Forecasting Formation Losses of Hydrocarbons in the Process of Development of Oil and Gas Condensate Deposits

One of the important tasks in forecasting and monitoring the development of oil and gas condensate fields is taking into account the current losses of condensate in the reservoir. In this case, it is necessary to use several versions of models that differ in the formation of parameters and thermodyn...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2022-02, Vol.988 (3), p.32028
Main Authors: Katanova, R K, Tomskiy, K O, Inyakina, E I, Ivanova, M S
Format: Article
Language:English
Subjects:
Computer applications
Condensates
Current loss
Depletion
Economic forecasting
Forecasting
Hydrocarbons
Liquid phases
Mathematical models
New technology
Phase transitions
Reservoir operation
Thermodynamic properties
Vapor phases
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Summary:One of the important tasks in forecasting and monitoring the development of oil and gas condensate fields is taking into account the current losses of condensate in the reservoir. In this case, it is necessary to use several versions of models that differ in the formation of parameters and thermodynamic properties of hydrocarbon phases. Models are considered in which either the liquid phase dissolves in the gas phase, or it is assumed that heavy fractions are absent in the gas phase. Models of this type are used more often when predicting the development of deposits in the natural depletion mode. Experimental and computational models of equilibrium phase transitions make it possible to improve the prediction of condensate losses in the reservoir. The complexity and laboriousness of the PVT experiment, along with the introduction of new technologies, create a lack of information on the thermodynamic properties of hydrocarbon systems. In order to take into account reservoir losses of hydrocarbons for the development conditions of the Vostochno-Urengoyskoye field, the forecast of the balance of condensate production for the current and final periods of operation was carried out. The model considered in the work allows for adjusting the forecast indicators of condensate production at the current moment of reservoir operation [1,2,3].
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/988/3/032028