多次幂指数型广义水驱特征曲线的建模和应用

发布时间：2018-04-26 01:07

本文选题：微分模型 + 油水相对渗透率　；参考：《石油学报》2017年03期

【摘要】：用演绎推导建立了时空自变量微分模型,结合油、水相对渗透率的实验统计分析,对多次幂指数型广义水驱特征曲线预测通式进行了系统深入的研究与应用。预测通式在机理方面揭示了半经验和半理论的统计特征,在应用方面具备了广义性和高效性。广义水驱特征曲线普遍适用于国内外各地质类型的油田和井区,用水驱特征指数快速判定曲线形态及函数类型,用前期开发资料预测可采储量,分析各类油田的水驱油效果和措施增产效果,为油田开发全过程的方案规划制定提供了科学依据,提高了油藏动态预测分析的工作效率。建立了一式多用的微分公式和预测通式,并对一、二类广义水驱特征曲线公式进行互换性研究,确定了水驱特征指数定义域,分析了多次幂指数函数类型特点,系统地研究了各种曲线形态的渗流机理,推导了提高预测精度的简易算法公式,方法具有一定实用性及理论价值。
[Abstract]:The differential model of space-time independent variables is established by deductive derivation. Combined with the experimental statistical analysis of the relative permeability of oil and water, the general prediction formula of the generalized water drive characteristic curve with multiple power exponents is studied and applied systematically and deeply. The general formula of prediction reveals the statistical characteristics of semi-experience and semi-theory in the aspect of mechanism, and has broad sense and high efficiency in application. The generalized water drive characteristic curve is generally suitable for oil fields and well areas of various geological types at home and abroad. The characteristic index of water drive quickly determines the shape and function types of curves, and predicts recoverable reserves by using pre-development data. This paper analyzes the effect of water flooding and measures to increase oil production in various oilfields, which provides a scientific basis for the formulation of the whole process of oilfield development, and improves the working efficiency of reservoir performance prediction and analysis. In this paper, a multipurpose differential formula and a general prediction formula are established, and the interchangeability of one and two kinds of generalized water drive characteristic curve formulas are studied, the definition region of water drive characteristic index is determined, and the characteristics of multiple power exponent function types are analyzed. The seepage mechanism of various curve forms is systematically studied and a simple formula for improving the prediction accuracy is derived. The method is practical and valuable in theory.
【作者单位】：大庆油田有限责任公司勘探开发研究院;
【分类号】：TE357.6

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