analyzer
Reduce overdesign and lower CAPEX by optimizing flare system networks and process design simultaneously with a fast, trusted, integrated solution.
Aspen Custom Modeler
Optimize processes with specialized equipment by creating and sharing custom high-fidelity models with trusted accuracy and flexible workflows.
Aspen Connect Family
Make unplanned downtime a thing of the past with asset performance management powered by Aspen Mtell. This powerful prescriptive maintenance solution models historical and real-time asset, process and maintenance data to predict future asset behavior and stop machines from breaking down.