화학 산업은 제조 운전 과정에서 엄청난 양의 공정 데이터가 실시간으로 생성됩니다. 이 데이터는 많은 정보를 담고 있으며, 공정 모델링을 함께 적용하는 경우, 보다 나은 운전 의사 결정을 내릴 수 있는 통찰력을 제공할 수 있습니다. 이 웨비나를 통해 증류탑 성능 향상 방안을 비롯하여 첨단 기술을 통해 업스트림 비즈니스 발전을 지원하는 아스펜테크의 비전에 대해 알아보십시오.

Refining and petrochemicals producers face increased pressure to maximize margins while improving safety and sustainability. In this on-demand webinar, learn how Pan American Energy implemented a predictive maintenance solution powered by artificial intelligence to predict critical equipment failures – giving time back to production and reducing operational risk.

¿Como utiliza la tecnología para tomar decisiones de proyectos CAPEX y OPEX en el mercado volátil actual? Muchos líderes de la industria están aprovechando la digitalización en su planificación de escenarios para responder a condiciones que cambian rápidamente minimizando el impacto en los negocios.

Chemical manufacturing operations provide a huge amount of process data generated in real time. This data is a wealth of information and can provide insight into better operational decision-making when tied to process modeling. Our webinar is designed for both process engineers and operators seeking to improve their distillation column performance.

Are you experiencing unplanned equipment failures and higher than expected warranty and program costs? A critical step in the IoT journey is using historical and real-time data to forecast when equipment could fail through early identification of anomalies and fault prediction. During this webinar, Frederic Bastien, VP, Product Management with AspenTech, will discuss how advanced IoT models predict equipment failures and provide the following benefits:

In the current economic environment, gas processors are going the extra mile to reduce operating costs and increase throughput while maintaining product quality. This means driving the gas plant to its limits, avoiding CAPEX in debottlenecking or upgrades, cutting operating costs and quickly developing complete designs.

Manual data transfer is tedious and inefficient, so why is it still a part of your safety analysis workflow? Now available, a Safety Analysis Environment – integrated within your process simulation file – enables you to better size relief devices and document the analysis. This technical webinar will build your knowledge through a series of demonstrations, showcasing how to improve the safety analysis workflows for both FEED and revalidation projects.

Rigorous simulation of crude distillation units (CDU) help refinery engineers make better operational decisions, effectively troubleshoot issues, identify operational improvement opportunities and update refinery planning tools. Learn how to use a CDU model in Aspen HYSYS to identify potential column operational issues using advanced visualization tools and determine the impact that feed crude changes have on yield and operations of the CDU.

A breakthrough innovation, Aspen Hybrid Models™ help chemical companies quickly develop comprehensive, accurate models to address the most complex operational challenges. With the release of aspenONE® V12, Aspen Hybrid Models leverage the power of AI without engineers requiring data science or machine learning expertise—truly democratizing the application of Industrial AI.

Join Frédéric Bastien, VP of AIoT Technology & Product Management, and Adi Pendyala, Senior Director of AIoT Product Marketing, both with AspenTech®, as they explain how the AIoT Hub enables data integration and mobility from sensors, historians and other data sources across the enterprise – from the edge to the cloud - to accelerate the delivery of enterprise-wide visualizations, actionable insights and AI-enabled applications for capital-intensive industries, like yours.