利用生产资料综合识别大孔道的方法研究

发布时间：2018-03-04 18:23

本文选题：大孔道　切入点：主成分分析法　出处：《中国石油大学(华东)》2015年硕士论文　论文类型：学位论文

【摘要】：注水开发是控制油气田产量的主要方式之一,但随着注水开发的继续,由于储层颗粒胶结疏松、非均质性严重等地质因素和高强度开采等开发因素的影响,储层中极易形成大孔道。大孔道的发育会加剧储层的非均质性,使注入流体大量无效循环,大大减小了注入流体的波及范围,降低了其利用效率,从而使得开发效果变差,同时也增加了注水花费与处理成本。因此,加强对大孔道的识别与治理,有助于油田的高效合理开发。然而现有的大孔道识别方法存在考虑因素不全面等问题,为此,本文旨在综合考虑油田开发过程中的地质和开发等生产资料,建立一种大孔道的综合识别方法,实现大孔道发育井组、大孔道发育方向和大孔道发育层位等的综合识别。首先,以注采井组为研究对象,从地质和开发动态资料出发,筛选能够反映大孔道形成前后动静态响应特征的指标构建评价指标体系,进而利用主成分分析法计算井组评价指数,并以此进行大孔道发育井组的定性识别,同时借助典型井的定量解释结果,根据井组评价指数插值得到非典型井大孔道参数的定量结果,形成定性描述与定量解释相结合的大孔道定量描述方法;在此基础上,以注采井对为研究对象,筛选反映大孔道的响应特征构建评价序列,进而利用灰色关联方法计算方向评价指数,并根据其相对大小确定大孔道的发育方向;最后,以层为研究对象,筛选反映大孔道的响应特征构建评价体系,进而利用变异系数权重改进的模糊综合评判方法计算层位评价指数,并根据其相对大小确定大孔道的发育层位,从而形成一套较为完备的大孔道识别体系。通过上述方法的建立加强对储层的认识,为调剖堵水等大孔道治理措施的实施提供理论基础与依据,以此进一步提高注入水的波及系数,从根本上改善油田水驱的开发效果。
[Abstract]:Water injection development is one of the main ways to control the production of oil and gas fields. However, with the development of water injection, geological factors such as loose cementation of reservoir particles, serious heterogeneity and exploitation factors such as high strength exploitation are affected by the development of water injection. It is easy to form large porosity in reservoir. The development of large pore channel will aggravate the heterogeneity of reservoir, make a large number of invalid circulation of injected fluid, greatly reduce the sweep area of injected fluid, reduce its utilization efficiency, and make the development effect become worse. At the same time, it also increases the cost of water injection and treatment. Therefore, strengthening the recognition and treatment of large pore channels is helpful to the efficient and rational development of oil fields. However, the existing methods for identifying large channels have some problems, such as incomplete considerations, and so on. The purpose of this paper is to synthetically consider the geological and production materials in the course of oilfield development, and to establish a comprehensive identification method of large channels, so as to realize the comprehensive identification of large pore development wells, the direction of development of large channels and the developmental horizon of large channels. Taking the injection-production well group as the research object, starting from the geological and development dynamic data, the evaluation index system is constructed by screening the indexes which can reflect the dynamic and static response characteristics before and after the formation of the large pore channel, and then the evaluation index of the well group is calculated by principal component analysis. With the help of the quantitative interpretation results of typical wells, the quantitative results of large channel parameters of atypical wells are obtained according to the interpolation of well group evaluation index. On the basis of this, the injection-production well pair is taken as the research object, and the response characteristics reflecting the large channel are selected to construct the evaluation sequence. Then the direction evaluation index is calculated by using the grey correlation method, and the development direction of the large channel is determined according to its relative size. Finally, taking the layer as the research object, the evaluation system is constructed by screening the response characteristics of the large channel. Furthermore, the interval evaluation index is calculated by using the fuzzy comprehensive evaluation method, which is improved by the weight of coefficient of variation, and the developmental horizon of the large pore channel is determined according to its relative size. Through the establishment of the above methods, we can strengthen the understanding of the reservoir, and provide the theoretical basis and basis for the implementation of the treatment measures such as profile control and water plugging. In this way, the sweep efficiency of injected water can be further improved, and the development effect of oilfield water drive will be improved fundamentally.
【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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