硫酸盐垢对采油指数的影响研究

发布时间：2018-01-02 11:35

本文关键词：硫酸盐垢对采油指数的影响研究　出处：《西南石油大学》2016年硕士论文　论文类型：学位论文

【摘要】：油田生产过程中,注水开采是常用的提高油井产能的重要措施之一。但是,由于注水过程中储层环境因素的改变,以及注入水与地层水的不配伍现象,储层与井筒都可能出现结垢问题。其中,硫酸盐垢由于其溶解度极低,一旦生成将很难去除,这将严重影响油田的正常生产。因此,针对硫酸盐垢的特点,建立并完善相应的动态结垢预测模型,研究结垢对采油指数的影响,对于制定油田生产过程中的防垢除垢措施具有积极意义。本文主要涉及以下几个方面：首先,在国内外结垢预测模型调研基础上,对硫酸钡结垢机理与预测进行了研究,归纳了硫酸钡垢的特点和主要影响因素,为深入研究硫酸钡结垢预测模型提供理论支撑。其次,研究了成垢离子浓度分布模型和含扩散项的岩心一维结垢预测模型,对相关参数进行了修正,并优化了获取模型参数的实验方法,且证明了该方法的合理性。然后,研究了硫酸钡结垢量分布、结垢总量以及最大结垢量对采油指数的影响,并进行预测。具体成果如下：(1)用图像法实现了成垢离子浓度分布模型的求解,获得了动力学系数和储层损害系数,并模拟了驱替实验过程中岩心内成垢离子浓度分布情况；(2)引入扩散项,用渐进展开法实现了模型的求解,结合岩心扩散实验和岩心稳态驱替实验的数据拟合得到无因次扩散系数和无因次动力学系数；(3)基于含扩散项的岩心一维结垢预测模型进行了瞬态分析,研究了在驱替实验过程中硫酸钡垢的结垢量分布随时间、空间的变化,并分析了岩心非均质性、驱替速度、驱替时间和注入离子浓度比等因素对预测结果的影响；(4)修正了近井地带地层一维结垢预测模型,推导出结垢量与采油指数的关系式,研究了结垢量分布、结垢总量以及最大结垢量对采油指数的影响。
[Abstract]:Water injection production is one of the most important measures to improve the productivity of oil wells during oilfield production. However, due to the change of reservoir environmental factors and the incompatibility of injected water and formation water in the process of water injection. There may be scaling problems in both reservoir and wellbore. Sulfate scale is difficult to remove once it is formed due to its low solubility, which will seriously affect the normal production of oil fields. Therefore, aiming at the characteristics of sulfate scale. Establish and perfect the corresponding dynamic scaling prediction model to study the effect of scaling on oil recovery index. This paper mainly involves the following aspects: first, on the basis of scale prediction model research at home and abroad. The barium sulfate scaling mechanism and prediction are studied, the characteristics and main influencing factors of barium sulfate scale are summarized, which provides theoretical support for further study of barium sulfate scaling prediction model. The model of ion concentration distribution in scale formation and the one-dimensional scaling prediction model with diffusion term are studied. The related parameters are modified and the experimental method for obtaining model parameters is optimized. And the rationality of the method is proved. Secondly, the influence of barium sulfate scaling amount distribution, total scaling amount and maximum scaling amount on oil recovery index is studied. The specific results are as follows: 1) the model of ion concentration distribution is solved by image method, and the kinetic coefficient and reservoir damage coefficient are obtained. The distribution of scaling ion concentration in the core during the displacement experiment is simulated. 2) introducing diffusion term, the model is solved by progressive expansion method, and the dimensionless diffusion coefficient and dimensionless kinetic coefficient are obtained by fitting the data of core diffusion experiment and core steady displacement experiment. (3) based on the one-dimensional scaling prediction model with diffusion term, the transient analysis is carried out, and the variation of barium sulfate scaling amount distribution with time and space during displacement experiment is studied, and the heterogeneity of core is analyzed. The influence of displacement velocity, displacement time and ion concentration ratio on the prediction results; (4) the one-dimensional scaling prediction model in the near-well zone is modified, the relationship between scaling amount and oil recovery index is derived, and the influence of scaling amount distribution, total scaling amount and maximum scaling amount on oil recovery index is studied.
【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TE358.5

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