الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Badr-1 field is a mature gas lift oilfield consisting of multiple reservoirs, those reservoirs share the same surface processing facilities. In such context, gas lift optimization is crucial to ensure maximum oil production within facility constraints. Nodal analysis, and Gas lift Optimization Allocation model (GOAL) are among the tools applied to meet this objective.
The scope of the present thesis is to assess the production performance of Badr-1 field, to find out whether it works at its optimum behavior or if there is any margin for improvement.
In this thesis, each well model was built using Pipesim software. Nodal analysis for each well were performed and compared against actual well tests. The results of nodal analysis were reliable to conduct further investigation on wells parameters.
The thesis presented artificial neural network (ANN) in two different approaches: global ANN model and well by well ANN to predict the oil rate and gas lift rate of badr-1 field wells and compared against actual data.
The two methods were compared and statistically analyzed. Analysis showed that Global ANN model and Well by Well ANN models produce more accurate results than Pipesim models.
The thesis integrated ANN with nodal analysis to study the importance and effect of production system parameters on outputs.
A comparison of ANN models with previous studies was conducted and showed that this study presents more accurate results because a larger accurate data set of more input parameters were incorporated.
The thesis studied the optimization of the available amount of lift gas in the field among the producing wells to get the maximum possible productivity from the field.
At last, the thesis went through some ideas and solutions to overcome the problem of limited compression capacity. Technical, logistical and economic analysis were performed for each method.
The use of ESP to de-bottleneck the system is quite good solution, as it will gain oil and save gas for the closed wells. However, this method cannot provide gas lift margin for future drilled wells.
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The final solution was to increase the compression capacity. Although the huge capital costs of this approach, it seems to be the most efficient as it provides a great spare gas for coming developed wells.
Well intervention operations were studied in the thesis, such as: water shut-off, well stimulation and gas lift valves change. These remedial actions helped improve wells productivity.
The thesis investigated to the surface gas lift lines and found out it is recommended to upsize one main gas lift line to allow the gas to reach the far wells which was suffering from low injection pressure.
Finally, the thesis proved that that there are still chance to improve the productivity of the badr-1 field.