注水系统井间连通性测试解释

A. V. Dinh, D. Tiab
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引用次数: 10

摘要

该研究是一项新技术的延伸,该技术可以根据注水系统中注入器和采油器的井底压力波动来确定油藏井间连通性。该技术使用约束多元线性回归分析来获得有关渗透率趋势、通道和屏障的信息。该技术的优点是简化了井间连通性系数的一步计算,数据点数量少,测试计划灵活。然而,之前的研究既没有深入了解井间连通性系数与其他油藏参数之间的关系,也没有提供任何关系。本文建立了注水系统中注采井井底压力响应的数学模型。该模型基于封闭矩形油藏中全透直井的现有解决方案。然后利用上述井间连通性测试数据,计算井间相对渗透率、平均储层压力变化和储层总孔隙体积。从结果可以推断出储层的区隔。还介绍了生产井作为信号井、注水井作为响应井、关井作为响应井的实例。提供了这些案例的结果摘要。本研究还讨论了储层行为和表皮因素的影响。研究结果表明:(1)数学模型与井间连通性系数能很好地量化储层参数;(2)该方法提供了对非均质性下注水的多井系统的深入理解;(3)注水井和生产水井在计算井间连通性方面具有相同的效果,因此它们的作用可以互换。该研究为从井底压力波动推断井间连通性的方法提供了灵活性和理解。井间连通性测试使我们能够准确量化各种储层属性,从而优化储层性能。分析了均质、各向异性储层、高渗透通道储层、部分封闭性断层和封闭性断层的综合储层模型。本文详细介绍了实验结果。一步一步的程序,图表,表格和推导包括在论文中。
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Interpretation of interwell connectivity tests in a waterflood system
This study is an extension of a novel technique to determine interwell connectivity in a reservoir based on fluctuations of bottom hole pressure of both injectors and producers in a waterflood system. The technique uses a constrained multivariate linear regression analysis to obtain information about permeability trends, channels, and barriers. Some of the advantages of this new technique are simplified one-step calculation of interwell connectivity coefficients, small number of data points and flexible testing plan. However, the previous study did not provide either in-depth understanding or any relationship between the interwell connectivity coefficients and other reservoir parameters. This paper presents a mathematical model for bottom hole pressure responses of injectors and producers in a waterflood system. The model is based on available solutions for fully penetrating vertical wells in a closed rectangular reservoir. It is then used to calculate interwell relative permeability, average reservoir pressure change and total reservoir pore volume using data from the interwell connectivity test described in the previous study. Reservoir compartmentalisation can be inferred from the results. Cases where producers as signal wells, injectors as response wells and shut-in wells as response wells are also presented. Summary of results for these cases are provided. Reservoir behaviours and effects of skin factors are also discussed in this study. Some of the conclusions drawn from this study are: (1) The mathematical model works well with interwell connectivity coefficients to quantify reservoir parameters; (2) The procedure provides in-depth understanding of the multi-well system with water injection in the presence of heterogeneity; (3) Injectors and producers have the same effect in terms of calculating interwell connectivity and thus, their roles can be interchanged. This study provides flexibility and understanding to the method of inferring interwell connectivity from bottom-hole pressure fluctuations. Interwell connectivity tests allow us to quantify accurately various reservoir properties in order to optimise reservoir performance. Different synthetic reservoir models were analysed including homogeneous, anisotropic reservoirs, reservoirs with high permeability channel, partially sealing fault and sealing fault. The results are presented in details in the paper. A step-by-step procedure, charts, tables, and derivations are included in the paper.
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