AVO属性分析在储层厚度预测中的应用
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摘要
AVO属性异常与油气之间存在关系,不同的属性具有不同的物理和地质意义。进行属性分析并研究其与储层参数(含气饱和度、有效厚度、孔隙度等)之间的关系,有助于更好地应用AVO技术对研究区进行含气性预测。从叠前地震CRP道集出发,在对数据处理后得到角度道集并进行AVO反演,提取了多种AVO属性,然后进行属性分析,优选对含气性敏感的属性参数,建立起属性组合与已知井点测井解释厚度值之间的关系,最后运用地质统计学的方法对目的层含气有效厚度进行平面预测。
A correlation exists between AVO attribute abnormity and oil and gas. Different attributes are of different physical and geological significances. An analysis of attribute and its relation with reservoir parameters (gas saturation, effective thickness and porosity) is conducive to predicting gas-bearing properties using AVO technology. Based on prestack seismic CRP trace gather, angle gather is obtained after data processing, and AVO inversion is conducted. Various AVO attributes are extracted and analyzed. Optimizing attribute parameters which are sensitive to gas-bearing properties, this paper establishes a correlation between attribute combination and thickness value from well-logging interpretation of the known wells. Finally, planar prediction is carried on by geologic statistics for effective gas-bearing thickness of target layer.
A correlation exists between AVO attribute abnormity and oil and gas. Different attributes are of different physical and geological significances. An analysis of attribute and its relation with reservoir parameters (gas saturation, effective thickness and porosity) is conducive to predicting gas-bearing properties using AVO technology. Based on prestack seismic CRP trace gather, angle gather is obtained after data processing, and AVO inversion is conducted. Various AVO attributes are extracted and analyzed. Optimizing attribute parameters which are sensitive to gas-bearing properties, this paper establishes a correlation between attribute combination and thickness value from well-logging interpretation of the known wells. Finally, planar prediction is carried on by geologic statistics for effective gas-bearing thickness of target layer.
引文
[1]侯伯刚.AVO处理解释技术研究及应用[D].北京:中国地质大学,2005.
[2]潘仁芳.AVO的内涵与外延[J].石油天然气学报,2006,28(2):50-55.
[3]殷八斤,曾灏,杨在岩.AVO技术的理论与实践[M].北京:石油工业出版社,1995.
[4]杨立伟.AVO属性分析[D].黑龙江:大庆石油学院,2007.
[5]姜秀清.储层地震属性优化及属性体综合解释[D].北京:中国科学院研究生院,2006.
[6]侯伯刚,杨池银,武站国,等.地震属性及其在储层预测中的影响因素[J].石油地球物理勘探,2004,39(5):553-558.
[7]陈冬.地震多属性分析及其在储层预测中的应用研究[D].北京:中国地质大学,2008.
[8]李黎,王永刚.地质统计学应用综述[J].勘探地球物理进展,2006,29(3):163-169.
[9]林煜,郁智,徐樟有,等.应用地震多属性反演与随机模拟技术预测砂体展布[J].科技导报,2011,29(10):45-48.
[2]潘仁芳.AVO的内涵与外延[J].石油天然气学报,2006,28(2):50-55.
[3]殷八斤,曾灏,杨在岩.AVO技术的理论与实践[M].北京:石油工业出版社,1995.
[4]杨立伟.AVO属性分析[D].黑龙江:大庆石油学院,2007.
[5]姜秀清.储层地震属性优化及属性体综合解释[D].北京:中国科学院研究生院,2006.
[6]侯伯刚,杨池银,武站国,等.地震属性及其在储层预测中的影响因素[J].石油地球物理勘探,2004,39(5):553-558.
[7]陈冬.地震多属性分析及其在储层预测中的应用研究[D].北京:中国地质大学,2008.
[8]李黎,王永刚.地质统计学应用综述[J].勘探地球物理进展,2006,29(3):163-169.
[9]林煜,郁智,徐樟有,等.应用地震多属性反演与随机模拟技术预测砂体展布[J].科技导报,2011,29(10):45-48.
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