摘要
以泌阳凹陷核桃园组三段主力页岩层为研究对象,利用改进的Δlog R法、CARBOLOG法和多元回归分析法进行有机碳含量预测,将预测结果与有限的岩心分析资料对比。结果表明,多元回归分析法的预测精度和适用性均优于改进的Δlog R法和CARBOLOG法。多元回归分析法一方面增加了可用测井参数种类,即通过综合考虑多种测井参数后可优选出更能反映有机碳含量变化的测井参数;另一方面可以规避某些受特殊矿物影响的测井参数,当泥页岩中黄铁矿含量较高时往往会导致电阻率减小、密度增大,进而削弱这些测井曲线对有机质的响应程度,以增强预测结果的客观性和可靠性。
Taking the shale layer of the third member of Hetaoyuan formation in Biyang sag of Nanxiang basin as an example, the organic carbon contents from 5 wells were predicted by means of improved methods of AlogR, CARBOLOG and multivariate regression analysis, and then the predicted results were compared with the limited core analysis data. The results show that the multivariate regression analysis is the best among these three methods in predicting accuracy and applicability, by which the well logs or related categories that well reflect the variation of organic carbon content can be selected, such as neutron log, etc., also, some log data that are influenced by special minerals can he avoided for the reason that high content of pyrite in shale may lead to lower resistivity and higher density, which may weaken the re- sponses to the organic matter for these logs, hence increasing the objectivity and reliability of the predicted results.
出处
《新疆石油地质》
CAS
CSCD
北大核心
2016年第1期102-106,共5页
Xinjiang Petroleum Geology
基金
国家科技重大专项(2011ZX05025-002-02)
关键词
南襄盆地
泌阳凹陷
核桃园组
测井曲线
多元回归分析
有机碳含量
Nanxiang basin
Biyang sag
Hetaoyuan formation
well log curve
multivariate regression analysis
organic carbon content
