吐哈盆地烃源岩有机碳质量分数测井定量预测模型

2012年 19卷 第03期
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A quantitative prediction model of organic carbon content of hydrocarbon source rocks based on logging data in Tuha Basin
韩双彪 2 张金川1 黄卫东3 王志勇3 俞益新1
中国地质大学(北京)能源学院,北京 100083 中国地质大学(武汉)构造与油气资源教育部重点实验室,湖北 武汉 430074 中国石油吐哈油田公司勘探开发研究院,新疆 哈密 839009
School of Energy and Resources, China University of Geosciences, Beijing 100083, China MOE Key Laboratory of Tectonics and Petroleum Resources, China University of Geosciences, Wuhan 430074, China Research Institute of Exploration and Development, Tuha Oilfield Company, PetroChina, Hami 839009, China
烃源岩地层通常具有高声波时差、高孔隙度、高电阻率和低密度等测井响应特征。正常情况下,烃源岩有机碳质量分数越高,其在测井曲线上的异常反应就越大。将测井信息与有机碳质量分数之间建立一种定量关系模型,就可以计算出烃源岩有机碳质量分数在纵向上的连续变化值,从而有效地弥补实验室测样的不足。国内外学者对此进行了相关的探讨与研究,提出的定量预测模型可分为单参数型和多参数型。文中依据吐哈盆地地质资料,在Δlg R方法的基础上同时结合多元统计原理,选取了声波时差测井与电阻率测井,建立了两者与有机碳质量分数之间的线性关系式。根据实测值与拟合值的比较,认为建立的定量预测模型拟合效果良好。
Hydrocarbon source rock strata usually have the log characteristics of high interval transit time, porosity, resistivity and low density. Under normal circumstances, the higher the organic carbon content of hydrocarbon source rocks is, the stronger the abnormal response of logging is. A quantitative relation model is established between logging information and organic carbon content, which can calculate the continuous response value of organic carbon content of hydrocarbon source rocks in vertical direction to effectively compensate for the shortage of test sample. Domestic and foreign scholars conduct relevant discussion and research on this. The prediction models proposed can be summed up as single parameter and multiparameter model. According to the practical geological data of Tuha Basin and based on combination of Δlg R method and multivariate statistical principle, this paper selects the interval transit time and resistivity logging and establishes a linear equation. Finally, according to the comparisons between the measured values and matched values, the matching effect of quantitative prediction model is considered to be good.
烃源岩; 有机碳质量分数; 测井响应; 定量预测; 吐哈盆地;
source rocks; organic carbon content; logging response; quantitative prediction; Tuha Basin;
10.6056/dkyqt201203032