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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.
In the early stage of tight oil exploration, there are few problems such as less coring of source rock and discontinuity of measured sample distribution, etc. The source rocks can be quantitatively evaluated by logging data.The source rocks are rich in organic matter, Density, high acoustic wave time difference, high resistivity, high neutron porosity, etc. The quantitative evaluation method of source rock based on logging data and ΔLogR method and multiple regression method are introduced in this paper, and corresponding prediction models are established. The organic carbon content in the source rocks of the Chang 7 member of Yanchang Formation in the Jiyuan area, Ordos Basin, was predicted by the established model. The calculated TOC data (TOC_ (calculated)) and the measured TOC data (TOC_ (measured)) were compared And analysis.The results show that the two-parameter model of ΔLogR method and multivariate regression method in the study area is a better prediction method, and the prediction result of ΔLogR method is better than multivariate regression method, and ΔLogR method is the best evaluation method; The reason why this happens is analyzed.