中国石油大学学报（自然科学版）2013，Vol.37Issue(2)：1-6,13,7.DOI:10.3969/j.issn.1673-5005.2013.02.001
基于砂岩组构分类评价的储层渗透率预测
Reservoir permeability prediction based on sandstone texture classification
摘要
Abstract
By using different permeability prediction models based on petrologic analysis of the sandstone, the permeability prediction of sandstone was studied for the Upper Shaximiao formation in Xinchang area of Western Sichuan Basin. The results show that the sandstones are secondary porosity dominated with poor porosity-permeability relationships and consequently have a disparity between gas production and reservoir evaluation using porosity data. The reservoirs were classified on the basis of component, texture and pore space types of sandstones, and the corresponding permeability prediction models of porosity-permeability relationship were developed, which can increase the correlation between porosity and permeability. The reservoir types can be differentiated by analyzing the relationships between reservoir characteristics and well log parameters. Based on enhanced well logging porosity interpretation, more accurate permeability values are obtained by using well-log-calculated porosities and permeability prediction models, which is helpful for improving reservoir evaluation.关键词
致密砂岩储层/孔渗关系/新场地区/上沙溪庙组/渗透率预测Key words
tight sandstone reservoir/ porosity-permeability relationship/ Xinchang area/ the Upper Shaximiao formation/ permeability prediction分类
能源科技引用本文复制引用
孟万斌,吕正祥,唐宇,冯明石..基于砂岩组构分类评价的储层渗透率预测[J].中国石油大学学报（自然科学版）,2013,37(2):1-6,13,7.基金项目
国家科技重大专项(2008ZX05002-004-002) （2008ZX05002-004-002）
油气藏地质及开发工程国家重点实验室项目(国重科研G9) （国重科研G9）
