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Dynamic Flare Load Analysis

Description:

Plant expansion projects, unit revamps or debottlenecking studies may lead to a re-evaluation of the capacity of an asset existing flare system. Usually, after a re-evaluation study, an increase in flare load is determined. If the capacity of the asset flare system is close to its limit, the only solution is a capital project to increase the original capacity. Nevertheless, is there any possibility of reducing CAPEX by using a more accurate way of estimating the flare system behaviour?

Why we collect this data:

Inprocess is collecting and may process your personal data for a variety of reasons related to our business and our ability to deliver the best possible products, service and overall user experience. Accordingly, we may use your personal data to administer research surveys, to accurately deliver contracted services, to register you for events, to understand your preferences and to detect and prevent any fraudulent or unauthorized activities. Please refer to Inprocess’ Privacy and Security Policy, which is available here (https://inprocessgroup.com/en/privacy-policy), for more information regarding our collection and processing of your personal data.

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Supporting the development of plant operators’ competence

Description:

Plan and follow-up operators’ professional development by digitizing and centralizing in a single training environment all new and old learning material.
ICOM is a flexible and user-friendly tool that, once implemented, allows the user, not only to manage and run the tool, but to use it to further develop the training itineraries, to expand the documentation and files used for training and to take ownership of the platform to tackle the specific daily needs that HR department and Operations management may have.

Why we collect this data:

Inprocess is collecting and may process your personal data for a variety of reasons related to our business and our ability to deliver the best possible products, service and overall user experience. Accordingly, we may use your personal data to administer research surveys, to accurately deliver contracted services, to register you for events, to understand your preferences and to detect and prevent any fraudulent or unauthorized activities. Please refer to Inprocess’ Privacy and Security Policy, which is available here (https://inprocessgroup.com/en/privacy-policy), for more information regarding our collection and processing of your personal data.

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Lifecycle Modelling: Using Simulation Models from Engineering Design to Plant Operations

Description:

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.

Why we collect this data:

Inprocess is collecting and may process your personal data for a variety of reasons related to our business and our ability to deliver the best possible products, service and overall user experience. Accordingly, we may use your personal data to administer research surveys, to accurately deliver contracted services, to register you for events, to understand your preferences and to detect and prevent any fraudulent or unauthorized activities. Please refer to Inprocess’ Privacy and Security Policy, which is available here (https://inprocessgroup.com/en/privacy-policy), for more information regarding our collection and processing of your personal data.

Is your company currently an Inprocess client?
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Interested? Don’t hesitate to ask for more information just completing the form below

Real-Time Optimization opportunities in NGL recovery plants

Description:

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.

Why we collect this data:

Inprocess is collecting and may process your personal data for a variety of reasons related to our business and our ability to deliver the best possible products, service and overall user experience. Accordingly, we may use your personal data to administer research surveys, to accurately deliver contracted services, to register you for events, to understand your preferences and to detect and prevent any fraudulent or unauthorized activities. Please refer to Inprocess’ Privacy and Security Policy, which is available here (https://inprocessgroup.com/en/privacy-policy), for more information regarding our collection and processing of your personal data.

Is your company currently an Inprocess client?
Download Success Story

Interested? Don’t hesitate to ask for more information just completing the form below

Dynamic Simulation Study for the Feed Gas Booster and the Boil Off Gas Compressors

Description:

The main objective of the project is to deliver a dynamic simulation study for the Feed Gas Booster compression system and for the Boil-Off Gas compression system in order to confirm their proper operation under several defined procedural and upset conditions. The model will allow evaluation of the design and the identification potential problems.

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Dynamic Simulation Study for a National Gas Grid and Emulated Operator Training System

Description:

Inprocess carried out a detailed concept study of the Gas Grid pipeline system to identify and evaluate all possible options available to meet all gas delivery specifications and Gas Grid capacity for a minimum of 10 years. Once the dynamic models were created, Inprocess developed an Emulated OTS for the complete Gas Grid.

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Dynamic Simulation Studies for the integrated steam and power systems in an expansion project in a liquified natural gas plant

Description:

An Inprocess client initiated an Expansion Project to commercialize the incremental resource into high margin gas markets based on a single LNG (liquefied natural gas) train expansion.
Inprocess carried out an integrated dynamic simulation model of the facilities currently in operation, as well as the new facilities, focusing on the steam and power system, in order to achieve a N+1 operating philosophy for the steam turbine generators and auxiliary boilers.

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Flare Systems Analysis and hydraulic performance check of a train downgraded operation

Description:

The Phase I of the study was performed by Inprocess in order to determine the maximum possible operating capacity limits, by considering the safety limitation factors, when increasing well production.
Once capacity limits were determined, during project Phase II, Inprocess updated a series of simulation files provided by the client and it performed the hydraulic performance check for the non-licensed units, major lines and equipment in scope.

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Dynamic Analysis of the Turboexpander Dew Point Unit in a Gas Plant

Description:

Inprocess delivered a Dynamic Simulation Study for a Turbo Expander/Residue Gas Compressor, for a Gas Plant Train in Middle East in order to confirm high operational safety and reliability of the system. Consequently, the project:

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