科威特油田生产面网络模型中温度对选择精确多相流关联查找瓶颈的影响

H. Almohammad
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摘要

随着油气需求的不断增长,如何保持成熟油田的石油产量和最大限度地提高可采储量成为一个挑战。由不同油藏压力的油井组成的相互连接的流线地面网络连接到单个处理设施,导致网络瓶颈和其他流动保障问题。本研究的目的是预测温度变化对水力流动行为的影响,并优化所选油田最精确的多相流关联。瓶颈的严重程度可能会受到季节性温度变化的深刻影响,这需要研究和预先规划,以减少或避免生产损失。利用商用稳态多相流模拟器,为公司的一个集输中心(GC)建立了一个流线网络模型,并进行了内部分析。考虑到GC-XY问题,高压,集管,科威特几个油田正在生产。代表性结果;对水平和倾斜管道中多相流相关性的预测进行了比较。本研究评估了Beggs & Brill(1975)、Baker & Gabb(1988)、Dukler等人(1969)、Mukherjee和Brill(1983)、Oliemans(1976)相关性和Xiao(1990)机制模型的预测。比较仅限于温度范围为- 5至55摄氏度,API大于等于30度的轻质油,流体管道内径为6英寸。该研究显示了所使用的每种多相流模型预测之间的统计误差比较,并表明了所选油田应用条件的相关性。在网络模型中发现了瓶颈,提出了各种解决方案并进行了仿真,以克服温度变化导致的瓶颈严重程度。结果表明,在设计的网络中,瓶颈严重程度降低了40%,日产量提高了1.8万桶。详细的标准和计算说明了比较和选择最准确的多相流相关性为所选油田。此外,该项目解释了一个程序,以模拟建议的解决方案,并找到预期的提高生产。温度高估可能导致严重的瓶颈,这需要专门和可靠的研究,以尽量减少由于传热对油粘度和流动行为的影响而造成的损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Temperature Effect on Selecting a Precise Multiphase Flow Correlation to Find Bottlenecks in Production Surface Network Model in Kuwaiti Fields
The increasing demand for hydrocarbon made it a challenge to maintain the oil production and maximize recoverable reserves in mature fields. Interconnected flowline surface network, of oil producing wells, varying in reservoir pressure, connected to a single processing facility, resulted in network bottlenecks and other flow assurance issues. This study objective is to predict the temperature changing effect on hydraulic flow behavior and optimize the most precise multiphase flow correlation for the selected fields. The severity of bottlenecks can be profoundly affected by seasonal temperature changes, which require studying and pre-planning to reduce or avoid production losses. A flowline network model had been built and analyzed in-house using a commercial steady-state multiphase flow simulator for one of company's Gathering Centres (GC). GC-XY problematic, high pressure, headers were considered, which are receiving production from several fields in Kuwait. For representative results; comparisons were done for the prediction of multiphase flow correlations in horizontal and inclined pipelines. The predictions of the Beggs & Brill (1975), the Baker & Gabb (1988), the Dukler et al. (1969), the Mukherjee and Brill (1983), and the Oliemans (1976) correlations and the Xiao (1990) mechanistic model were evaluated in this study. The comparison was limited to a temperature range from −5 to 55 Celsius degrees, light oil with API above or equal 30 degrees, and 6 inches flowline inner diameter. The study displays statistical error comparison between the predictions of each multiphase flow model used and suggests a correlation for the applied conditions in the selected field. Bottlenecks had been found in the network model, and a variety of solutions were proposed and simulated to overcome the bottleneck severity due to temperature changes. The results findings show a significate potential is reducing the bottlenecks severity up to 40 percent in the designed network and production enhancement of 18,000 barrels daily. Detailed criteria and calculations were stated to compare and select the most accurate multiphase flow correlations for the chosen fields. Also, the project explains a procedure to model the suggested solutions and find the expected enhancement of production. Temperature overestimation can lead to severe bottlenecks, which require dedicated and reliable studies to minimize the losses due to heat transfer effect on oil viscosity and flow behavior.
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