{"title":"Modeling Sand Transportation in Wells Under Different Multiphase Flow Conditions","authors":"Nursultan Bakyt, Hong-quan Zhang, Haiwen Zhu","doi":"10.2118/212093-ms","DOIUrl":null,"url":null,"abstract":"\n Sand particles can be produced from reservoirs along with oil, water, and gas in the petroleum industry. Particles can cause serious flow assurance issues, blocking a fluid path and causing fluctuations in oil and gas production and transportation system. Studies have been conducted to identify critical particle transport velocity in horizontal stratified flow. However, very little has been done to identify critical particle transport velocity for different inclination angles and flow patterns in the oil and gas production system. In this paper, two mechanistic and three empirical models are selected, modified, developed, and presented for stratified, slug, bubbly, dispersed bubble, and annular flow patterns. A model for particle transport in gas production well is also presented. Zhang et al. (2003) unified gas-liquid pipe flow model is applied to cover all inclination angles to determine flow pattern, liquid holdup, and other flow conditions.\n Particle transport in a production system is controlled by many parameters like fluid properties (liquid and gas densities, liquid and gas viscosities), sand particle properties (density, size, concentration, angle of repose, sphericity), well geometry (pipe diameter, roughness and inclination angle), and fluid flow (flow pattern, superficial liquid and gas velocities, liquid holdup, water cut). The effect of each parameter on the critical particle transport velocity is analyzed to find the most important ones. The evaluations are validated by comparing with the previous work and experiments. However, this model validation part is not covered in this paper.","PeriodicalId":394241,"journal":{"name":"Day 1 Tue, November 15, 2022","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Tue, November 15, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/212093-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Sand particles can be produced from reservoirs along with oil, water, and gas in the petroleum industry. Particles can cause serious flow assurance issues, blocking a fluid path and causing fluctuations in oil and gas production and transportation system. Studies have been conducted to identify critical particle transport velocity in horizontal stratified flow. However, very little has been done to identify critical particle transport velocity for different inclination angles and flow patterns in the oil and gas production system. In this paper, two mechanistic and three empirical models are selected, modified, developed, and presented for stratified, slug, bubbly, dispersed bubble, and annular flow patterns. A model for particle transport in gas production well is also presented. Zhang et al. (2003) unified gas-liquid pipe flow model is applied to cover all inclination angles to determine flow pattern, liquid holdup, and other flow conditions.
Particle transport in a production system is controlled by many parameters like fluid properties (liquid and gas densities, liquid and gas viscosities), sand particle properties (density, size, concentration, angle of repose, sphericity), well geometry (pipe diameter, roughness and inclination angle), and fluid flow (flow pattern, superficial liquid and gas velocities, liquid holdup, water cut). The effect of each parameter on the critical particle transport velocity is analyzed to find the most important ones. The evaluations are validated by comparing with the previous work and experiments. However, this model validation part is not covered in this paper.
在石油工业中,砂粒可以和油、水、气一起从储层中开采出来。颗粒会造成严重的流动保障问题,堵塞流体通道,造成油气生产和运输系统的波动。对水平分层流中临界颗粒输运速度的确定进行了研究。然而,对于确定油气生产系统中不同倾角和流动模式下的临界颗粒输运速度,人们做得很少。本文对分层流、段塞流、气泡流、分散气泡流和环空流模式选择、改进、发展并提出了两种机制模型和三种经验模型。建立了气井中颗粒输运模型。Zhang et al.(2003)采用统一的气液管道流动模型,覆盖所有倾斜角度,确定流型、含液率等流动条件。生产系统中的颗粒输运受许多参数控制,如流体性质(液体和气体密度、液体和气体粘度)、砂粒性质(密度、大小、浓度、休养角、球形度)、井的几何形状(管径、粗糙度和倾角)和流体流动(流动模式、表面液体和气体速度、液体含率、含水率)。分析了各参数对临界粒子输运速度的影响,找出了最重要的参数。通过与前人的工作和实验的对比,验证了上述评价的正确性。但是,模型验证部分不在本文的讨论范围内。