METHOD FOR DETERMINING PROPERTIES OF GAS CONDENSATES AND VOLATILE OILS Russian patent published in 2024 - IPC G01N33/28 G06N20/00 

Abstract RU 2825279 C1

FIELD: mining; physics.

SUBSTANCE: invention relates to development of gas condensate and oil and gas condensate deposits, in particular to methods of determining properties of gas condensates and volatile oils. Method for determining properties of gas condensates and volatile oils, according to which: performing sampling of formation fluid from an investigated formation or from a similar formation with a similar geological structure, petrophysical properties of rock and thermobaric conditions, measuring absorption spectra for samples of formation fluid, performing laboratory measurements of the component composition of the fluid samples and at least one property of the fluid samples from the group, including the saturation pressure Psat at the formation temperature, volume fraction of liquid phase, density of gas and liquid phase at specified temperature and pressure, generating a training data set for training a machine learning algorithm, which includes the measured absorption spectra for the samples of the formation fluid and the results of laboratory measurements of the component composition of the fluid of the samples, generating a set of laboratory data for adjusting parameters of the equation of state, including the results of laboratory measurements of properties of the fluid samples, machine learning algorithm is trained on training data set and relationships are established between absorption spectra measured for samples of formation fluid, and composition of fluid samples, measured laboratory, setting up equation of state using a set of laboratory data on properties of formation fluid for samples from a training set of samples, sampling of the analysed formation fluid is carried out and absorption spectra of the taken samples are measured, determining the component composition of the selected fluid samples from the measured absorption spectra using a trained machine learning algorithm, and determining the formation fluid properties from the obtained component composition of the samples using the tuned equation of state.

EFFECT: enabling fast recovery of detailed component composition based on analysis of absorption spectra of a sample and evaluation of properties of an arbitrary formation fluid with high accuracy for subsequent planning of development process of gas condensate and oil and gas condensate deposits.

3 cl, 2 dwg, 9 tbl

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RU 2 825 279 C1

Authors

Rudenko Denis Vladimirovich

Magdeev Igor Damirovich

Sidorenkov Aleksandr Viktorovich

Dates

2024-08-23Published

2024-03-07Filed