摘要
本文根据岩样实验分析数据同测井资料的相关性,通过多元线性回归方法,建立了通过多条测井曲线计算煤层气含气量的公式。公式涉及到与煤层含气量直接有关的数据(补偿密度、声波时差、电阻率),体积组分有关的数据(自然伽马、补偿密度),煤层所受压力有关参数(煤层埋深,垂深)。与单一密度、单一电阻率回归公式进行了对比,多元回归的精度要明显好于单元回归。应用实例表明,这种方法适合于本地区的勘探开发工作,多元回归公式建立过程并不复杂,实际使用其计算含气量也较简便。
Based on the correlation of a lot of analysis of rock samples and logging data, the equation for calculating the coal bed gas content is established, which contains data of the coal-bed gas content(compensation density, interval transit time and resistivity) and the volume component of coal bed(natural gamma and compensation density) and parameters of coal bed suffered pressure( burial depth and vertical depth). It is compared with the single density or resistivity regression equations. The result shows that the accuracy of multiple linear regression is better than the unit one. Application cases indicate that this method is suitable for the area.The establishment of multiple regression equation is not difficult and practical gas content calculation is simple.
出处
《国外测井技术》
2014年第3期27-31,4,共5页
World Well Logging Technology
关键词
煤层气
含气量
多元线性回归
测井
coal bed gas
gas content
multiple linear regression
well logging
