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断块油藏水驱波及系数主控因素分析研究

发布时间:2018-11-10 10:55
【摘要】:水驱波及系数是注水开发油田提高采收率的重要参数,目前水驱波及系数的确定方法大多针对于整装油藏,而断块油藏由于其复杂的地质特征如断层多、断块小、驱动类型多、注采井网难以完善,使得其开发动态特征与整装油藏不同,其主控因素也有差异,因此利用常规方法计算出的波及系数偏差较大。大量研究表明油藏倾角、含油条带宽度、油层厚度、渗透率、渗透率级差、井网密度、粘度比、注水体积等因素对油藏的水驱波及系数影响较大,但大多研究专注于对断块油藏的单一影响因素的分析,而未综合分析各种因素的相对影响程度,没有明确主控因素。因此本文基于以上问题,以东辛油田辛109断块为概念模型,建立了断块油藏地质建模。根据数值模拟方法计算水驱波及系数,根据波及系数与含水率的关系,得到反韵律油藏水驱波及系数比相同地质条件下的正韵律油藏大。利用正交分析对波及系数的主控因素进行分组,再根据多元回归方法,分析影响断块油藏水驱波及系数的主控因素,得到新的规律公式,并进行单因素的敏感性分析。研究结果表明:对于正韵律断块油藏,影响波及系数的主控因素依次为油水粘度比、渗透率级差、含油条带宽度、渗透率及注水体积。而对于反韵律断块油藏,影响波及系数的主控因素依次为粘度比、渗透率、渗透率级差、含油条带宽度、注采井距/含油条带宽度、注水体积、倾角及油层厚度。再分别针对影响程度较大的粘度比、渗透率、渗透率级差、注水体积进行敏感性分析,对影响程度进行判定,并总结各主控因素对波及系数的影响规律。最后以东辛永12区块为例进行应用研究,针对不同开发阶段的不同开发策略分别求得当前开发方式上的最终水驱波及系数,绘制了可采储量的采出程度随含水率的变化曲线,并以实际采出程度与含水率数据进行对比,分析当前开发状态下的采收率,提出了该区块改善开发效果的实施建议,并预测了调整措施的开发效果。
[Abstract]:Water drive sweep coefficient is an important parameter to improve oil recovery in waterflooding development oilfield. At present, the determination method of water drive sweep coefficient is mostly aimed at the whole oil reservoir, while fault block reservoir has many complex geological characteristics such as many faults, small fault block and many driving types. It is difficult to perfect the injection-production pattern, which makes the development dynamic characteristics different from the whole oil reservoir, and the main control factors are different, so the sweep coefficient deviation calculated by the conventional method is large. A large number of studies show that the reservoir dip angle, including the width of Youtiao zone, reservoir thickness, permeability difference, well pattern density, viscosity ratio, water injection volume and other factors have great influence on the water drive sweep coefficient. However, most of the researches focus on the analysis of the single factor of fault block reservoir, but the relative influence degree of various factors is not analyzed synthetically, and the main control factor is not clearly defined. Therefore, based on the above problems, the reservoir geological model of fault block Xin109 in Dongxin Oilfield is established. According to the relationship between sweep coefficient and water cut, the sweep coefficient of water drive in reverse rhythm reservoir is larger than that in normal rhythm reservoir under the same geological conditions. The main control factors of the sweep coefficient are grouped by orthogonal analysis, and the main control factors affecting the sweep coefficient of water drive in fault block reservoir are analyzed according to the multivariate regression method, and a new law formula is obtained, and the sensitivity analysis of single factor is carried out. The results show that the main controlling factors affecting sweep coefficient are oil-water viscosity ratio, permeability difference, the width of Youtiao zone, permeability and water injection volume for the reservoir with positive rhythm fault block. For the reverse rhythm fault block reservoir, the main controlling factors affecting sweep coefficient are viscosity ratio, permeability difference, width of Youtiao zone, injection-production interval / Youtiao zone width, water injection volume, dip angle and reservoir thickness. Then the sensitivity analysis of viscosity ratio, permeability difference and water injection volume are carried out respectively, the influence degree is judged, and the influence law of each main control factor on sweep coefficient is summarized. Finally, the application of Xin-yong 12 block in East China is studied as an example. According to different development strategies in different development stages, the final water drive sweep coefficient of current development mode is obtained, and the curve of recovery degree of recoverable reserves with water cut is drawn. By comparing the actual recovery degree with the water content data, the oil recovery under the current development condition is analyzed, and the implementation suggestions for improving the development effect of the block are put forward, and the development effect of the adjustment measures is forecasted.
【学位授予单位】:中国石油大学(华东)
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TE357.6

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