Achieve savings in both engineering hours and CAPEX with modular design through the use of stanadardized designs in re-useable templates.

Definir su futuro significa construir sobre el pasado. El mundo está en constante cambio y AspenTech tiene la experiencia para prepararlo para el futuro. Lo ayudaremos a alcanzar nuevos niveles de confiabilidad, eficiencia y agilidad aprovechando el poder de la inteligencia artificial para ejecutar sus operaciones de manera más segura, ecológica, prolongada y rápida. Su futuro comienza ahora. Mire este video para saber AspenTech le ayudará a dar el siguiente paso hacia el futuro.

Multiphase flow through pipes is characterized by the flow regime, liquid hold-up and pressure gradient. Accurate prediction of these flow attributes is necessary for designing and maintaining pipelines and flowlines in the oil and gas industry. Aspen HYSYS provides a number of flow correlations for modeling multiphase pipe flow. To aid the user and provide a basis for comparison, the performance of correlations for different pipeline geometries, fluids, and flow regimes was analyzed. This paper discusses these analyses.

With downstream margins globally close to a 10-year low, according to S&P Global Platts Analytics and ExxonMobil, companies need to find new areas for improvement. Current digital solutions offer ways plants can move beyond mechanical and equipment investments to drive greater profits. Download this white paper that outlines high impact operational improvements that deliver immediate results.

Column Analysis in Aspen Plus allows you to view the whole column, identify any hydraulic issues, understand the operating range, and communicate your findings. See the impact of modifications in packing and trays, and cost as you make changes.

AspenTech conducted a survey of 240 downstream customers to uncover thoughts and opinions on digital optimization and industry trends for 2018 and beyond. This white paper details the results of the survey and provides the reader with insights on the focus of increased reliability, a top priority for many refinery organizations.

Watch this video for an in-depth view of how Aspen Collaborative Demand Manager for Chemicals can improve your forecasting and demand management process.

Are you struggling to effectively organize and analyze your data to troubleshoot bad batches? Multivariate analytics will quickly deliver insights that can increase batch quality, yield and throughput. Manufacturers have already realized 10 percent increase in production and 50 percent reduction in quality variability through the use of such tools. Download this paper now to learn how to get truly meaningful insights from your batch process data for optimal plant performance.

When hyper compressors fail, the cost of production losses can range from tens of thousands to millions of dollars per occurrence. In this white paper, learn how companies are using Aspen Mtell to recognize the early indications of hyper compressor failure, reducing unplanned downtime and catching problems earlier—allowing more lead time to take appropriate action.

Data analysis can get bogged down in identifying, selecting, and preparing data. These tasks consume 50% or more of the time spent doing analysis. Now, with Maestro for Aspen Mtell®, you can automate much of that data preparation. Through automated workflows, time and effort is minimized while reducing the skills and experience required by the end users. Maestro also tackles the selection of the hyperparameters that control the machine learning algorithm and automates feature selection to further reduce the need for data science skills. Watch this video to learn how this powerful AI technology can help you build better Agents in a fraction of the time.