中文摘要：

致密油勘探初期存在烃源岩取心少、实测样品分布不连续等问题;利用测井资料可定量评价烃源岩.烃源岩富含有机质,在测井曲线上常以高伽马、低密度、高声波时差、高电阻率、高中子孔隙度等特征呈现.论文系统介绍了ΔLogR法和多元回归法两种基于测井资料的烃源岩定量评价方法,并建立了相应的预测模型.通过建立的模型对鄂尔多斯盆地姬塬地区延长组长7段烃源岩有机碳含量进行预测,并对计算出的TOC数据（TOC_（计算））与实测TOC数据（TOC_（实测））进行了对比和分析.研究结果表明,研究区ΔLogR法与多元回归法中的双参数模型为较好的预测方法,且ΔLogR法预测结果明显优于多元回归法,优选ΔLogR法为最佳评价方法;并对出现这种情况的原因进行了分析.

英文摘要：

Tight oil exploration in early stage has characteristics of few source rock cores and measured samples ＇ distribution not continuous. we can evaluate source rocks using logging data. Source rocks are rich in organic matter and have characteristics of high gamma,low density,high acousti travel ctime,high resistivity,high neutron porosity. System introduced ΔLogR and multiple regression source rocks quantitative evaluation method based on logging data and established the corresponding prediction models.We calculated source rock organic carbon content in Chang 7 Member of Yanchang Formation in Jiyuan area, compared and analyzed calculated TOC and measured TOC data. The results show that ΔLogR and two-parameter model of multiple regression method are better prediction methods,but ΔLogR method was superior to multiple regression method in prediction results,so ΔLogR method is the best evaluation method. The reason for this situation has been analyzed.