论文详情
The seismic wavelet in the depth domain is a function of the subsurface-medium velocity.Its wave number changes with the medium velocity.The “linear time-invariant” condition does not hold in the depth domain,thus the convolution model cannot be directly used to extract seismic wavelet information in such domain.The accurate estimation of wavelet information is essential for depth-domain seismic inversion and interpretation.In this review,two main problems were analyzed and discussed,namely the variation of the seismic wavelet waveform with the medium velocity in the depth domain and the inconsistency of the sampling interval between depth-domain well-log and seismic data.Countermeasures to overcome these issues were suggested.Subsequently,existing depth-domain seismic wavelet estimation methods were described and classified.According to whether well logging information is used,these methods were divided into deterministic and statistical seismic wavelet estimation methods.The advantages,disadvantages,and applicability conditions of each method were summarized.Finally,the following suggestions were made for improving these methods:①further developing statistical seismic wavelet estimation methods in the depth domain;②utilizing the correlation between seismic inversion results and well-log information as one of the criteria to evaluate seismic wavelet estimation results;③utilizing seismic wavelet models to reduce the number of unknowns in the wavelet estimation and improve computational efficiency;④establishing two-dimensional and three-dimensional depth-domain seismic wavelet estimation methods;⑤establishing depth-domain seismic wavelet estimation methods that do not depend on the convolution model or that omit seismic wavelet estimation using machine learning.
国家自然科学基金项目(41874143,41574130)和国家科技重大专项(2016ZX05014-001-009)共同资助。