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A Comprehensive Model for Injectivity Decline Prediction during PWRI

机译:PWRI期间重新注射率下降预测综合模型

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Injectivity decline is a chronicle disaster during produced water re-injection (PWRI); the phenomenon has been widely reported in the literature for North Sea, Gulf of Mexico and Campos Basin fields. The damage happens due to solid and liquid particles in the re-injected water. The injectivity decline prediction is important for planning and design of PWRI, of injected water treatment and of well stimulation procedures. The reliable prediction should be based on mathematical modelling using well injectivity index history and laboratory data. The mathematical models for deep bed filtration of particles and for external filter cake formation have been developed and adjusted to coreflood and well data by numerous authors (Sharma, Khatib, Wennberg et. al.). Here we add modelling of external cake erosion during well closing by the growing cake and filling the well by the erosion particles and develop a comprehensive model. The comprehensive model predicts very peculiar injectivity index (II) curve: initial II increase due to displacement of oil by less viscous water, slow II decline due to deep bed filtration, fast II decrease during external filter cake formation, II stabilization due to cake erosion during the rat hole filling by the eroded particles and further II decrease during well column filling by erosion products. The model is implemented in Excel; the software SPIN Simulates and Predicts the INjectivity. We present in details the history matching for three injectors (field X, Campos Basin, Brazil), showing good agreement between modelling and well data. The obtained values of injectivity damage parameters lay in the same rage intervals as those calculated from laboratory corefloods.
机译:注射率下降是在生产的水重新注入(PWRI)期间的历史灾害;该现象已被广泛报道在北海,墨西哥湾和坎波盆地领域的文献中。由于重新注入的水中的固体和液体颗粒,损伤发生。注射率下降预测对于预测水处理和良好刺激手术的PWRI规划和设计是重要的。可靠的预测应基于使用井注射率历史和实验室数据的数学建模。已经开发了颗粒和外部滤饼形成的深床过滤的数学模型,并通过众多作者(Sharma,Khatib,Wennberg等。)。在这里,我们在营养蛋糕井间关闭期间添加外部蛋糕侵蚀的建模,并通过侵蚀颗粒填充井并开发综合模型。综合模型预测非常奇特的再射性指数(II)曲线:初始II由于油的位移由于油的较低水分,因此由于深床过滤而减缓II次下降,外部滤饼形成期间的速度下降,由于蛋糕腐蚀,II稳定性稳定在大鼠孔期间通过侵蚀的颗粒填充,并且在通过腐蚀产物填充井柱期间的II进一步减少。该模型在Excel中实现;软件旋转模拟并预测注射性。我们详细介绍了三个注射器(Field X,Campos Basin,Brazil)的历史匹配,在建模和井数据之间表现出良好的一致性。获得的注射损伤参数值与从实验室内普罗夫斯计算的相同的愤怒间隔奠定了相同的愤怒间隔。

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