论文部分内容阅读
随着油田开发的不断深入,原有的压裂后产能预测方法已不能满足油田开发需要。为了更科学合理地预测压裂后油井产能,本文以萨中开发区高含水后期为例,在现有方法的基础上,提出了一种预测压裂后产能的新方法(因素分析——公式推导——实例验证),其基本思路是:首先对影响油井压裂后产能的各因素进行分类分析,然后利用正交设计法对各主要影响因素按照影响权重进行量化打分,再根据打分情况由统计学原理拟和出压裂后产能预测公式,最后对产能预测公式进行实例分析以检验其合理性。就萨中开发区高含水后期而言,在影响油井压裂效果的地质因素中,我们分别考虑了压裂层砂岩厚度、隔层频数、含水、渗透率、生产压差、无因次导流能力、平均单缝厚度、渗流强度、表皮系数等九个因素的影响,通过逐一分析,认为前六个因素对油井压裂效果的影响较大,因此针对这六个因素并进行了模糊分析,结合正交设计法给出了各影响因素在油井适宜压裂情况下的量化界限,然后根据这一界限拟和出相应的压裂产能预测公式,最后实例验证。研究结果表明,这种预测方法能够基本准确地预测压裂后产能,能够切实满足油田开发需要,为压裂方案中的选井选层提供了可靠的理论依据。
With the continuous development of oilfields, the original methods for predicting productivity after fracturing can no longer meet the needs of oilfield development. In order to predict the productivity of oil well after fracturing more scientifically and reasonablely, this paper takes the late high water cut period of Sazhong Development Zone as an example. Based on the existing methods, a new method of predicting the post-fracturing productivity is proposed (factor analysis - formula The basic idea of this method is as follows: Firstly, the factors affecting the productivity after oil well fracturing are classified and analyzed, and then the orthogonal design method is used to quantify the main influencing factors according to the influence weight, and then according to the scoring conditions Statistical principle to fits out the prediction formula of productivity after fracturing, and finally analyzes the productivity prediction formula to test its rationality. For the later stage of high water cut in Sazhong Development Zone, among the geological factors that affect the fracturing effect of oil wells, we consider the fracturing sandstone thickness, interlayer frequency, water content, permeability, production pressure difference, dimensionless diversion Through analyzing the influence of the first six factors on the fracturing effect of oil well, the paper analyzes the six factors and carries out the fuzzy analysis, Combined with the orthogonal design method, the quantification limit of each influencing factor in well fracturing is given, and then the corresponding prediction formula of fracturing capacity is drawn according to this limit. The final example is validated. The results show that this prediction method can predict the post-fracture productivity basically and accurately, meet the needs of oilfield development and provide a reliable theoretical basis for well selection in fracturing scheme.