天然气地球科学

• 天然气勘探 • 上一篇    

鄂尔多斯盆地延长组烃源岩有机碳含量测井预测方法优选及应用

贺聪,苏奥,张明震,吴远东,吉利明   

  1. 1.甘肃省油气资源研究重点实验室/中国科学院油气资源研究重点实验室,甘肃 兰州 730000;
    2.中国科学院大学,北京 100049;3.中国石油东方地球物理公司研究院,河北 涿州 072750
  • 收稿日期:2015-09-04 修回日期:2015-10-28 出版日期:2016-04-10 发布日期:2016-04-10
  • 通讯作者: 吉利明(1963-),男,陕西咸阳人,研究员,博士,主要从事油气地质与地球化学研究. E-mail:jilimin@lzb.ac.cn
  • 作者简介:贺聪(1988-),男,湖南湘潭人,博士研究生,主要从事油气地质与地球化学研究. E-mail:hecong2007.ok@163.com.
  • 基金资助:

    中国科学院战略性先导科技专项(编号:XDB10010103);国家自然科学基金课题(编号:41172131);甘肃省重点实验室专项(编号:1309RTSA041)联合资助.


Optimal selection and application of prediction means for organic carbon content of source rocks based on logging data in Yanchang Formation,Ordos Basin

He Cong, So Ao, Zhang Ming-zhen, Wu Yuan-dong, Ji Li-ming   

  1. (1.Key Laboratory of Petroleum Resources of Gansu Province/Key Laboratory of Petroleum Resources
    Research of Chinese Academy of Sciences,Lanzhou 730000,China;
    2.University of Chinese Academy of Sciences,Beijing 100049,China;
    3.Geophysical Research Institute,BGP,CNPC,Zhuozhou 072750,China)
  • Received:2015-09-04 Revised:2015-10-28 Online:2016-04-10 Published:2016-04-10

摘要:

尽管通过测井数据预测烃源岩有机碳含量(TOC)具有经济快速的明显优势,但由于不同地区及地层的特殊性,其预测误差限制了该方法的广泛应用。利用前人提出的预测烃源岩TOC含量的自然伽马测井法、体积密度测井法、多元回归分析法和BP神经网络模型,结合鄂尔多斯盆地延长组的地质特征建立了研究区TOC含量预测的经验公式和模型。优选认为BP模型为延长组TOC含量预测精度最高的方法,并将其应用于盆地南部YK1井延长组,得到9 220个样点的TOC值,辨识出4段连续厚度大于10m的有效烃源岩,分别位于长19段、长37段、长27段和长17段,并且长27—长37段为TOC含量最高的优质层段。研究发现,这些有效烃源岩层段均不同程度地发育油页岩,并且同一层段TOC含量预测值在不同地区的钻井中可能出现明显的差异,这与延长组不同沉积时期古湖泊沉积相的分布和差异相一致。


 

关键词: 烃源岩, 有机碳含量, 测井预测, 延长组, 鄂尔多斯盆地

Abstract:

Although the prediction of total organic carbon content (TOC) of hydrocarbon source rocks with well logging data has obvious advantages,due to special characteristics of different regions and strata,the prediction error has limited the wide application of this method.According to the previous prediction means for hydrocarbon source rock TOCcontent of natural gamma ray logging,bulk density log,multiple regression analysis and BP neural network model,combined with the geological characteristics of Yanchang Formation in Ordos Basin,the empirical formulas and models of TOC content prediction for the study area were established.BP model is considered as the best method to predict the TOC content in the study area.According to the application of BP model  in Well YK1 in southern Ordos Basin,the TOC value of 9 220 sample points were obtained,effective source rocks of 4 segments located at Chang19,Chang37,Chang27 and Chang17,respectively were recognized,and Chang27-Chang37 is the best segment with highest TOC content.These effective hydrocarbon source rocks developed oil shales in different degrees,and the predicted TOC content value in the same stratum from different wells in different regions may be significantly different,which is consistent with the distribution of the sedimentary facies of the ancient lake during different depositional stages of Yanchang Formation.

Key words: Hydrocarbon source rocks, Organic carbon content, Prediction by well-logging data, Yanchang Formation, Ordos Basin

中图分类号: 

  • TE122.1
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