Process Simulation / Data Methods

Process Simulation / Data Methods

Abstract

Process simulation and data methods allow Fluor's engineers to create a detailed evaluation of a variety of design cases. These techniques are particularly useful for project execution that poses potential safety risks and abnormal operation cases. This helps Fluor improve expertise, training, quality control, and verification procedures to successfully complete a project.

Client Benefits

Fluor experts use process simulation and data methods in various ways during many project phases, and it is an important tool used by engineering contractors. Fluor's experts in process simulation assist clients in maintaining schedules and providing cost-effective solutions to complex engineering challenges.

Related Technologies

Steady State Simulation
Steady state simulation is used in conceptual design to develop mass and energy balances, generate multiple case studies, sand optimize processes. Thermodynamic models and simulations are validated with plant or pilot plant data.

Dynamic Simulation
Dynamic simulation is used for developing the process control philosophy, troubleshooting, operator training, and safety in design.

Discrete Simulation Programs
Discrete simulation programs are excellent tools for optimization of manufacturing resources, including batch processes. These programs are commonly used for paint and coating, pesticide, herbicide, fine chemical, and batch polymerization facilities.