摘要
为了对鄂尔多斯盆地南部致密储层微观物性进行研究,以研究区山西组为例,利用压汞资料、铸体薄片和岩心资料,引入分形理论,定量分析了研究区致密储层微观物性和孔喉特征。结果表明:1)研究区山西组分形维数主要分布在2.15~2.81,表明储层微观孔隙的非均质性较强;2)研究区分形维数与储集岩多种物性参数存在良好的相关性。分形维数可以定量表征储层微观孔隙特征,即分形维数越小,储层物性及非均质性越好,渗流能力越强;3)分形维数可以定量表征储层微观物性特征,可以应用分形维数对储集层进行分类评价;4)影响致密储层物性的主要因素是沉积相和岩石的矿物成分。以上结果,为研究区下一步的稳产开发提供理论依据。
In order to study the microscopic physical properties of tight reservoirs in the southern Ordos Basin,taking Shanxi Formation in the study area as an example,the authors introduced the fractal theory to quantitatively analyze the microscopic physical properties and pore-throat characteristics of tight reservoirs in the study area based on mercury injection data,cast thin sections,and core data.The results show as follows:1)The distribution range of component shape dimension in Shanxi Formation is mainly 2.15~2.81,indicating that the reservoir micro-pores have strong heterogeneity.2)A good correlation exists between the differential shape dimension and various physical parameters of reservoir rock in the study area.Therefore,the fractal dimension can reflect the microscopic pore characteristics quantitatively.The smaller the fractal dimension,the better the reservoir’s physical property and heterogeneity and the stronger the flow capacity.3)The fractal dimension row number can quantitatively characterize the microscopic physical characteristics of the reservoir,so the fractal dimension can be used to classify and evaluate the reservoir.4)The main factors affecting the physical properties of tight reservoirs are sedimentary facies and the mineral composition of rocks.The above results provide the theoretical basis for the next step of stable production development in the study area.
作者
赵航
罗腾跃
贺沛
孙建峰
李涛
ZHAO Hang;LUO Tengyue;HE Pei;SUN Jianfeng;LI Tao(Research Institute of Yanchang Petroleum(Group)Co.,Ltd.,Xi’an 710065,China)
出处
《非常规油气》
2024年第2期37-45,共9页
Unconventional Oil & Gas
基金
延长石油集团科研攻关项目“延145—延128井区剩余气分布规律研究”(ycsy2019ky-A-21)。
关键词
鄂尔多斯盆地
山西组
致密储层
分形特征
Ordos Basin
Shanxi Formation
tight reservoir
fractal characteristics
