细粒迁移和储层异质性对油井生产率的影响:分析模型和油田案例

Thomas Russell, Cuong Nguyen, Grace Loi, S. R. Mohd Shafian, N. N. Zulkifli, A. Zeinijahromi, P. Bedrikovetsky
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引用次数: 0

摘要

油气生产过程中,水突破后细粒迁移造成的地层破坏会导致油井生产率大幅下降。最近的一项研究得出了均质油藏水油混合生产过程中细粒迁移的分析模型。然而,储层的异质性对油井生产率有很大影响。本文为层饼储层建立了一个分析模型。我们开发了一种新方法,通过阻抗与水切的函数来描述生产率下降的特征。该方法基于一个新的分析模型,用于分析细粒迁移情况下层结油藏的流入性能。新模型将水油流动的伪相渗透率函数与细粒释放和诱导渗透率破坏方程整合在一起。分析模型揭示了油井阻抗增长与水切增加的线性关系,其中斜率由包含地层损害程度的流动比率修正形式决定。当地层损害系数恒定时,无论储层渗透率分布如何,都会产生这种线性形式。通过与来自三个油田的五口油井的生产历史进行比较,验证了该模型,这些油井的生产历史与新模型预测的线性趋势非常吻合。明确的公式可以预测废弃时的生产率,确定最佳的油井刺激时间,以及重建生产早期的表皮值,从而更好地估计其他地层损害因素的影响,如钻井和完井过程中引起的损害。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of fines migration and reservoir heterogeneity on well productivity: analytical model and field cases
Formation damage due to fines migration after water breakthrough during oil and gas production results in significant well productivity decline. A recent study derived an analytical model for fines migration during commingled water-oil production in homogeneous reservoirs. Yet, reservoir heterogeneity highly affects well productivity. This paper develops an analytical model for layer-cake reservoirs. We develop a novel methodology of characterising productivity decline by the function of impedance versus water-cut, two quantities that are commonly measured throughout the production life of the well. The methodology is based on a new analytical model for inflow performance in layer-cake reservoirs under fines migration. The new model integrates pseudo phase-permeability functions for water-oil flow with equations for fines release and induced permeability damage. The analytical model reveals linear well impedance growth versus water-cut increase, where the slope is determined by a modified form of the mobility ratio which includes the extent of formation damage. This linear form is shown to arise when the formation damage factor is constant, regardless of the reservoir permeability distribution. The model is validated by comparison with production histories of five wells from three fields, which exhibit good agreement with the linear trend predicted by the new model. The explicit formulae allow for prediction of productivity at abandonment, determining the optimal well stimulation time, as well as reconstructing skin values during the early stages of production to better estimate the influences of other formation damage factors, like those induced during drilling and completion.
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