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A single-parameter fit correlation for estimation of oil recovery from fractured water-wet reservoirs

机译:单参数拟合相关性估算裂缝性湿法油藏的采油量

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Spontaneous imbibition of water into the matrix blocks due to capillary forces is an important recovery mechanism for recovery of oil from fractured water-wet reservoirs. Such systems are usually modeled as a dual porosity system where the exchange rate of oil and water is described by so called transfer functions. A widely used correlation for predicting oil recovery from an individual matrix block is the Aronofsky model. In general this exponential decay rate function under predict early time recovery and overestimates late time oil recovery. Based on recent advances solving the Washburn equation, a new correlation for describing oil recovery vs. time for single matrix blocks is described. The correlation improves the fit to spontaneous imbibition data published in the literature. The correlation containing the Lambert's W function keeps the simplicity of the Aronofsky model as only one fit parameter is needed in order to predict oil recovery vs. time. Optimal fit to experimental data is obtained with a fit parameter value of 0.05 for the Aronofsky correlation whereas the value of 0.135 should be used in the improved correlation case.
机译:由于毛细作用力的作用,水自发地吸收到基质块中,这是从裂缝性湿润油藏中回收油的重要回收机制。这样的系统通常被建模为双重孔隙度系统,其中油和水的交换率通过所谓的传递函数来描述。 Aronofsky模型是一种广泛用于预测单个基质区块采油量的相关性。通常,该指数衰减率函数会预测早期采收率,并高估后期采油量。基于解决Washburn方程的最新进展,描述了一种用于描述单个基质区块采油量与时间的关系的新关联。相关性提高了文献中自发吸收数据的拟合度。包含兰伯特W函数的相关关系保持了Aronofsky模型的简单性,因为仅需要一个拟合参数即可预测采油量与时间的关系。对于Aronofsky相关性,使用0.05的拟合参数值可获得对实验数据的最佳拟合,而在改进的相关性情况下,应使用0.135的拟合参数。

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