Abstract
The reservoir fluid properties, the solution gas–oil ratio (GOR), are of great importance in various aspects of petroleum engineering. Therefore, a rapid means for estimating such parameters is much sort after. In this study, the linear interaction and general optimization method is applied in the development of a precise and reliable model for estimating the solution GOR. In order to develop a model that would be comprehensive, a reliable and extensive databank comprising of more than 1000 datasets collected from various geographical locations, including Asia, Mediterranean Basin, North America, Africa, and Middle East was compiled. Furthermore, the model developed was benchmarked against widely-used empirical methods in order to evaluate the performance of method proposed in predicting solution GOR data. The results show that the model proposed in this study outperforms the empirical methods to which it was compared. This study also investigated the influence of the reservoir fluid properties on the estimated solution GOR for the newly- developed model. Results show that bubble point pressure and gas gravity have the largest and the smallest influences on the predicted solution GOR, respectively. Finally, the Leverage approach was applied to determine the applicability domain for the proposed method via the detection of outlier data points. It was determined that only 26 data points, out of more than 1000 data, are identified as outlier data points.
Highlights
The properties of reservoir fluids [1] are normally determined from bottom-hole and/or surface recombined samples
The fluid properties are required for a large number of reservoir engineering calculations, which include, selection of the most important enhanced oil recovery (EOR) method for a reservoir candidate, estimation of hydrocarbon reserves, performance prediction, calculations related to the production operation, production optimization, well-testing studies, fluid flow through porous media, etc [1,2,3,4,5,6,7,8,9,10]
The key aim of the present study is to propose a comprehensive, accurate and reliable model for the determination of solution gas–oil ratio (GOR) using data collected from various crudes worldwide
Summary
The properties of reservoir fluids [1] are normally determined from bottom-hole and/or surface recombined samples. Reservoir fluid properties such as bubble point pressure, oil formation volume factor (OFVF), and solution GOR are key parameters in petroleum engineering calculations and are obtained through laboratory measurements, theoretical methods, and/or empirically derived correlations. Petroleum engineers seek a rapid way to obtain these parameters, taking into account both economic and technical issues. The determination of reservoir fluid properties using laboratory experiments are not simple and can be time-consuming and expensive [11,12,13]. The reservoir fluid properties, in the absence of experimental measurements, must be determined through empirical methods
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