鄂尔多斯盆地M地区低渗透储层评价方法研究
发布时间：2018-08-15 19:35
【摘要】：储层综合评价是指导油气勘探与开发的重要工作,通常被划分为勘探、开发两个阶段,其中勘探阶段主要应用研究区地质与地震资料,并结合少量的钻井与测井技术,对研究区内可能的油气储层进行合理划分。储层评价过程中的核心问题包括:评价参数的确定及其在评价参数体系中的权重分配问题,储层综合评价方法的选择等。低渗透油田在我国储量丰富,且分布范围广泛,但至今为止其开采量还很有限。本文的研究区是姬塬地区、层位是长2油组,它位于鄂尔多斯盆地偏西北部,该区油田开发以低孔、低渗为主要特征。由于单因素评价的局限性,需要建立一套适合低渗透储层特征的评价体系,因此,本文根据该区实际地质状况,通过具体分析,优选了渗透率、孔隙度、可流动体饱和度、主流喉道半径、最大孔隙半径、分选系数、粘土含量及类型、启动压力梯度、地下原油粘度、最大汞饱和度、排驱压力等评价参数来进行下一步的研究。在上述储层评价参数的基础上,本文建立了两种储层综合评价方法,分别是:(1)低渗透储层模糊综合评价模型,主要包括:通过层次分析法确定评价参数的权重并分别对各参数进行灵敏度分析,最终通过对分类结果的分析与验证,将该区储层划分成了四种类型;(2)基于数据挖掘的低渗透储层综合评价模型,主要包括:用多元统计分析中的因子分析优选参数,再结合数据挖掘中四种不同聚类方法在该区应用效果的对比分析,选择最适合的聚类方法进行储层划分,并对所用算法进行了稳定性,然后通过判别分析,完善所有样本的归属类型,该方法将研究区储层也划分为四种类型。在储层评价过程中,借助SPSS、Matlab等计算机软件对数据进行处理,大大的减小了主观因素的影响。通过分析、比较两种综合评价方法的划分结果,得出以下结论:该区均以Ⅱ类储层类型为主,所占比例最小的是Ⅳ类储层,并且,在长312与长222小层中Ⅰ类储层也较发育,其划分符合实际地质特征。从而验证了这两种分析方法的合理性、有效性。
[Abstract]:Reservoir comprehensive evaluation is an important work to guide oil and gas exploration and development, which is usually divided into two stages: exploration and development, in which the geological and seismic data of the study area are mainly used in the exploration stage, and a small amount of drilling and logging techniques are combined. The possible oil and gas reservoirs in the study area are reasonably divided. The core problems in the process of reservoir evaluation include the determination of evaluation parameters and their weight distribution in the evaluation parameter system, the selection of reservoir comprehensive evaluation methods and so on. Low permeability oil fields are rich in reserves and widely distributed in China, but their exploitation is still very limited up to now. The study area of this paper is Jiyuan area, and the horizon is Chang 2 oil formation, which is located in the northwestern part of Ordos Basin. The oil field development in this area is characterized by low porosity and low permeability. Because of the limitation of single factor evaluation, it is necessary to set up a set of evaluation system suitable for the characteristics of low permeability reservoir. Therefore, according to the actual geological conditions in this area, the permeability, porosity and saturation of flowing body are selected according to the actual geological conditions in this area. The main flow throat radius, maximum pore radius, separation coefficient, clay content and type, starting pressure gradient, underground oil viscosity, maximum mercury saturation, displacement pressure and other evaluation parameters were further studied. On the basis of the above reservoir evaluation parameters, two reservoir comprehensive evaluation methods are established in this paper. They are: (1) fuzzy comprehensive evaluation model of low permeability reservoir; The main contents are as follows: the weight of evaluation parameters is determined by analytic hierarchy process (AHP) and sensitivity analysis of each parameter is carried out respectively, and finally, through the analysis and verification of classification results, The reservoir in this area is divided into four types: (2) the comprehensive evaluation model of low permeability reservoir based on data mining, which mainly includes: factor analysis in multivariate statistical analysis, Combined with the comparative analysis of the application effect of four different clustering methods in data mining in this area, the most suitable clustering method is selected for reservoir division, and the stability of the algorithm is given, and then the discriminant analysis is carried out. The classification of all samples is improved and the reservoir in the study area is divided into four types by this method. In the process of reservoir evaluation, the influence of subjective factors is greatly reduced by using SPSS Matlab and other computer software to process the data. Through the analysis and comparison of the results of the two comprehensive evaluation methods, the following conclusions are drawn: the type 鈪，
本文编号：2185199
[Abstract]:Reservoir comprehensive evaluation is an important work to guide oil and gas exploration and development, which is usually divided into two stages: exploration and development, in which the geological and seismic data of the study area are mainly used in the exploration stage, and a small amount of drilling and logging techniques are combined. The possible oil and gas reservoirs in the study area are reasonably divided. The core problems in the process of reservoir evaluation include the determination of evaluation parameters and their weight distribution in the evaluation parameter system, the selection of reservoir comprehensive evaluation methods and so on. Low permeability oil fields are rich in reserves and widely distributed in China, but their exploitation is still very limited up to now. The study area of this paper is Jiyuan area, and the horizon is Chang 2 oil formation, which is located in the northwestern part of Ordos Basin. The oil field development in this area is characterized by low porosity and low permeability. Because of the limitation of single factor evaluation, it is necessary to set up a set of evaluation system suitable for the characteristics of low permeability reservoir. Therefore, according to the actual geological conditions in this area, the permeability, porosity and saturation of flowing body are selected according to the actual geological conditions in this area. The main flow throat radius, maximum pore radius, separation coefficient, clay content and type, starting pressure gradient, underground oil viscosity, maximum mercury saturation, displacement pressure and other evaluation parameters were further studied. On the basis of the above reservoir evaluation parameters, two reservoir comprehensive evaluation methods are established in this paper. They are: (1) fuzzy comprehensive evaluation model of low permeability reservoir; The main contents are as follows: the weight of evaluation parameters is determined by analytic hierarchy process (AHP) and sensitivity analysis of each parameter is carried out respectively, and finally, through the analysis and verification of classification results, The reservoir in this area is divided into four types: (2) the comprehensive evaluation model of low permeability reservoir based on data mining, which mainly includes: factor analysis in multivariate statistical analysis, Combined with the comparative analysis of the application effect of four different clustering methods in data mining in this area, the most suitable clustering method is selected for reservoir division, and the stability of the algorithm is given, and then the discriminant analysis is carried out. The classification of all samples is improved and the reservoir in the study area is divided into four types by this method. In the process of reservoir evaluation, the influence of subjective factors is greatly reduced by using SPSS Matlab and other computer software to process the data. Through the analysis and comparison of the results of the two comprehensive evaluation methods, the following conclusions are drawn: the type 鈪，
本文编号：2185199
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