会议专题

A Computational Approach to Lipschitz Exponent of Seismic Data

For the variety of underground stratum lithology, seismic signal takes on irregularity, namely singularity. This singularity is quantitatively described by lipschitz exponent. Wavelet transform possesses time-frequency localization ability, so it is a powerful tool to analyze singularity of seismic signal and a new idea to compute lipschitz exponent. This paper studies adjustive characteristices of time-frequency resolution using morlet wavelet with damping parameter and analyzes computational approach to lipschiztz exponent. Location and strength of singularity in seismic signal can be captured by using this method. Lipschitz exponent volume that get from seismic data processing obtains good results, because its suitable for seismic stratigraphy and fault detecing.

seismic data wavelet transform singularity lipschitz exponent

FENG Lei

School of Resources and Environments Henan Polytechnic University Jiaozuo China

国际会议

2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

秦皇岛

英文

45-48

2010-11-05(万方平台首次上网日期,不代表论文的发表时间)