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A Rigorous Composite-Inflow-Performance Relationship Model for Multilateral Wells

机译:多边井的严格综合流入-性能关系模型

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摘要

Use of multilateral wells for oil and gas production has gained strong momentum in the past 5 years. However, most of the multilateral wells do not deliver hydrocarbon fluids at expected production rates. One of the reasons for this is that the well planners overestimate the productivity of wells by using inaccurate methods for predicting composite-inflow-performance relationship (IPR) of well laterals. A more-accurate method for predicting composite IPR of multilateral wells is highly desirable. This paper fills the gap. Starting from terms familiar to petroleum engineers, a general well model was developed with consideration of reservoir-wellbore crossflow for lateral IPR and coupling of fluid flow from individual laterals to the main wellbore. The model allows different IPRs of laterals and permits crossflow between laterals. Pressure losses in the vertical-, curvic- and horizontal-hole sections are rigorously considered. Oil and gas wells are treated differently. The modified Hagedorn-Brown correlation is used for modeling the flow in the vertical sections, and the Beggs and Brill correlation is used for the curvic and horizontal sections for oil wells. The Cullender and Smith method was used for modeling the flow in gas wells. A computer simulator was developed based on the model for predicting multilateral-well production rate. Case studies have indicated excellent accuracy of the computer model. This work provides petroleum engineers a reliable and user-friendly tool for designing and evaluating multilateral wells.
机译:在过去的五年中,将多边井用于油气生产的势头强劲。但是,大多数多边井都不以预期的生产率输送烃类流体。造成这种情况的原因之一是,井规划人员通过使用不准确的方法来预测井支管的复合流入性能关系(IPR),高估了井的生产率。迫切需要一种更准确的方法来预测多边井的综合IPR。本文填补了空白。从石油工程师熟悉的术语开始,在考虑侧向IPR的油藏-井眼横流以及从各个分支井眼到主井眼的流体流耦合的基础上,开发了一种通用井模型。该模型允许分支的不同IPR,并允许分支之间的错流。严格考虑垂直孔,曲线孔和水平孔部分的压力损失。油气井的处理方式有所不同。修改后的Hagedorn-Brown相关性用于建模垂直段中的流动,而Beggs和Brill相关性用于油井的曲线段和水平段。使用Cullender和Smith方法对气井中的流动进行建模。基于该模型,开发了用于预测多边井生产率的计算机模拟器。案例研究表明计算机模型具有极好的准确性。这项工作为石油工程师提供了设计和评估多边井的可靠且用户友好的工具。

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