岩性油气藏 ›› 2019, Vol. 31 ›› Issue (6): 95–101.doi: 10.12108/yxyqc.20190610

• 勘探技术 • 上一篇    下一篇

一套针对高泥质疏松砂岩薄储层的识别技术——以珠江口盆地X油田为例

罗泽, 谢明英, 涂志勇, 卫喜辉, 陈一鸣   

  1. 中海石油(中国)有限公司深圳分公司 研究院, 广东 深圳 518000
  • 收稿日期:2019-05-20 修回日期:2019-08-20 出版日期:2019-11-21 发布日期:2019-09-28
  • 第一作者:罗泽(1985-),男,硕士,工程师,主要从事地震地质综合解释及储层预测等研究工作。地址:(518000)广东省深圳市南山区后海滨路(深圳湾段)3168号中海油大厦。Email:luoze@cnooc.com.cn。
  • 基金资助:
    中海石油（中国）有限公司综合科研项目"恩平18区疏松砂岩稠油油藏有效开发技术"（编号：YXKY-2019-SZ-01）资助

A set of recognition techniques for thin reservoirs with unconsolidated high-argillaceous sandstone: a case study from X oilfield in Pearl River Mouth Basin

LUO Ze, XIE Mingying, TU Zhiyong, WEI Xihui, CHEN Yiming   

  1. Research Institute, Shenzhen Branch of CNOOC Ltd., Shenzhen 518000, Guangdong, China
  • Received:2019-05-20 Revised:2019-08-20 Online:2019-11-21 Published:2019-09-28

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摘要： 针对珠江口盆地X油田韩江组高泥质疏松砂岩段扩径严重引起测井曲线质量差、波阻抗属性叠置严重、储层薄且非均质性强等难题，形成的薄储层精细表征技术概括为"三步法"：①遗传化神经网络技术重构能得到反映真实地层特征的弹性曲线，进而解决在疏松砂岩井段因扩径严重导致测井曲线失真的问题；②针对高泥质疏松砂岩薄储层识别难的问题，新构建DVT敏感特征参数来区分砂岩与泥岩；③利用波形指示高分辨率反演方法预测高泥质疏松薄砂岩储层的空间展布。实际应用表明：该技术在X油田注水收效、调整井优化实施和开发调整方案井网设计等方面取得了较好的应用效果，解决了该油田3~5 m薄层精确描述的难题，形成了一套完整的针对高泥质疏松砂岩薄储层预测的技术流程。该技术对同类油藏表征和油田高效开发具有参考意义。

关键词: 高泥质疏松砂岩, 神经网络, 波形指示反演, 薄储层预测, 韩江组, 珠江口盆地

Abstract: Aiming at the problems of poor quality of logging curves,serious overlapping of wave impedance attributes,thin reservoir and strong heterogeneity caused by serious expansion of unconsolidated high-argillaceous sandstone of Hanjiang Formation in X oilfield,Pearl River Mouth Basin,a fine characterization technology for thin reservoir was formed,which is summarized as "three-step method".(1)The elastic curve reflecting real formation characteristics can be obtained by reconstructing logging curves with genetic neural network technology,and then the problem of poor quality of logging curves caused by the serious expansion of unconsolidated sandstone can be solved.(2)A new sensitive characteristic parameter DVT for the identification of thin reservoirs with unconsolidated high-argillaceous sandstone was constructed to distinguish sandstone from mudstone.(3)High resolution inversion method with waveform indication was used to predict the spatial distribution of thin reservoirs with unconsolidated high-argillaceous sandstone. Practical application shows that this technology achieved good application results in water injection efficiency,optimization implementation of adjustment wells and well pattern design of development adjustment scheme in X oilfield. A complete set of technical process has been formed for the prediction of thin reservoir with unconsolidated high-argillaceous sandstone,which solves the difficulty of accurate description of 3-5 m thin reservoir in the oilfield. This technology has reference significance for the characterization of similar reservoirs and the efficient development of oilfields.

Key words: unconsolidated high-argillaceous sandstone, neural network, waveform indication inversion, thin reservoir prediction, Hanjiang Formation, Pearl River Mouth Basin

中图分类号: 

  • TE122.2
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