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六种不同变质程度煤的最大镜质组反射率与弹性参数的关系
引用本文:王赟,张玉贵,许小凯.六种不同变质程度煤的最大镜质组反射率与弹性参数的关系[J].地球物理学报,2013,56(6):2116-2122.
作者姓名:王赟  张玉贵  许小凯
作者单位:1. 中国科学院地球化学研究所, 贵阳 550002; 2. 河南理工大学瓦斯地质研究所, 焦作 454003
基金项目:国家重大专项"大型油气田与煤层气开发",中国科学院矿床地球化学国家重点实验室"十二五"项目群
摘    要:煤镜质组反射率是评价煤阶、区分煤种的重要参数之一,在煤层气勘探与开发、采煤、化工和冶金中有着重要的应用.以往煤阶的评价单纯通过巷道和钻孔取芯的煤样实验室测试分析获得,受取样点有限限制.本文通过6种不同变质程度煤的挥发分和镜质组最大反射率的测试,配合煤样的超声弹性测量,探讨了镜质组最大反射率与地震属性参数-波速、密度和弹性模量之间的相关性.研究发现:煤镜质组最大反射率与地震属性参数均存在较好的线性正相关,其中以密度与纵波速度的相关程度最高.从而为利用煤田地震预测镜质组最大反射率,进而预测煤阶的三维立体分布提供了试验与物理依据.

关 键 词:  镜质组反射率  煤阶  弹性模量  相关  
收稿时间:2012-08-06

Relationship between the maximum vitrinite reflectance and the elastic parameters of coal: A lab ultrasonic measurement of 6 metamorphic kinds of coals
WANG Yun , ZHANG Yu-Gui , XU Xiao-Kai.Relationship between the maximum vitrinite reflectance and the elastic parameters of coal: A lab ultrasonic measurement of 6 metamorphic kinds of coals[J].Chinese Journal of Geophysics,2013,56(6):2116-2122.
Authors:WANG Yun  ZHANG Yu-Gui  XU Xiao-Kai
Institution:1. Institute of Geochemistry, Chinese Academy of Science, Guiyang 550002, China; 2. Institute of Coalbed Gas Geology, Henan Polytechnic University, Jiaozuo 454003, China
Abstract:The maximum vitrinite reflectance of coal is an important parameter to estimate coal rank and distinguish coal quality, which has important application in methane exploration and production, coal mining, chemical and metallurgical industry. Sampling in the field and measuring in lab is the most conventional method to get coal rank and its vitrinite reflectance. In this paper, the relationships between maximum vitrinite reflectance with seismic properties and elastic parameters were introduced through reflectance and ultrasonic measurement in the lab on six different metamorphic kinds of coals, including maximum vitrinite reflectance, volatile matter percent, traveling time of pressure wave and shear wave. Through analyzing these testing data, it can be concluded that there is a fine correlation between the maximum vitrinite reflectance and seismic properties, especially the density and P-wave velocity. And it can be deduced that it will be possible to predict coal rank with seismic data.
Keywords:Coal  Vitrinite reflectance  Coal rank  Elastic parameters  Correlation
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