Lifecylce OTS, Using Simulation Models from Engineering Design to Plant Operations
Deep train your workforce before plant start-up and reduce future operational issues using dynamic process simulation all along asset lifecycle.
Supporting the development of plant operators’ competence
Plan and follow-up operators’ professional development by digitizing and centralizing in a single training environment all new and old learning material.
Steam Network Operation Assurance
Apply dynamic simulation to mitigate the impact of spurious upsets, which could affect the operability of your steam and electrical network.
Real-Time Optimization opportunities in NGL recovery plants
APC has been applied broadly in NGL recovery plants, but there are still some millions left on the table that can be captured by RTO applications, since optima do not sit on corners.
Cooling Water Networks analysis
Inprocess simulation analysis of the cooling water network helps companies to improve the performance of the plant. When this study is carried out, the result is that bottlenecks are identified and this way, the most critical points can be addressed with optimal solutions to improve the performance of the cooling water network …
Beyond Guesswork
During a flare release, the temperature of the flare network has a strong dependence on the relief source and on ambient conditions. During a relief of hot gases, contraction of the gases could occur due to the cool-down to ambient conditions. The rate of contraction velocity is accelerated if cooling leads to condensation of the contained gas components.
INGENO: Inprocess Generic Operator Training Simulators
Generic Operator Training Simulators are extremely powerful training tools for acquiring the generic knowledge required by students and plant operators to understand the way complex producing units are operated from the plant control room consoles.
Supporting the development of plant operators’ competence
Plan and follow-up operators’ professional development by digitizing and centralizing in a single training environment all new and old learning material.
Real-Time Optimization opportunities in NGL recovery plants
Inprocess has helped this oil company to identify potential savings between $1 and $3 million per NGL train and year in one of its recovery plants, by applying optimization techniques, on top of an existing Advanced Process Control algorithm, in a three-phases project: Feasibility study, open loop adisory tool, closed-loop online optimizer. Discover how by downloading the attached document.
Lifecycle Modelling: Using Simulation Models from Engineering Design to Plant Operations
Plant operators need deep training before the greenfield plant is started-up. Moreover, companies need to diminish potential operational problems related to the equipment sizing, control logic and safety systems by performing early analysis during the engineering design phases.
