应用地震数据体结构特征法预测孔缝洞型油气储层
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摘要
应用地震数据体结构特征法预测油气是一项新的油气预测技术,它以每个地震道的地震数据元素之间的相互关系(即数据体结构特征)为研究对象,通过提取每一地震道的振幅数值等参数,研究各种参数的组合、排列特征及其与含油气性的关系,达到预测油气层的目的。该方法克服了一些传统的油气预测方法受不同储集空间复杂性的影响,能在非均质性强的复杂储层预测中取得较好效果。本文分别选取了孔隙型、裂缝型和缝洞型等三种不同储集空间类型的非均质性强的碳酸盐岩储层实例,应用地震数据体结构特征法进行了含油气性预测。应用结果表明,当地层中含有油气时,地震数据体结构特征会出现明显的异常特征,进而圈定油气藏边界。实例中本方法预测结果与后期实钻结果对比,符合率较高。
Using structural feature of seismic data volume to predict hydrocarbon is a new hydrocarbon prediction technique, which takes relationship between seismic data components on each seismic trace as a studied object (that is structural feature of data volume) to study the feature of composition and range of various parameters and their relationship with hydrocarbon-bearing ability by detecting the amplitude value of each seismic trace, achieving the goal predicting the hydrocarbon reservoir. The method overcame the influence of complexity of different reserving spaces in some traditional hydrocarbon prediction methods and can get better results in the prediction of strongly non-homogeneous complex reservoir. The cases of carbonate reservoir with strong non-homogeneity the paper selected are three kinds of different reserve space types: porous, fractural and cavernous type, for which we used structural feature of seismic data volume to predict hydrocarbon-bearing ability. The applied results showed that the structural feature of seismic data volume will appear clearly anomalous feature when the stratum is hydrocarbon-bearing stratum, the reservoir boundary can be further defined. In those cases, the results predicted by the method are better coincident to latter drilled results.
Using structural feature of seismic data volume to predict hydrocarbon is a new hydrocarbon prediction technique, which takes relationship between seismic data components on each seismic trace as a studied object (that is structural feature of data volume) to study the feature of composition and range of various parameters and their relationship with hydrocarbon-bearing ability by detecting the amplitude value of each seismic trace, achieving the goal predicting the hydrocarbon reservoir. The method overcame the influence of complexity of different reserving spaces in some traditional hydrocarbon prediction methods and can get better results in the prediction of strongly non-homogeneous complex reservoir. The cases of carbonate reservoir with strong non-homogeneity the paper selected are three kinds of different reserve space types: porous, fractural and cavernous type, for which we used structural feature of seismic data volume to predict hydrocarbon-bearing ability. The applied results showed that the structural feature of seismic data volume will appear clearly anomalous feature when the stratum is hydrocarbon-bearing stratum, the reservoir boundary can be further defined. In those cases, the results predicted by the method are better coincident to latter drilled results.
引文
[1]Lin Changrong,Wang Shangxu and Zhang Yong.Predicting the distribution of reservoirs by applying the method of seismic data structure characteristics:Example fromthe eighth zone in Tahe Oilfield.Ap-plied Geophysics,2006,3(4):234~242
[2]Lin Changrong.Application of grey systemtheory to gas pool prediction of3D seismic data prior to drill-ing,1999,SPE54274
[3]Wang Shangxu,Lin Changrong.The analysis of seis-mic data structure and oil and gas prediction.Ap-plied Geophysics,2004,1(2):75~82
[4]林昌荣,王尚旭.川东北地区飞仙关组地震反射结构特征及地震相分析.油气田地面工程,2007,(4)
[5]林昌荣,王尚旭,马在田等.地震数据体结构特征时空关系与油气预测.石油勘探与开发,2008,(4)
[6]林昌荣,王尚旭,张骥东.储层物性参数预测技术在大牛地气田开发中的应用.天然气工业,2007,27(增刊B):44~47
[7]林昌荣,孙立春,崇仁杰.地震数据结构特征与油气预测.中国海上油气预测,2000,14(6):417~421
[8]刘雯林.油气田开发地震技术.北京:石油工业出版社,1996
[9]邓聚龙等.灰色系统研究新进展.湖北武汉:华中理工大学出版社,1996
[10]邓聚龙.灰色系统基本方法.湖北武汉:华中理工大学出版社,1987
[11]Stockwell J W,Cohen J K著;张绍红,林昌荣译.地震数据处理系统——SU3.3处理操作系统指南.北京:石油工业出版社,2007
[2]Lin Changrong.Application of grey systemtheory to gas pool prediction of3D seismic data prior to drill-ing,1999,SPE54274
[3]Wang Shangxu,Lin Changrong.The analysis of seis-mic data structure and oil and gas prediction.Ap-plied Geophysics,2004,1(2):75~82
[4]林昌荣,王尚旭.川东北地区飞仙关组地震反射结构特征及地震相分析.油气田地面工程,2007,(4)
[5]林昌荣,王尚旭,马在田等.地震数据体结构特征时空关系与油气预测.石油勘探与开发,2008,(4)
[6]林昌荣,王尚旭,张骥东.储层物性参数预测技术在大牛地气田开发中的应用.天然气工业,2007,27(增刊B):44~47
[7]林昌荣,孙立春,崇仁杰.地震数据结构特征与油气预测.中国海上油气预测,2000,14(6):417~421
[8]刘雯林.油气田开发地震技术.北京:石油工业出版社,1996
[9]邓聚龙等.灰色系统研究新进展.湖北武汉:华中理工大学出版社,1996
[10]邓聚龙.灰色系统基本方法.湖北武汉:华中理工大学出版社,1987
[11]Stockwell J W,Cohen J K著;张绍红,林昌荣译.地震数据处理系统——SU3.3处理操作系统指南.北京:石油工业出版社,2007
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