东北石油大学学报2025，Vol.49Issue(3)：14-28,67,16.DOI:10.3969/j.issn.2095-4107.2025.03.002
基于高斯函数重构孔径分布曲线的储层孔隙结构评价方法
Evaluating method of reservoir pore structure based on Gaussian function reconstruction of pore radius dis-tribution curve:a case study from the tight sandstones of the Huagang Formation in Xihu Depression of the East China Sea Basin
摘要
Abstract
In order to quantitatively characterize the pore structure differences and influencing factors of tight sandstone reservoirs,the pore size distribution curves of tight sandstone were reconstructed using Gaussian function,a new pore structure characterization parameter(η)was extracted.The characteriza-tion effect of ηvalue and fractal dimension was compared,and the controlling factors of pore structure of tight sandstone reservoir in Xihu Depression,East China Sea Basin were analyzed based on core observa-tion,thin section identification,scanning electron microscope observation,whole rock X-ray diffraction,laser particle size,porosity,permeability,high-pressure mercury injection and well logging data.The results show that the ηvalues have good correlation with pore structure parameters and fractal dimen-sion,and can be used as a single parameter effective indicator for pore structure evaluation.The pore structure of tight sandstone reservoirs in Xihu Depression is controlled by sedimentation and diagenesis.The larger the particle size and the more concentrated the particle size distribution are,the better the pore structure is.Different mineral components have different effects on reservoir quality,among which quartz can effectively inhibit reservoir compaction.Carbonate cements and clay minerals mostly occupy pore space,making pore connectivity poor.Kaolinite can protect intergranular micropores and improve reservoir connectivity due to its special lattice structure.According to the relationship between η and logging curve,the pore structure of reservoir scale can be predicted.This method is applicable to the re-construction of pore size distribution curves obtained by various experimental methods,but suitable fit-ting models should be selected according to the pore size distribution characteristics of different reservoir types.The results provide some guidance for the economic and effective development of offshore tight sandstone oil and gas fields.关键词
高斯函数/孔隙结构评价指数/孔隙结构/影响因素/致密砂岩/花港组/西湖凹陷Key words
Gaussian function/pore structure evaluation index/pore structure/influence factor/tight sandstone/Huagang Formation/Xihu Depression分类
能源科技引用本文复制引用
潘永帅,屈童,赵静,杨易卓,闫静怡..基于高斯函数重构孔径分布曲线的储层孔隙结构评价方法[J].东北石油大学学报,2025,49(3):14-28,67,16.基金项目
国家科技重大专项(2016ZX05027-002-001) （2016ZX05027-002-001）
