Flow Assurance

Predict. Prevent. Perform.

Efficient production depends on the continuous and safe flow of fluids from reservoir to surface.

The Eushaw Dynamic Simulator (EDS) provides advanced flow assurance capabilities that help engineers anticipate, analyze, and mitigate challenges across the entire production system.
By integrating thermal, hydraulic, and compositional modeling, EDS allows users to identify critical risks such as wax, scale, emulsion formation, corrosion, and hydrate blockages, before they impact operations.
Through accurate prediction and real-time simulation, EDS supports proactive decision-making to maintain flow stability and extend asset life.

Hydrates

In colder or high-pressure environments, hydrates can form rapidly and block production lines.
EDS uses detailed thermodynamic models to predict hydrate formation temperatures and assess risk zones along the wellbore and surface facilities. It allows engineers to simulate preventive strategies—such as insulation, heating, or inhibitor injection—ensuring uninterrupted flow and safer operations.

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Emulsions

Complex multiphase systems often lead to the formation of emulsions that reduce flow efficiency and complicate separation processes.
EDS includes advanced emulsion modeling tools that predict stability, inversion points, and viscosity behavior under varying conditions. By identifying critical operating windows, it enables users to adjust process parameters, improve separation performance, and minimize production losses.

Corrosion Problems during Production

Prediction and Analysis

Scale and corrosion can be a major cause of tubing failure. Reducing and controlling corrosion is, in many cases, one of the primary ways you’ll be spending your time around an oil and gas lease. It is most often an issue with wells that produce a great deal of water. Eushaw simulator provides a prediction on localized pitting, general corrosion and also the likelihood of corrosion. Eushaw software includes all the recent development such as Papavinasam and Sun-Nesic models.

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