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克拉玛依油田九6区齐古组沉积微相定量识别技术

发布时间:2018-02-27 14:03

  本文关键词: 沉积微相 定量识别 测井曲线 相似度求取 出处:《中国地质大学(北京)》2017年硕士论文 论文类型:学位论文


【摘要】:进行沉积微相研究,可以进一步确定砂体形态、展布特征、相带的宽度及纵横向连通的非均质性。而在识别沉积微相技术由定性到定量的转变过程中,识别手段始终局限于单井沉积微相的定量识别。本文则在单井识别的基础上,力求利用井间测井曲线相似度进行沉积微相的定量判别,提高识别精度,量化相界线。论文以克拉玛依油田齐古组稠油油藏为例,结合前人对本区沉积环境的认识以及小层精细对比的结果,总结分析了研究区块的区域地质概况。在此基础上,总结归纳了本区沉积环境以及沉积微相类型。对定量识别沉积微相的方法进行了研究。根据以往定量识别技术的研究,拟定单井沉积微相类型的定量确定方法为判别分析法,并在此基础上,利用闵式距离求取测井曲线邻井相似度进而实现平面上沉积微相的定量识别。从而开展绘制沉积微相平面图以及垂相叠置关系的研究。最终通过确定性建模的方法实现沉积微相量化由二维到三维的转变。在整个过程中,结合Visual Basic 6.0开发,客户端采用Windows平台。通过编写的自动识别程序和专业地质绘图软件Discovery相结合,可以达到量化识别沉积微相的目的,且由于借助计算机强大的运算能力,相对于人工判相来说,也提高了工作效率。从本文的研究可以总结出以下研究成果:1、以沉积学理论为指导,利用岩心、测井等资料,结合前人研究成果,分析了本区地层特征、构造特征及砂体展布特征;2、在前人定量识别沉积微相的基础上引入了邻井关系,对于相界线的量化有很大帮助;3、编制了自动识别沉积微相及邻井相似度的程序;4、总结出本区沉积微相的分布特点。九6区齐古组2砂组平面上发育水下分流河道、河口坝、串沟;5、采用确定性建模的方法建立了本区的地质模型,从而实现了定量识别沉积微相由面到体的转变,得到的模型统计特征与井上分布特征较吻合,且符合实际地质意义,能较好地为属性模型的建立做准备。
[Abstract]:The study of sedimentary microfacies can further determine the sand body shape, distribution characteristics, the width of facies belt and the heterogeneity of longitudinal and transverse connectivity. However, in the process of identifying sedimentary microfacies from qualitative to quantitative, The recognition method is always limited to the quantitative identification of sedimentary microfacies in single well. On the basis of single well recognition, this paper tries to use the similarity of logging curves between wells to make quantitative discrimination of sedimentary microfacies and improve the recognition accuracy. Quantitative facies boundary. Taking Qigu formation heavy oil reservoir in Karamay oilfield as an example, combining with the previous understanding of sedimentary environment and the results of fine correlation of small layers, the paper summarizes and analyzes the regional geological situation of the study block. The sedimentary environment and sedimentary microfacies types in this area are summarized and summarized. The method of quantitative identification of sedimentary microfacies is studied. According to the previous research of quantitative identification technology, the quantitative determination method of sedimentary microfacies in single well is developed as discriminant analysis method. And on this basis, The similarity of adjacent wells of log curves is obtained by Min distance, and then the quantitative identification of sedimentary microfacies on plane is realized. The study of drawing sedimentary microfacies plane map and superposition relation of vertical facies is carried out. Finally, the square of deterministic modeling is adopted. During the whole process, the quantitative transformation of sedimentary microfacies from two to three dimensions is realized. Combined with the development of Visual Basic 6.0, the client adopts Windows platform. By combining the automatic identification program written with the professional geological drawing software Discovery, the purpose of quantification identification of sedimentary microfacies can be achieved, and because of the powerful computing ability of computer, Compared with artificial phase judgment, the work efficiency is also improved. From the research in this paper, the following research results can be summarized as follows: 1. Guided by sedimentology theory, using core, logging and other data, combined with previous research results, the stratigraphic characteristics of this area are analyzed. Based on the quantitative identification of sedimentary microfacies by predecessors, the relationship between adjacent wells is introduced. For the quantitative analysis of facies boundary, a program for automatic identification of sedimentary microfacies and similarity of adjacent wells is compiled, and the distribution characteristics of sedimentary microfacies in this area are summarized. The subaqueous distributary channel and estuarine dam are developed on the plane of sand formation 2 of Qigu formation in area 96. By using the deterministic modeling method, the geological model of this area is established, and the transformation of sedimentary microfacies from plane to body is realized. The statistical characteristics of the model are in good agreement with the distribution characteristics of the well and accord with the actual geological significance. Can better prepare for the establishment of attribute model.
【学位授予单位】:中国地质大学(北京)
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:P618.13

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