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Title
Logging parameters applied to quantitatively identify coal structure in Northern Hancheng Mining Area
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作者
陈粤强张晓宏浦静怡
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Author
CHEN Yueqiang ZHANG Xiaohong PU Jingyi
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单位
陕西煤田地质油气钻采有限公司陕西省煤田地质集团有限公司
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Organization
Shaanxi Coal Geological Oil and Gas Diling Company Limited Shaanxi Coal Geological Group Company Limited
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摘要
为了准确识别韩城矿区的煤体结构,以实现煤层气的高效开发,在分析韩城矿区北区钻井取心资料的基础上,将区内煤层的煤体结构划分为更符合实际情况的Ⅰ、Ⅱ、Ⅲ类。结合区内18口井的测井曲线,分析了不同煤体结构的测井响应特征,优选了与煤体结构相关性较好的3个参数:井径CAL、声波时差DT、视电阻率幅值差异系数FR,引入地质强度因子GSI对煤体结构赋值,建立了利用测井参数定量识别煤体结构的多元回归方程,方程中自变量CAL、DT、FR与因变量GSI之间符合线性相关关系。实例应用效果表明,该方程对煤体结构的定量识别结果与钻井取心结果一致,准确度高,可用于精确划分煤体结构“甜点区”。
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Abstract
In order to accurately identify the coal structure in Hancheng Mining Area, so as to realize high efficient development of coalbed methane, based on the
analysis on the well coring data at the Northern Hancheng Mining Area, according to the actual condition, the coal structures of the seams within the mining area was di
vided into Type I, TypeI and Type m. In combination with the logging curves of 18 wells within the mining area, the paper analyzed the logging response features of th
e different coal structures and optimized three parameters with the good relative of the coal structures. The three parameters were the well diameter CAL, acoustic trav
el time DT and difference coefficient FRof the apparent resistivity amplitude. The geological strength factor GSI was introduced to the valuation of the coal structure.Th
e logging parameters were applied to establish the multiple regression equation to quantitatively identify the coal structure. The independent variables CAL, DT and FR
and dependent variable GSI in the equation could meet the linear correlation. The case application effect showed that with the equation, the quantitative identification r
esults of the coal structure would be the same to the well coring results and the high accuracy would be applied to accurately divide the“dessert area' of the coal struct
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关键词
煤体结构测井参数煤层气开发地质强度因子
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KeyWords
coal structure; logging parameters; coalbed mathane development; geological strength factor;
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