分频段地震属性优选及砂体预测方法——秦皇岛32-6油田北区实例

发布时间：2018-02-15 09:42

本文关键词： 小波分频分频数据体融合属性优选调谐厚度砂体预测　出处：《石油地球物理勘探》2017年01期 　论文类型：期刊论文

【摘要】：以秦皇岛32-6油田新近系明化镇组下段为研究对象,综合测井与地震资料,针对薄层砂体与厚层砂体不同的地震属性响应特征,采用了"先优选地震资料频段,再提取并优选地震属性"的方法进行砂体预测。针对NmⅠ-1小层薄层砂体,提取了高频信号的地震属性,针对NmⅠ-3小层厚层砂体,提取了低频信号的地震属性;进而对提取的地震属性进行优选,并结合测井解释,在沉积模式的指导下预测了砂体及沉积相的展布。研究结果表明:该方法有效降低了调谐厚度以及地震数据中的低频信号对砂体预测的限制,明显提高了地震属性与砂体厚度的相关性,从而提高了砂体及沉积相的预测精度,对地震资料品质较好地区的储层预测具有一定的指导意义。
[Abstract]:32-6 in Qinhuangdao oilfield of Minghuazhen Formation of Neogene section as the research object, comprehensive logging and seismic data, the thin sand and thick sand bodies of different characteristics of seismic response, the first selection of seismic frequency, extraction and optimization of seismic attributes and methods "in the prediction of sand body in Nm. I -1 a small thin sand layer, the seismic attribute extraction of high frequency signal, the Nm I -3 small thick sand layer, the seismic attribute extraction of low frequency signal; and then optimize the extraction of seismic attributes, and combined with the logging interpretation, based on sedimentary model to predict the distribution of sand bodies and sedimentary facies. The results show that the method can effectively reduce the tuning thickness and seismic data in the low-frequency signal of sand body prediction limits, significantly improves the correlation between seismic attributes and thickness of sand body, so as to improve the prediction accuracy of sand body and sedimentary facies, the The reservoir prediction in the area with good seismic data quality is of certain guiding significance.

【作者单位】：中国石油大学(北京)地球科学学院;油气资源与探测国家重点实验室;中海油研究总院;贵州省非常规油气资源工程技术研究中心;
【基金】：国家自然科学基金青年科学基金项目(40902035) 教育部博士点新教师基金项目(20090007120003) 国家科技重大专项(2011ZX05024-001-04)联合资助
【分类号】：P631.4;P631.81

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