Frequent shifts in market dynamics and operational constraints make refinery decision-making increasingly complex. Traditional methods for refinery cost analysis and margin modeling struggle to keep pace, leading to inefficiencies and missed opportunities.

The process industry faces unique and complex transient operational challenges—especially during critical phases like start-up and shut-down.

Microgrids are a hot topic for energy-intensive companies—and for good reason. Industrial assets from refineries and data centers to critical infrastructure must run continuously to meet not only production targets but also net-zero goals.

Process engineers are under pressure to optimize production while managing variable feedstock and shifting process conditions.

The webinar features IDC research on industrial data usage.

The latest features in Aspen GDOT™ V15 offer a new flexible online optimization approach that caters to a wide range of applications, including broad production envelopes, high-value reactors and small-scale column applications.

Safety is a top priority for every process industry operator worldwide. Yet, many engineers still face challenges developing effective safety system designs. Working with multiple disconnected tools often makes it difficult to analyze all scenarios and address design risks, especially when manual data entry introduces errors.

As energy transition efforts accelerate, advanced subsurface monitoring technologies are critical to maximize hydrocarbon recovery and ensure safe, long-term carbon storage.

Optimizing production for industries with complex processes requires precise models. However, models can be challenging to create when processes include custom equipment, not available in standard model libraries.

Process engineers working with specialty chemicals often face the challenge of optimizing production systems—consisting of both batch and continuous processes. However, modeling these mixed processes can be complex and time-consuming.