基于NMR的煤系泥页岩储层渗透率预测及影响因素分析  

Prediction of Coal Measure Shale Reservoir Permeability and Analysis of Influencing Factors Based on NMR

作　　者：张娜[1,2] 王若晨 张婧雯 王帅栋 赵伟征 ZHANG Na;WANG Ruochen;ZHANG Jingwen;WANG Shuaidong;ZHAO Weizheng(State Key Laboratory for Geomechanics and Deep Underground Engineering,Beijing 100083,China;School of Mechanics and Civil Engineering,China University of Mining and Technology-Beijing,Beijing 100083,China)

机构地区：[1]深部岩土力学与地下工程国家重点实验室,北京100083 [2]中国矿业大学(北京)力学与建筑工程学院,北京100083

出　　处：《煤炭技术》2023年第3期148-154,共7页Coal Technology

基　　金：国家自然科学基金青年科学基金项目(41502264);中央高校基本科研业务费专项基金项目(2020YJSSB07);中国矿业大学(北京)大学生创新训练(C202006968)。

摘　　要：选取柠条塔煤矿泥页岩作为研究对象,通过核磁共振(NMR)实验,分析讨论了储层孔隙结构及渗透率影响因素,对比了6种核磁渗透率模型,并做出了评价。结果表明:试样的核磁共振T_(2)谱均为单峰模式,其主峰分布在0.1~10 ms内,小孔隙是所有试样的主要孔隙类型。在6种核磁共振渗透率预测模型中,T_(2g)单参数模型的预测效果要优于另外5种模型。孔隙度只是渗透率的控制因素之一,而微观孔隙结构是决定储层渗透率的关键参数。另外,矿物组成对渗透率有一定的影响。The shale in Ningtiaota coal mine is selected as the research object. Through nuclear magnetic resonance(NMR) experiment, reservoir pore structure and the influencing factors of permeability are analyzed and discussed. Six nuclear magnetic permeability models are compared and evaluated. The results show that the nuclear magnetic resonance T_(2) spectra of the samples are single peak mode, the main peak is distributed in the range of 0.1 to 10 ms, and small pores are the main pore type of all samples. Among the six NMR permeability prediction models, the prediction effect of T_(2g) single parameter model is better than the other five models. Porosity is only one of the controlling factors of permeability, and micro pore structure is the key parameter to determine reservoir permeability. In addition, mineral composition has a certain influence on permeability.

关 键 词：煤系储层 核磁共振 孔隙结构 渗透率模型 

分 类 号：TE311[石油与天然气工程—油气田开发工程] P631.81[天文地球—地质矿产勘探] P618.13[天文地球—地质学]