摘要：Structural and stratigraphic discontinuities, such as faults and channels, generally contribute to the construction of traps and reservoirs. Spectral decomposition can utilize the sensitivities of different frequency components to different geological conditions to identify these geological anomalies. The sparse inverse spectral decomposition (SISD) involves a sparse constraint of time-frequency spectra, and one critical parameter is the sparsity which determines the time-frequency resolution. A small sparsity gives a low temporal resolution result that cannot be used for thin-bed detection. Conversely, a large sparsity provides a high-resolution result, but it may lose weak reflection signals. The complex geological conditions in the subsurface will lead to some difficulties in detecting the discontinuities by using the SISD method with a fixed sparsity. To address this issue, we propose multi-sparsity-based spectral attributes by fusing the amplitude spectra results of three different sparsities to detect subsurface discontinuities. Compared with the fixed sparsity, the multi-sparsity-based spectral attributes can detect more geological details and highlight geological edges more clearly. The application on a 3D real data with an area of 230 km(2) from deep formation in Northwest China exhibits its effectiveness in discontinuity detection. The proposed method can detect the weak or small hidden geological details more and better than the fixed sparsity method, suggesting that it may serve as a future tool for detecting the distribution of geological abnormalities in subsurface.

关键字：Discontinuity detection Multi-sparsity SISD Amplitude spectra

ISSN号：1895-6572

卷、期、页：卷: 67 期: 4 页: 1059-1069

发表日期：2019-08-01

影响因子：0.000000

收录情况：SCIE（科学引文索引网络版）,ESI（基本科学指标数据库）,EI（工程索引）

发表期刊名称：Acta Geophysica

参与作者：刘炳杨

通讯作者：王铁一,杨珊

第一作者：袁三一,王尚旭

论文类型：期刊论文

论文概要：王铁一,袁三一,杨珊,刘炳杨,王尚旭，Multi-sparsity-based spectral attributes for discontinuity detection，Acta Geophysica，2019，卷: 67 期: 4 页: 1059-1069

论文题目：Multi-sparsity-based spectral attributes for discontinuity detection