![]() ![]() Whitson and Torp three parameters EOS were used to generate modified black oil (MBO) PVT properties that were used as a data set for model development. Thirteen actual reservoir fluid samples (five volatile oils and eight gas condensates) covering a wide range of fluid behavior and characteristics were used. In this work, three artificial intelligence (AI) technique models were developed to predict the oil–gas ratio ( R v) for volatile oil and gas condensate reservoirs. On the other hand, using of PVT correlations which are based on easily measured field data such as reservoir pressure and temperature, and gas and oil density is reliable and more economic. The measurement and calculation of these properties are very expensive and time consuming. The EOS requires lots of numerical computations based on identifying the full compositions of the reservoir fluids properties. The alternative two methods widely used when laboratory experiments are not available are: equation of state (EOS) and empirical PVT correlations. The correlations developed in this study exhibit significantly lower average absolute error and standard deviation than the other published correlations.Laboratory experiment ideally, is the main method to obtain PVT properties of the oil and gas reservoir fluids. Some of the recently developed correlations and those frequently used in the literature were compared to the new correlations. A total of 175 PVT analyses of crude oil samples collected from different Kuwaiti oil fields were used to develop the new correlations. Multiple regression analysis was used in developing those correlations. The present study develops new empirical PVT correlations for estimating the solution gas/oil ratio, bubblepoint oil formation volume factor, and isothermal oil compressibility above bubblepoint for crude oils. Over the last decade increased attention has been focused on models for predicting reservoir fluid properties from reservoir pressure, temperature, crude oil API gravity, and gas gravity. ![]() Careful estimation of reservoir fluid behavior is necessary for evaluating of hydrocarbon reserves, predicting future performance, designing production facilities, and planning methods of enhanced oil recovery. ![]()
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