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地震纹理分析在油气勘探中应用进展

THE RESEARCH PROGRESS OF SEISMIC TEXTURE ANALYSIS ATTRIBUTE IN OIL AND GAS EXPLORATION

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【作者】 张鹏志李兰斌

【Author】 ZHANG Peng-zhi,LI Lan-bin(Faculty of Earth Resources,China University of Geosciences,Wuhan 430074,China)

【机构】 中国地质大学资源学院

【摘要】 将图像处理技术中的纹理分析理念运用到地震油气勘探中,一方面丰富了纹理分析的内容,另一方面也为地震油气勘探提供了新思路。文章在收集、整理相关文献的基础上,从以下三个方面分析、归纳了地震纹理分析技术的发展现状:①就地震纹理分析的发展历程而言,发展较早但实际应用较晚,尤其在国内;②就地震纹理分析的算法而言,目前应用比较广泛的算法有两种,分别是:灰度共生矩阵(GLCM)和纹理模型回归分析(TMR);③就地震纹理在油气勘探的应用而言,主要表现在地震构造解释、地震相分类、储层特征研究及预测三个方面。最后从发展趋势上得出结论:随着地震纹理分析算法的不断发展,该技术在油气勘探领域的应用将进一步扩展,不仅表现在碎屑岩油气,而且在碳酸盐岩甚至非常规油气中都将得到应用。因此发展前景十分广阔。

【Abstract】 Applying the concept of texture analysis in image processing technology to seismic oil and gas exploration,on the one hand,enrich the content of texture analysis,on the other hand,provide a new approach for seismic oil and gas exploration.On the basis of collecting and organizing the relevant literature,this paper summarizes the progress of seismic texture analysis in the following three aspects: ① In terms of the development of the seismic texture analysis,it developed earlier but the application is a little late,especially in the domestic;② In terms of the algorithm of seismic texture analysis,there are two methods being widely used: the gray level co-occurrence matrix(GLCM) and the texture model regression analysis(TMR);③ In terms of the application of seismic texture analysis in oil and gas exploration,it is mainly introduced in seismic structural interpretation,seismic facies classification,and prediction of reservoir characteristics.Finally,the author draws the conclusions from the trend of development: with the continuous development of the seismic texture analysis algorithm,the application of the technology will be further expanded in the field of hydrocarbon exploration.Not only in clastic rocks,but also in carbonate rocks and even unconventional oil and gas will be applied.Therefore,it has a very broad development prospects.

  • 【文献出处】 物探与化探 ,Geophysical and Geochemical Exploration , 编辑部邮箱 ,2013年03期
  • 【分类号】P631.4;P618.13
  • 【被引频次】3
  • 【下载频次】177
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