A new era in Plant Digitalization

Today’s society is growing and learning in a new era, the age of computing. At the same time, year after year, new generations of central processing units (CPUs) and graphics processing units (GPUs) are coming onto the market, all linked to different machine learning (ML) algorithms that are gradually being integrated into society. Most of the algorithms in use today were created decades ago.

How Dynamic Simulation Analysis Can Improve Gas Turbine Feed System Reliability and Availability

This webinar explores how dynamic process simulations, when used during the early design stage, can significantly improve the reliability of your gas turbine feed systems. These simulations can also help prevent costly shutdowns, leading to smoother operations.

Modeling the Tokamak Exhaust Processing System in a Commercial Simulator for Process Monitoring Purposes

Tritium represents a hazard due to its radioactivity and migration properties. Because of these difficulties, ITER, the largest fusion experiment so far, relies on a conservative static procedure to monitor the tritium inventory. Future commercial fusion plants can avoid operation halts if a dynamic monitoring strategy proves itself valid.

ITOP-Practical Process Equipment Training

A comprehensive and engaging training tool designed specifically for operations staff in the chemical and hydrocarbon processing industries. It combined theory sessions, 3D animation, interactive virtual labs, and enables progress tracking with exercises.

Relief Flare Analysis using a Dynamic Simulation Model of your Plant

The common solution in industry when a flare system reaches its limits it to increase its capacity: CAPEX solution. As experts of the domain, Inprocess proposes Dynamic Simulation Model for higher accuracy of behavior prediction as well as for alternative solutions for flare capacity issues.

Relief Flare Analysis using a Dynamic Simulation of your Plant

Inprocess oral contribution to MECCE held in May 2023. This presentation conducted by Dr. Miquel Angel Alos explains the benefits of dynamic simulation as an alternative method for defining relief loads and enhancing the understanding of relief processes.