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鄂爾多斯盆地W206區(qū)延9儲(chǔ)層特征研究

發(fā)布時(shí)間:2018-12-15 09:49
【摘要】:研究區(qū)鄂爾多斯盆地W206井區(qū)延9儲(chǔ)層是典型的中孔中滲油層。由于儲(chǔ)層的類型、層位、內(nèi)部構(gòu)造、分布范圍等一系列特征是影響地下油氣分布狀況、油層儲(chǔ)量及產(chǎn)能的重要因素。所以隨著該區(qū)勘探開發(fā)工作的不斷深入,開展針對(duì)該區(qū)目的層儲(chǔ)層特征的研究對(duì)制定合理的開發(fā)技術(shù)政策,提出油田高效開發(fā)的技術(shù)方向提供重要理論依據(jù)。本論文以W206井區(qū)延9儲(chǔ)層為研究對(duì)象。首先通過(guò)開展文獻(xiàn)調(diào)研、梳理了國(guó)內(nèi)外儲(chǔ)層特征的研究方法,然后基于研究區(qū)地質(zhì)、巖心、測(cè)井和生產(chǎn)動(dòng)態(tài)資料,在前人研究的基礎(chǔ)上,完成了對(duì)研究區(qū)目的層的地層精細(xì)劃分與對(duì)比、開展了儲(chǔ)層“四性”關(guān)系及測(cè)井資料二次解釋研究,砂頂微構(gòu)造特征以及砂體展布規(guī)律分析、儲(chǔ)層沉積微相分析、儲(chǔ)層參數(shù)展布特征及儲(chǔ)層非均質(zhì)性分析,最后基于聚類分析理論,利用數(shù)據(jù)分析軟件SPSS的聚類分析模塊,對(duì)研究區(qū)儲(chǔ)層開展定量分類。研究表明,研究區(qū)延9儲(chǔ)層可以劃分為延91+2和延93兩個(gè)小層;研究區(qū)延9油層組屬于西傾單斜構(gòu)造,局部發(fā)育為鼻隆構(gòu)造。對(duì)該區(qū)“四性關(guān)系”的分析表明:研究區(qū)儲(chǔ)層的巖性決定物性和含油氣性,表現(xiàn)為一定的電性特征,從而可以利用電性特征來(lái)分析和揭示巖性、物性和含油性的特征。該區(qū)砂體呈自西北向東南的條帶狀展布,延展性較好。各小層中延91+2砂體厚度大,含油性好,為該區(qū)主力油層。研究區(qū)為三角洲平原相沉積,沉積微相主要有分流河道、天然堤和分流間灣。該區(qū)延9儲(chǔ)集層滲透率與孔隙度有較好的相關(guān)性,其滲透率的平面展布趨勢(shì)與孔隙度非常相似。非均質(zhì)性分析表明:研究區(qū)延9各小層間延91+2非均質(zhì)性強(qiáng)于延93。利用數(shù)據(jù)分析軟件SPSS的聚類分析模塊,選取孔隙度、滲透率、砂地比、砂巖厚度作為表征參數(shù),對(duì)研究區(qū)儲(chǔ)層進(jìn)行分類評(píng)價(jià),結(jié)果表明,本次研究劃分的結(jié)果與現(xiàn)在普遍所采用的分類標(biāo)準(zhǔn)具有一定的相關(guān)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.
【學(xué)位授予單位】:西安石油大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:P618.13

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