二维地震属性标准化处理及应用——以鄂尔多斯盆地刘峁塬地区长8_1段为例  

Processing and Applications of standardization of 2-D seismic attributes——Chang 8_1 formation of Liumaoyuan area of Ordos basin as a example

作　　者：李丙喜[1] 李书恒[2] 王永红[2] 胡玉所 高世臣[3] 

机构地区：[1]中国矿业大学(北京)资源与安全工程学院,北京100083 [2]中国石油长庆油田分公司,西安710021 [3]中国地质大学(北京)数理学院,北京100083

出　　处：《地球物理学进展》2014年第4期1672-1677,共6页Progress in Geophysics

基　　金：国家自然科学基金资助项目(11202192)资助

摘　　要：为解决跨度时间较长二维地震测线提取属性差异较大的问题,提出了以测线交点信息为约束,结合模拟退火算法调整优化参数对地震属性标准化处理的新方法,以解决二维地震资料不同测线地震属性一致性较差的问题.标准化处理后的震属性与储层具有很好的相关性.采用模糊神经网络方法对研究区长81段砂岩厚度进行了地震属性定量预测,表明标准化后的二维地震信息的融入能够有效的提高储层预测的精度.A method based on simulate anneal algorithm is proposed to eliminate the variances among 2-D seismic attributes,which is carried out by a optimized process for the computing parameters in intersection points between seismic lines.A case study from Liumaoyuan area of Ordos Basin shows that the method can improve consistency of 2-D seismic Attributes,and increase the correlation between reservoir thickness and 2-D seismic Attributes.Fuzzy neural network is adopted to estimate the sandstone thickness of Chang 81 formation,as a result that integration of 2-D seismic improves the accuracy of reservoir estimation prediction effectively.

关 键 词：标准化 二维地震 模糊神经网络 储层预测 

分 类 号：P631[天文地球—地质矿产勘探]