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井震结合统计学反演方法在薄层砂体预测中的应用 被引量:4

Application of method combining of well earthquake with statistical inversion in thin sand body prediction
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摘要 为进一步提高薄储层的描述精度,以松辽盆地北北二区块为研究对象,开展井震结合统计学反演的薄储层预测方法研究,通过对该反演方法流程关键环节的处理和质控,实现陆相储层的精细预测。研究发现:基于标准层和标准井的直方图标准化处理,消除了测井时间、随机干扰等误差的影响;通过上下调整对应关系实现井震精细标定,井震相关性达80%以上;在薄层砂及砂泥薄互层较发育的地区进行储层预测时,以0.25 ms采样间隔可以有效提高薄互层的预测精度。井震结合统计学反演方法针对2.0 m以上砂体预测符合率到达85%以上. This paper is aimed at a further improvement in the description accuracy of thin reservoir.The study drawing on the case of Beibei No.2 Block of Songliao Basin involves performing the research on thin reservoir prediction method building on the combination of well earthquake and statistical inversion;and realizing the fine prediction of continental reservoir through the processing and quality control of the key links in the inversion process.The results show that:the histogram standardization processing of standard layer and standard well enables the elimination of the influence of logging time,random interference,and other errors;the up and down adjustment of the corresponding relationship leads to the fine calibration of well earthquake,allowing the well seismic correlation to be more than 80%;and when it comes to the reservoir prediction in the area with relatively developed thin sand and sand mud thin interbeds,the 0.25 ms sampling interval allows an effective improvement in the prediction accuracy of thin interbeds.The combination of well earthquake and statistical inversion allows the prediction coincidence rate of sand body above 2.0 m to be over 85%.
作者 那晓勋 Na Xiaoxun(514 Geological Brigade, North China Geological Survey Bureau, Chengde 067000, China)
出处 《黑龙江科技大学学报》 CAS 2020年第5期572-576,共5页 Journal of Heilongjiang University of Science And Technology
基金 国家自然科学基金项目(51974247)。
关键词 陆相沉积 储层描述 统计学反演 框架模型 continental sedimentation reservoir description geostatistical inversion framework model
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