heal.abstract |
The presence of hydrogen sulfide (H2S) and carbon dioxide (CO2) in oil reservoirs is
concerning due to their toxicity and negative impacts on the production process. The
acidic mixture resulting from their combined presence can cause alteration of the
desired characteristics of the hydrocarbons produced, such as the quality of the oil. For
this reason, the petroleum industry typically incorporates a stage of hydrocarbon
trapping and further processing at the surface to remove these acidic components. This
process is crucial for personnel safety, environmental protection, as well as ensuring
the quality and performance of the produced oil. Reinjecting acidic gas from injection
wells is a common practice for managing this type of gas. The purpose is to reduce the
costs of processing acidic gas and maintain reservoir pressure. To effectively carry out
the acidic gas reinjection process, it is essential to precisely understand the developing
pressure and temperature along the injection wells. This requires a correct description
of the thermodynamic behavior of the acidic fluid, as pressure and temperature affect
how this gas behaves along the drilling. Only then can we take effective measures for
managing and reusing acidic gas through injection wells.
This thesis aims to qualitatively test the results of a commercial software, namely
PROSPER by Petex, used to determine the pressures, temperatures and properties of
the acidic fluid, as well as to analyse the behaviour of its phases in the whole section of
the well during the injection process. For the thermodynamic description of the fluid
behaviour, cubic equations of state (EoS) are used, which are available in the software
mentioned.
The results of the qualitative control are very encouraging. The agreement between the
simulation results and the literature enhances the validity of the methodology and
accuracy. However, observing the software errors in the detailed examination of the
fluid's thermodynamic properties requires attention. Although these errors seem not to
significantly affect the macroscopic properties of the flow such as pressure and
temperature, it is important to correct them to improve the model's accuracy. This can
ensure even greater reliability of the results and the application of the methodology in
more practical applications. |
en |