考虑滑脱的气液两相嘴流新模型

正确预测油嘴允许气液混合物通过的能力是开展油气井井下或地面节流工艺设计的基础，气液两相嘴流模型在采油气工艺中有广泛的应用。通过引入等效动量比容、等效动能速度概念，根据动量守恒原理建立了一个新的考虑气液间滑脱的气液两相嘴流质量流速预测模型，并进行了数值求解。与其他4个模型相比，新模型计算简单且方便。利用公开发表的亚临界流和临界流实验数据对新建模型和其他4个常用两相嘴流模型计算结果进行了比较。新建模型对质量流速预测能力的平均误差为1.37%，平均绝对误差为6.37%，标准差为5.79%；新模型对嘴前压力预测能力的平均误差为2.78%，平均绝对误差为8.43%，标准差为4.10%；明显优于Sachd...

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Bibliographic Details
Published in石油钻采工艺 Vol. 39; no. 4; pp. 464 - 471
Main Author 薛建强;张文洪;刘艳东;李东昊;姚鑫;王志彬
Format Journal Article
LanguageChinese
Published 西南石油大学油气藏地质及开发工程国家重点实验室%中国石化华北分公司%中国石油天然气管道工程有限公司 2017
Subjects
两相嘴流;临界流/亚临界流;质量流速;滑脱比;数值模型
数值模型
滑脱比
临界流/亚临界流
critical flow/subcritical flow
two-phase choke flow
slip ratio
质量流速
mass velocity
numerical simulation
两相嘴流
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ISSN1000-7393
DOI10.13639/j.odpt.2017.04.013

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Summary:正确预测油嘴允许气液混合物通过的能力是开展油气井井下或地面节流工艺设计的基础，气液两相嘴流模型在采油气工艺中有广泛的应用。通过引入等效动量比容、等效动能速度概念，根据动量守恒原理建立了一个新的考虑气液间滑脱的气液两相嘴流质量流速预测模型，并进行了数值求解。与其他4个模型相比，新模型计算简单且方便。利用公开发表的亚临界流和临界流实验数据对新建模型和其他4个常用两相嘴流模型计算结果进行了比较。新建模型对质量流速预测能力的平均误差为1.37%，平均绝对误差为6.37%，标准差为5.79%；新模型对嘴前压力预测能力的平均误差为2.78%，平均绝对误差为8.43%，标准差为4.10%；明显优于Sachdeva、Perkins、Ashford&Pierce、Al-safran等模型。气液两相滑脱因子计算方法影响模型的准确性，为此对比分析了9个气液两相滑脱因子计算方法，发现本模型结合Chisholm的滑脱因子计算方法的预测结果最接近实验测试结果。同时以某产水气井为例开展了井下节流工艺嘴径计算，新模型设计的嘴径完成的配产率为96.5%。
Bibliography:The accurate prediction on the ability of choke to allow gas/liquid mixture to flow through it is fundamental for the design of downhole or surface throttle process of oil and gas wells.And gas-liquid two-phase choke flow model is extensively applied in oil and gas production process.A new model for predicting the mass velocity of gas-liquid two-phase choke flow was established according to the principle of conservation of momentum based on the concepts of equivalent momentum specific volume and equivalent kinetic velocity,combined with gas-liquid slip ratio,and its numerical solution algorithm was worked out.Compared with four other models,this new model is simpler and more convenient.Then,the accuracy of this newly built model and four commonly used two-phase choke flow models was evaluated by using the published experimental data of subcritical flow and critical flow.It is shown that this new model is much superior to Sachdeva,Perkins,Ashford&Pierce and Al-safran models.Its average error of mass veloci
ISSN:1000-7393
DOI:10.13639/j.odpt.2017.04.013