中南大学学报（自然科学版）2012，Vol.43Issue(8)：3114-3120,7.
自适应最优核时频分布在地震储层预测中的应用
Application of adaptive optimal kernel time-frequency representation in reservoir prediction
摘要
Abstract
To improve resolution is the key point of spectral imaging. Adaptive optimal kernel time-frequency representation used a kernel function which can change adaptively with signal characteristics to weight the ambiguity function. The cross-components located away from the origin of the ambiguity plane are suppressed, and the auto-components centered at the origin are passed. Adaptive optimal kernel time-frequency representation decreases the impact of cross terms obviously and obtains a better time-frequency resolution tban the methods as CWT and SPWVD, which is proved by the model data. Based on adaptive optimal kernel time-frequency representation, the seismic data of the target layer in Changshaling area of Ying'er Sag are processed by spectral imaging. On the basis of spectral imaging results and sedimentary environment, a prediction of favorable zones in Changshaling area was made. The result shows that this method is not only suitable for the time-frequency analysis of seismic signal and excels the traditional methods in reservoir description, but also takes an effectiveness in reservoir prediction.关键词
自适应最优核时频分布/高分辨率/频谱成像/储层预测Key words
adaptive optimal kernel time-frequency representation/high resolution/spectral imaging/reservoir prediction分类
天文与地球科学引用本文复制引用
刘小龙,王华,赵淑娥,陈建军,魏军,刘强..自适应最优核时频分布在地震储层预测中的应用[J].中南大学学报（自然科学版）,2012,43(8):3114-3120,7.基金项目
国家“十二五”科技重大专项项目(2011ZX05009-002) （2011ZX05009-002）
中国地质大学(武汉)构造与油气资源教育部重点实验室基金资助项目(TPR-2010-03) （武汉）
