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A New Analytical Model to Predict Oil Production for Cyclic Steam Stimulation of Horizontal Wells

机译:一种新的分析模型,以预测水平井循环蒸汽刺激的石油产量

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For cyclic steam stimulation (CSS) process of horizontal wells, previous studies mainly focused on the shape of heating zone and few scholars took heat losses from upper and lower reservoir rocks into consideration. However, it is hard to accurately describe the shape of heating zone accounting for steam override and boundary shielding effect. And on-site production cares more about the heating volume and efficiency which determine the cumulative oil production rate. As a result, the object of this paper is to propose an accurate and computationally efficient method for calculating heating volume and oil production rate. In order to precisely describe the heating zone, a scaling factor, M0, is introduced to coordinate the maximum and minimum heating volume. The maximum heating volume is calculated by assuming there is no heat loss from upper and lower reservoir rocks while the minimum heating volume is demonstrated by assuming the heat losses from an equivalent vertical well. Besides, time-dependent average temperature, pressure and saturation are included to demonstrate steam override effect. Instead of using conductivity equation, frictional pressure loss from toe to heel is solved by an iteration scheme. Results of this model are compared with results simulated from commercial software Computer Modeling Group, STARS. Daily oil production rate exhibits good agreement between the proposed model and STARS. Different thermal conductivities and diffusivities of sandstone, shale rock and limestone are considered to expand the application of this model. Moreover, different values of M0 are calculated for further validation. This thermal model can be an effective predictor for planning heavy oil field development.
机译:对于液体井的循环蒸汽刺激(CSS)过程,之前的研究主要集中在加热区的形状,很少有学者从上层水库岩石中考虑了热损失。然而,很难准确地描述加热区的形状,用于蒸汽超控和边界屏蔽效果。现场生产更多地关心加热体积和效率,确定累计油生产率。结果,本文的目的是提出一种准确和计算的用于计算加热量和油生产率的高效方法。为了精确描述加热区,引入缩放因子M0以协调最大和最小加热体积。通过假设从上储存岩石和下部储存器岩石没有热量损失来计算最大加热体积,而通过假设来自等效垂直井的热量损失来说明最小加热体积。此外,包括时间依赖的平均温度,压力和饱和以证明蒸汽覆盖效果。代替使用电导率方程,通过迭代方案解决了从脚趾到脚跟的摩擦压力损失。将该模型的结果与商业软件计算机建模组,星星的结果进行比较。日常石油生产率在拟议的模型和星星之间表现出良好的一致性。不同的热导体和砂岩的扩散性,被认为扩大了该模型的应用。此外,计算M0的不同值以进一步验证。该热模型可以是规划重油场开发的有效预测因子。

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