| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1757442 | Journal of Natural Gas Science and Engineering | 2015 | 10 Pages |
•The gene expression programming (GEP) is employed to develop a universal model for solution gas oil ratio.•More than 1000 data sets from different geographical location are used for model development.•The proposed model is compared to both explicit and implicit models available in literature.•The results of this study indicate that the proposed model is more accurate, reliable and efficient than pre-existing models.
Accurate determination of pressure-volume-temperature (PVT) properties of petroleum reservoirs is essential in material balance calculations, inflow performance, well-test analysis, reservoir simulation, etc. Ideally, those data should be obtained experimentally; however, experimental measurements require accurate and enough sampling, and are time consuming, expensive and tedious. Therefore, seeking for a simple, reliable and accurate model for prediction of PVT properties of petroleum systems is of a vital importance. In this communication, a large PVT data bank, covering a wide range of thermodynamic conditions was collected from variety of geographical locations around the world. Afterward, gene expression programming (GEP) was employed to develop a universal model for solution gas: oil ratio. The proposed model is a function of bubble point pressure, gas specific gravity, and oil API gravity, and has a very simple format with only one tuning parameter. The proposed model was compared to both explicit and implicit models available in literature for prediction of solution gas: oil ratio, using statistical and graphical error analyses. The results of this study indicate that the proposed model is more accurate, reliable and efficient compared to all other published correlations.
Graphical abstractFigure optionsDownload full-size imageDownload high-quality image (67 K)Download as PowerPoint slide
