Eventos Anais de eventos
ENCIT 2020
18th Brazilian Congress of Thermal Sciences and Engineering
Empirical correlation analysis applied to sound speed of crude oils
Submission Author:
Phelipe Augusto Lima , ES
Co-Authors:
Phelipe Augusto Lima, Rogerio Ramos, Mayara da Silva
Presenter: Phelipe Augusto Lima
doi://10.26678/ABCM.ENCIT2020.CIT20-0111
Abstract
Performing measurements on physicochemical properties of crude oil has proven to be a hard task, since petroleum is composed by a complex mixture of hydrocarbons, besides the possibility of property variation between oils even from the same well. Therefore, the search for methods to simplify measurements and calculations of crude oils properties needs to be studied, for example sound speed. In this context, this paper uses a high accurate instrument to analyze both density and sound speed. However, due to intrinsic limitations of employing this technology in the field, the use of empirical correlations can be useful to evaluate sound speed in a wide range of pressure and temperature. By calculating the API gravity of the oil, using experimental density data, it is possible to evaluate the use of empirical correlations to estimate the sound speed of crude oils when comparing the calculated values to measured values. Results shows that sound speed can be predicted with a maximum relative deviation of 0.2% in a temperature range between 20ºC and 50ºC at the local pressure of 0.1 MPa. Additionally, design of experiments analysis presents minimal interaction between temperature and API, resulting in similar sound speed behavior between oil samples.
Keywords
Crude Oil, Petroleum, Sound speed, Empirical Correlation, design of experiments
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