Macrolithotype prediction and 3D geological modeling based on logging parameters
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摘要: 为实现定量判别宏观煤岩类型分布特征,依据煤层气参数井煤岩描述结果,利用不同宏观煤岩类型在测井响应特征的差异性,建立宏观煤岩类型指数(HMLZ)。通过该判别方法完成SZB区块30口井宏观煤岩类型定量识别及验证,进一步采用随机建模方法实现宏观煤岩类型空间分布特征的三维可视化。结果表明: HMLZ>20.0为光亮煤; 10.0Abstract: In order to quantitatively distinguish the distribution characteristics of marcolithotypes, the authors in this research utilized the differences of logging response characteristics of different marcolithotypes to establish the marcolithotypes index HMLZ, according to the coal and rock description results of CBM parameter wells. The quantitative identification and verification of marcolithotypes of 30 wells in SZB block are completed through the discrimination index, and the 3D visualization of the spatial distribution characteristics of macrolithotypes are rea-lized using the stochastic modeling method. The results show that the HMLZ > 20.0 is bright coal, and the 10.0
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Key words:
- marcolithotypes /
- logging response /
- 3D geological modeling /
- SZB block
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