摘要
为了更精细地刻画裂缝,提出一种基于高频恢复和多尺度分解的裂缝分析方法:首先拓宽三维地震资料的频带;然后对地震道进行多尺度分解,在不同尺度的地震数据体上分别提取相干和曲率属性;最后分尺度分析目标层的裂缝分布特征.某页岩气探区三维地震资料裂缝预测结果表明,该方法可有效恢复地震资料的高频信息,提高相干和曲率属性预测裂缝的精度.根据分解得到的对应于小尺度的地震数据体,能够预测更小尺度的裂缝发育行为.
For describing fracture more delicately,an novel method based on high frequency restoration and multi-scale decomposition is proposed.Wideband data is first obtained by high frequency restoration algorithm,and traces are decomposed to different scales,then coherence and curvature attributes are implemented on multi-scale data volumes for analyzing the faults and fracture zones along the objective interval.This method was applied to the 3Dreal data of a shale gas exploration area,and the results showed that the high frequency information had been effectively recovered and the accuracy for fracture interpretation by coherence and curvature had been improved.For the decomposed volumes according to small scales,fracture behaviors at more small scales could be predicted.
出处
《东北石油大学学报》
CAS
北大核心
2014年第3期49-56,8,共8页
Journal of Northeast Petroleum University
基金
国家重点基础研究发展计划(973计划)项目(2013CB228601)
关键词
裂缝分析
高频恢复
多尺度分解
地震
相干属性
曲率属性
fracture analysis
high frequency restoration
multi-scale decomposition
seismic
coherence attribute
curvature attribute