新疆石油地质 ›› 2005, Vol. 26 ›› Issue (1): 17-20.

• 油气勘探 • 上一篇    下一篇

柴西生物礁储集层的测井响应特征与最优判别

温志峰1, 钟建华1,2, 王芳3, 李勇1, 王海侨1, 高剑波1   

  1. 1.石油大学 地球资源与信息学院,山东 东营 257061;
    2.中国科学院 广州地球化学研究所,广州 510640
  • 收稿日期:2004-04-09 出版日期:2005-02-01 发布日期:2020-08-24
  • 作者简介:温志峰(1974-),男,山东东营人,在读博士研究生,矿床学, (Tel )0546- -8391902.
  • 基金资助:
    国家自然科学基金资助项目(40172073)、教育部博士点基金项目(20030425008)。

Optimal Discrimination and Well Log Response of Biohermal Reservoir in W estern Qaidam Basin

WEN Zhi-feng1, ZHONG Jian-hual1,2, WANG Fang3, LI Yong1, WANG Hai-qiao1, GAO Jian-bo1   

  1. 1. Institute of Resources and Information, University of Petroleum, Dongying, Shandong 257061, China;
    2. Guangzhou Institute of Geochemistry, CAS, Guangzhou,Guangdong 510640, China;
    3. Interpretation Center of Well Log Company, Shengli Oilfield Company Ltd, Sinopec, Dongying, Shandong 257061, China
  • Received:2004-04-09 Online:2005-02-01 Published:2020-08-24

摘要: 柴西地区发育了储集物性极好、广泛分布、油气储量较高的生物礁储集层。该区生物礁主要包括藻礁、叠层石和凝块石礁。但湖相生物礁在柴西地区分布不均,变化很大,难以用传统的方法进行勘探和开发。利用岩心和测井数据总结了生物礁各种类型的测井响应,提出了适合柴西地区生物礁储集层的测井曲线特征。对生物礁储集层的测数据总结了生物礁各种类型的测井响应,提出了适合柴西地区生物礁储集层的测井曲线特征。对生物礁储集层的测井曲线进行数字化处理,并利用最优分割、聚类和逐步判别等方法,判定了各种生物礁类型的最佳判别函数,并将结果应用到测井解释中,从而为油田的勘探和开发提供了参考。

关键词: 柴达木盆地, 生物礁, 储集层, 测井响应, 判别

Abstract: The biohermal reservoirs with superior quality, wide distribution and higher reserves have been discovered in recent years in westermn Qaidam basin, mainly including algal reefs, stromatolites and thrombolites, based on field survey and classifications at home and abroad. Some lacustrine bioherms are also found, but not even in distribution and varied in thickness, hence hard to be explored and developed with traditional ways. This paper reviews the log responses of various types of bioherms using core and well log data, and proposes the features of logs suitable for these biohermal reservoirs. Also, fllowing the digital processing of these logs, the optimal discrimination functions for determination of different types of bioherm reservoirs are presented by means of optimal partition, cluster and regression methods. The results can be applied to the well log interpretations in order to achieve hghe-ficient and proper exploration and development of the reservoirs in Qaidam basin.

Key words: Qaidam basin, bioherm, reservoir, log response, discrimination

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