ABSTRACT

Due to the constant need of improving flow, pressure and pipeline throughput for single phase flow in fluid pipelines and due to extensive injection of DRA into pipeline networks, whether to supply an increased demand of customers or uprate an overall throughput of a pipeline system, a need to find ways to optimize the effect of DRA injection on the flow rate and pressure has become essential in the pipeline industry. This study looked into the effect of drag reducing agents on the flow rate and pressure of single phase flow in fluid pipelines. Reviewing the literature helped a lot in planning a methodology that explains how the investigation is carried. The methodology started with selecting a pipeline network to be case studied and then utilizing an advance tool that can perform hydraulic pipeline calculations to simulate various cases. After that, results are evaluated, analyzed, and discussed to make sure that they match with the obtained current pipeline data. To optimize, a hydraulic simulation tool called SPS is used to simulate cases where effect of DRA on the flow rate and pressure is improved. Having gone through several investigations on how to optimize the effect of DRA on the flow rate and pressure of single phase fluid pipelines, a number of recommendations has been made to modify several factors that eventually lead to optimization of the effect of DRA. Initially, the definition and characteristics of DRAs has been made clear and understood to be able to know more about what is being researched and investigated. Additionally, the mechanics behind drag reduction have been understood and the effect of DRAs on the flow rate and pressure of pipelines once injected has been understood. Factors such as location of DRA injection, DRA type vs. %Dr, and DRA concentration have been proven to be effective in optimizing the effect of DRA based on the results of the simulated cases. Savings reaching up to $4 Million on spending for one type of polymeric DRA injection were the results of only one factor contributing to optimization which was the location of DRA injection.

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