摘要：An important application of spectral decomposition (SD) is to identify subsurface geological anomalies such as channels and karst caves, which may be buried in full-band seismic data. However, the classical SD methods including the wavelet transform (WT) are often limited by relatively low time-frequency resolution, which is responsible for false high horizon-associated space resolution probably indicating more geological structures, especially when close geological anomalies exist. To address this issue, we impose a constraint of minimizing anl(p)(0 < p < 1) norm of time-frequency spectral coefficients on the misfit derived by using the inverse WT and apply the generalized iterated shrinkage algorithm to invert for the optimal coefficients. Compared with the WT and inverse SD (ISD) using a typicall(1)-norm constraint, the modified ISD (MISD) using anl(p)-norm constraint can yield a more compact spectrum contributing to detect the distributions of close geological features. We design a 3D synthetic dataset involving frequency-close thin geological anomalies and the other 3D non-stationary dataset involving time-close anomalies to demonstrate the effectiveness of MISD. The application of 4D spectrum on a 3D real dataset with an area of approximately 230 km(2)illustrates its potential for detecting deep channels and the karst slope fracture zone.

关键字：Spectral decomposition; Seismic interpretation; Inverse problem; High resolution; Deep exploration

ISSN号：1672-5107

发表日期：2020-09-01

影响因子：2.095600

期刊分区（SCI为中科院分区）：二区

收录情况：SCIE（科学引文索引网络版）,CSCD（中国科技引文期刊）（核心）

发表期刊名称：PETROLEUM SCIENCE

参与作者：Wang, Tie-Yi,Qi, Jie

通讯作者：杨珊

第一作者：袁三一,王尚旭

论文类型：期刊论文

论文概要：袁三一,杨珊,Wang, Tie-Yi,Qi, Jie,王尚旭，Inverse spectral decomposition using anl(p)-norm constraint for the detection of close geological anomalies，PETROLEUM SCIENCE，2020，

论文题目：Inverse spectral decomposition using anl(p)-norm constraint for the detection of close geological anomalies