石油学报 ›› 2002, Vol. 23 ›› Issue (4): 33-36.DOI: 10.7623/syxb200204007

• 地质勘探 • 上一篇    下一篇

利用Stratimagic波形研究冀中探区大王庄地区岩性油藏

赵力民1, 彭苏萍1, 郎晓玲2, 赵太良2   

  1. 1. 中国矿业大学, 北京, 100083;
    2. 华北油田公司勘探开发研究院, 河北任丘, 062552
  • 收稿日期:2001-03-31 修回日期:2001-09-14 出版日期:2002-07-25 发布日期:2010-05-21
  • 作者简介:赵力民,男,1961年11月生,1995年毕业于石油大学(北京),获硕士学位,现为华北油田公司勘探开发研究院高级工程师,中国矿业大学(北京)在读博士研究生,主要研究方向为石油地质及地球物理勘探.
  • 基金资助:
    国家自然科学基金项目(40172059)资助.

Application of stratimagic waveform classification technique to the research of lithologic oil reservoir in Dawangzhuang area

ZHAO Li-min1   

  1. China University of Mining and Technology, Beijing 100083, China
  • Received:2001-03-31 Revised:2001-09-14 Online:2002-07-25 Published:2010-05-21

摘要: Stratimagic波形分类方法充分利用了地震资料信息丰富的特点,采用神经网络算法对地震道形状即波形特征,对某一层间内容的实际地震数据道进行逐道对比分类,细致刻画地震信号的横向变化,从而得到与地质相对应的地震相图,并以此用于储层砂体及岩性油藏的预测。以在生产应用中取得明显效果的大王庄岩性油藏为例,介绍了Stratimagic波形分类技术在该区东营组岩性油藏勘探中的具体应用方法。用预测结果提供了3口井位目标,经钻探实施后均获商业性油流,新发现了千万吨级储量规模的岩性油藏。

关键词: 波形分类法, 神经网络算法, 砂岩体, 岩性油藏, 冀中探区

Abstract: The stratimagic waveform classification method has been used to study the transverse changes of seismic information.The forms of seismic trace can be correlatived and classified by the neural network algorithm,and the horizontal changes of seismic signals may be described,and then the map of the seismic facies matching to geological facies can be obtained.This method can be used to predict the distribution of reservoir sand body and lithologic oil reservoir. The application of this method in Dawangzhuang area of Jizhong depression shows a good result.The locations of three wells has been provided by using the predicted results of this method.The wells has produced oil successfully.A lithologic oil reservoir with a reserve of ten thousand tons has been found in this area.

Key words: waveform classification, neural network algorithm, sand body, lithologic oil reservoir

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