石油物探2026，Vol.65Issue(1)：118-128,11.DOI:10.12431/issn.1000-1441.2024.0255
基于孔隙结构因子的致密砂砾岩储层品质分类评价方法及应用
A classification and evaluation method and its application for tight glutenite reservoir quality based on pore structure factor
摘要
Abstract
It is difficult to predict high-quality tight glutenite reservoirs with low porosity and low permeability in the Triassic Baikouquan Formation,the Mabei slope of the Junggar Basin.Reservoir classification and log evaluation are of great geological significance for identifying high-quality reservoirs and guiding hydrocarbon production.Through mercury intrusion porosimetry,three pore structure-sensitive parameters:sorting coefficient(SC),average capillary radius(RC),and displacement pressure(Pd),which correlate well with permeability,are selected to construct a pore structure factor(KX)by using a mathematical method.As per a correlation analysis between various log data and pore structure factor,shale content and the ratio of porosity to neutron porosity are used to characterize pore structure factor for tight glutenite reservoir classification in the study area.Classes I,II,and III correspond to good,moderate,and poor reservoir quality,respectively.Field application shows a good correlation between reservoir quality and oil testing results.This approach enables continuous pore-structure characterization using conventional logging data for Triassic Baikouquan Formations in the Mabei slope,thereby facilitating high-quality glutenite reservoir identification.关键词
砂砾岩/孔隙结构因子/渗透率/压汞/储层分类Key words
glutenite/pore structure factor/permeability/mercury injection/reservoir classification分类
能源科技引用本文复制引用
喻臻,王爱霞,周伯玉,吴新豫,李亮,徐怀宝..基于孔隙结构因子的致密砂砾岩储层品质分类评价方法及应用[J].石油物探,2026,65(1):118-128,11.基金项目
中国石油天然气集团有限公司科技专项"致密砾岩储层分类评价及甜点区预测技术研究"(2023ZZ24YJ02)资助.This research is financially supported by the Science and Technology Project of China National Petroleum Corporation(Grant No.2023ZZ24YJ02). （2023ZZ24YJ02）
