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The purpose of this study has been assessment of capability of Artificial Neural Networks in Gas Lift Operations optimization, which is in use for improved oil recovery from oil wells. This in detail is in fact estimation of the two most important parameters of the process, i.e. optimal injection depth and optimal gas injection rate. For gas lift, gas is injected continuously or intermittently at selected location(s), resulting in a reduction in the natural flowing gradient of the reservoir fluid, and thus reducin...

Currently, continuous gas lift has a significant contribution for the purpose of petroleum production from those wells that have low production rates or those that have ceased their production. Therefore, production engineers are constantly finding the ways for optimizing this type of system. Superior designs are achieved when important parameters are optimized prior to system implementation. Optimization of gas injection into the annulus and also the tubing size are of the most important parameters. The functiona...

Bubble-point pressure, gas solubility and viscosity of oils are of the most important parameters in use for petroleum and chemical engineers. In this study a simple-to-use; straight-forward mathematical model is correlated on a set of 94 crude oil data. The correlation is achieved based on an exponential regression. The results are compared with variety of conventional empirical correlations and have also been evaluated by comparison with 12 laboratory data other than those used for the regression. It has been con...