鄂尔多斯盆地W206区延9储层特征研究

发布时间：2018-12-15 09:49

【摘要】：研究区鄂尔多斯盆地W206井区延9储层是典型的中孔中渗油层。由于储层的类型、层位、内部构造、分布范围等一系列特征是影响地下油气分布状况、油层储量及产能的重要因素。所以随着该区勘探开发工作的不断深入,开展针对该区目的层储层特征的研究对制定合理的开发技术政策,提出油田高效开发的技术方向提供重要理论依据。本论文以W206井区延9储层为研究对象。首先通过开展文献调研、梳理了国内外储层特征的研究方法,然后基于研究区地质、岩心、测井和生产动态资料,在前人研究的基础上,完成了对研究区目的层的地层精细划分与对比、开展了储层“四性”关系及测井资料二次解释研究,砂顶微构造特征以及砂体展布规律分析、储层沉积微相分析、储层参数展布特征及储层非均质性分析,最后基于聚类分析理论,利用数据分析软件SPSS的聚类分析模块,对研究区储层开展定量分类。研究表明,研究区延9储层可以划分为延91+2和延93两个小层;研究区延9油层组属于西倾单斜构造,局部发育为鼻隆构造。对该区“四性关系”的分析表明:研究区储层的岩性决定物性和含油气性,表现为一定的电性特征,从而可以利用电性特征来分析和揭示岩性、物性和含油性的特征。该区砂体呈自西北向东南的条带状展布,延展性较好。各小层中延91+2砂体厚度大,含油性好,为该区主力油层。研究区为三角洲平原相沉积,沉积微相主要有分流河道、天然堤和分流间湾。该区延9储集层渗透率与孔隙度有较好的相关性,其渗透率的平面展布趋势与孔隙度非常相似。非均质性分析表明:研究区延9各小层间延91+2非均质性强于延93。利用数据分析软件SPSS的聚类分析模块,选取孔隙度、渗透率、砂地比、砂岩厚度作为表征参数,对研究区储层进行分类评价,结果表明,本次研究划分的结果与现在普遍所采用的分类标准具有一定的相关性。
[Abstract]:Yan9 reservoir in well W206 in Ordos Basin is a typical mesoporous and permeable reservoir. A series of characteristics, such as reservoir type, formation, internal structure and distribution range, are important factors affecting the distribution of underground oil and gas, reservoir reserves and productivity. Therefore, with the deepening of exploration and development in this area, the research on reservoir characteristics of the target layer in this area provides an important theoretical basis for formulating reasonable development technology policy and putting forward the technical direction of oil field efficient development. This paper takes Yan 9 reservoir in W206 well area as the research object. Based on the geological, core, well logging and production performance data of the study area, the research methods of reservoir characteristics at home and abroad are reviewed. The fine stratigraphic division and correlation of the target layer in the study area were completed, the "four properties" relation of reservoir and the secondary interpretation of logging data, the characteristics of sand roof microstructure and the distribution of sand body, the sedimentary microfacies analysis of reservoir were carried out. The distribution characteristics of reservoir parameters and the analysis of reservoir heterogeneity are analyzed. Finally, based on the theory of cluster analysis, the quantitative classification of reservoirs in the study area is carried out by using the cluster analysis module of data analysis software SPSS. The study shows that Yan 9 reservoir in the study area can be divided into two sub-layers, Yan 912 and Yan 93, and that the Yan 9 oil formation belongs to the westward tilting monoclinal structure, and the local development is a rhinouplift structure. The analysis of the "four properties" in the study area shows that the lithology of the reservoir in the study area determines the physical properties and the oil-bearing gas properties, which are characterized by certain electrical characteristics, which can be used to analyze and reveal the characteristics of lithology, physical property and oil-bearing property. The sand bodies in this area are striped from northwest to southeast with good ductility. The sand body of 912 in each sublayer is of great thickness and good oil content, which is the main reservoir in this area. The study area is delta plain facies sedimentary microfacies are mainly distributary channel natural embankment and interdistributary bay. There is a good correlation between permeability and porosity of Yan-9 reservoir, and the distribution trend of permeability is very similar to that of porosity. The analysis of heterogeneity showed that the heterogeneity of 912 layers was stronger than that of extension 93. By using the cluster analysis module of data analysis software SPSS, selecting porosity, permeability, sand to ground ratio and sandstone thickness as characterization parameters, the reservoir in the study area is classified and evaluated. The results show that, The results of this study are related to the commonly used classification criteria.
【学位授予单位】：西安石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.13

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