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
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)