Ampliando el conocimiento de los operadores de planta con ITOP: formación más inteligente para plantas más seguras

Del mismo modo que los jardineros no necesitan estudiar Botánica para realizar su trabajo (aunque comprender los conceptos básicos de la Botánica —como la fisiología vegetal, los ciclos de crecimiento, la reproducción y las interacciones con el entorno— les ayuda a tomar mejores decisiones…

Extending Plant Operators’ Knowledge with ITOP: Smarter Training for Safer Plants

In the same way that gardeners do not need to study Botany to carry out their work (although understanding basic Botany—such as plant physiology, growth cycles, reproduction, and interactions with the environment—helps them make better decisions about plant care …

Flare System Assessment using Dynamic Process Simulations

In this session, we have explored how Inprocess applies Steady State and especially Dynamic process simulation techniques to analyze flare loads and flare network behavior. Learn how our expertise has helped clients identify hidden constraints, optimize system performance, and reduce CapEx spending —without compromising the plant safety.

Multi-purpose Dynamic Simulators and Lifecycle Modelling: One Life, Many Uses

The Multi-Purpose Dynamic Simulator (MPDS) introduces an innovative approach that extends the application of dynamic process modelling across the design, commissioning, and operational phases, maximizing its value throughout the plant lifecycle.

Multi-Purpose Dynamic Simulators and Lifecycle Modelling: One Model, Many Uses

This white paper from Inprocess introduces the Multi-Purpose Dynamic Simulator (MPDS) approach—demonstrating how a single dynamic simulation model can be reused throughout the entire lifecycle of a process facility. From early engineering and virtual commissioning to operator training and real-time operational support, MPDS helps reduce project risks, improve safety, and maximize the return on simulation investment.

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.

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.

Inprocess
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