{"id":43705,"date":"2022-02-21T08:44:07","date_gmt":"2022-02-21T11:44:07","guid":{"rendered":"https:\/\/abes.org.br\/?p=43705"},"modified":"2022-02-15T18:48:08","modified_gmt":"2022-02-15T21:48:08","slug":"esss-lanca-software-de-simulacao-para-a-industria-de-oleo-e-gas","status":"publish","type":"post","link":"https:\/\/abes.org.br\/en\/esss-lanca-software-de-simulacao-para-a-industria-de-oleo-e-gas\/","title":{"rendered":"ESSS launches simulation software for the Oil and Gas industry"},"content":{"rendered":"

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Tool enables estimation of fluid behavior and properties and is now available for use<\/em><\/p>\n

Aware of what is most advanced in the Oil and Gas sector, ESSS O&G has just launched a solution for engineers to obtain a reliable representation of the behavior of Fluids and Simulation Environment (RF-DAP PHASE). O\u00a0software<\/em>\u00a0allows engineers a reliable representation of the PVT behavior of fluids. RF-DAP FASE predicts phase equilibria and estimates the physical, thermodynamic and transport properties of complex hydrocarbons and aqueous mixtures.\u00a0<\/u><\/u>\u00a0<\/u><\/u><\/p>\n

Vinicius Girardi, Business Development Manager at ESSS O&G, explains how the ESSS team created innovative forecasting capabilities in RF-DAP FASE. \u201cTo calculate the phase equilibrium and properties of fluids, for example, we developed modern and robust algorithms using automatic differentiation and machine learning approaches,\u201d he says.<\/u><\/u>\u00a0<\/u><\/u><\/p>\n

Innovation was a keyword throughout the development of the\u00a0software<\/em>. \u201cOur solution innovates for the O&G industry with a p21 that connects the simulator to a central fluid database\u201d, adds Giardi.\u00a0<\/u><\/u>\u00a0<\/u><\/u><\/p>\n

\u201cBecause it is deployed on servers or in a cloud, it democratizes access across the enterprise and can benefit from robust servers to deliver analytics with low computational time. As the RF-DAP FASE is directly linked to a central fluid database, fluid composition and other experimental data can be read directly from it and simulation results can be stored back, all in a transparent and optimized\u201d, he adds.\u00a0<\/u><\/u>\u00a0<\/u><\/u><\/p>\n

Another focus of the ESSS team was an intuitive and easy-to-use interface. The goal was to ensure that a user had an amazing experience using RF-DAP FASE without the need to do extensive training or consult complex user guides.<\/u><\/u>\u00a0<\/u><\/u><\/p>\n

How it works<\/strong><\/u><\/u><\/h2>\n

The ESSS O&G solution performs fluid characterization based on an equation of state (EoS) model. It simulates phase equilibria through flash calculations, up to three coexisting phases. Users can also combine fluid properties with experimental data through robust regression algorithms.<\/u><\/u>\u00a0<\/u><\/u><\/p>\n

The models are implemented under the Helmholtz free energy framework and all derivatives are computed using automatic differentiation. Without losing numerical precision, this approach circumvents errors caused by erroneous manual derivations of complex analytical expressions or code implementation.<\/u><\/u>\u00a0<\/u><\/u><\/p>\n

Machine learning algorithms are used to identify the phases after calculating the phase equilibria over a set of specified pressure and temperature conditions. Each phase is grouped as a continuous surface in the property space. This technique replaces an older, rule-based approach that needed to consider different types of mixtures at the same time. The automated approach simplifies the implementation of these rules and can be used in blends with never-before-seen behavior.<\/u><\/u>\u00a0<\/u><\/u><\/p>\n

where to use the\u00a0<\/strong>software<\/em>:<\/strong><\/u><\/u><\/h2>\n