岩矿测试2026，Vol.45Issue(1)：86-100,15.DOI:10.15898/j.ykcs.202504180096
基于全直径CT扫描的准噶尔盆地煤层气储层矿物表征及含气量预测
Mineral Characterization and Gas Content Prediction of Coalbed Methane Reservoirs in the Junggar Basin Based on Full-Diameter CT Scanning
摘要
Abstract
The complex mineral distribution,particularly clay minerals impacting reservoir sensitivity,poses a key challenge for optimizing development and preventing damage in the Junggar Basin's coalbed methane reservoirs.To address this,coal samples from four wells were analyzed using full-diameter CT scanning and field emission SEM.Shape factor and CT grayscale value were introduced as key parameters,establishing a method to distinguish coal matrix,clay minerals,pyrite,and calcite.This method was applied for mineral modeling,content calculation,sensitivity evaluation,and gas content prediction.Results showed the following:(1)Combined CT grayscale value and shape factor analysis effectively distinguished minerals;calcite's high shape factor(10-50)was a key identifier.(2)A reservoir sensitivity classification based on clay content was developed:weak(<40%),medium(40%-70%),and strong(>70%)water sensitivity.(3)A significant negative correlation model(R>0.7)between clay content and measured gas content was built,with prediction errors<10%.(4)Controlled depressurization rates are recommended for medium-strong sensitivity zones during drainage.Key breakthroughs include revealing vertical heterogeneity and clay enrichment via continuous quantification,coupling spatial clay distribution with sensitivity for drainage control guidance,and supporting"sweet spot"identification via the gas content prediction model.关键词
非常规油气/单井矿物评价/全直径CT扫描/黏土矿物/敏感性评价/含气量预测Key words
unconventional gas/single-well mineral evaluation/full-diameter CT scanning/clay minerals/sensitivity evaluation/gas content prediction分类
能源科技引用本文复制引用
李文杰,陈国辉,吴云利,朱晓虎,张强,李浩然,薛磊,姚明伟,温丽娟,吴锦彪..基于全直径CT扫描的准噶尔盆地煤层气储层矿物表征及含气量预测[J].岩矿测试,2026,45(1):86-100,15.基金项目
新疆维吾尔自治区重点研发项目"新疆重点盆地深部煤层气资源评价及有利区优选与开发技术"(2024B01017) （2024B01017）
