By using robust physical properties databanks and estimation capabilities, engineers are empowered to start modeling efforts with confidence. Using AspenTech’s Best-in-class physical properties for simulations, you have access to deep databanks, powerful property estimation, unique electrolyte data, and intuitive data regression capabilities. Watch now to learn more.

Using AspenTech’s solutions for Environmental and Safety Analyses, engineers are empowered to reduce emissions and mitigate incidents. With aspenONE Engineering, harness the power of greenhouse gas tracking & overpressure protection in a design environment trusted for its accuracy. With this view, intuitively assess new process designs, over pressure analysis, and Greenhouse gas emissions with Utility costs & usage. Watch now to learn more.

Separation by distillation is a key step in many chemical processes.  However, distillation columns are notorious for being difficult to operate, and engineers need to understand how factors including feedstock and feed conditions, internal flow conditions, state of internals affects column performance. Using Hydraulic visualization for distillation in Aspen Plus and HYSYS, gain the unique insights necessary to quickly evaluate how changes to design and operating conditions affects column performance. Watch now to learn more.

Dehydration process optimization is useful for Minimizing Solvent Costs and Meet Gas Specifications to avoid issues in downstream equipment and product sale. With Aspen HYSYS, you have dehydration simulation powered with Cubic Plus Association or CPA for unparalleled accuracy. Watch this video to learn more.

With custom modeling capabilities, engineers are empowered to eliminate barriers to optimize processes with special equipment and operations. With AspenTech’s custom modeling solution, take advantage of flowsheet style simulations, rich plotting, the ability to link models to excel, and built-in property data to build easy custom processes for chemical engineers. Watch now to learn more.

The batch processing industries have numerous opportunities to improve process development and batch operations. In this webinar, Dr. Michael Call, process modeling consultant for Lubrizol, discusses the successes and challenges experienced when applying process simulation to improve specialty chemical batch processes. Examples are discussed, with emphasis on the value added through process modeling, how modern process modeling tools facilitated model development and how similar successes can be achieved within your organization.

Engineering, Procurement and Construction firms (EPCs) are facing the challenge of fewer and smaller projects out for bid, and win rates are critical for their future success. This executive brief provides the winning combination of industry best practices and software that will allow you to create accurate bids, reduce risk and be more responsive to the changing needs of your customers.

The evolution of IIoT and advanced analytics technologies is transforming how industrial companies of all sizes manage their critical assets. In this report, ARC Advisory Group describes how AspenTech Asset Performance Management delivers prescriptive maintenance solutions to process and other capital-intensive industries.

How are today’s industry executives maximizing the reliability and value of their assets? With asset performance management powered by the industrial internet of things and machine learning, companies can leverage both equipment and process data to extend the life of their assets and achieve optimum reliability. In this on-demand webinar presented by ARC Advisory Group Vice President Ralph Rio and AspenTech Senior VP John Hague, you’ll learn how APM 2.0 is enabling companies to break down the wall between operations and maintenance and achieve a higher return on assets.

Imagine a plant that is no longer at risk of a random shutdown. Imagine not worrying about losing a year’s worth of hard-fought optimization value in just two to three days due to a maintenance emergency. Through the science of maintenance, historical and real-time operational data combine to predict when a breakdown will occur with months — not just days — of advance notice.