Seismic small-scale discontinuity sparsity-constraint inversion method using a penalty decomposition algorithm. (29th January 2016)

• Record Type: Journal Article
• Authors: Zhao, Jingtao; Peng, Suping; Du, Wenfeng
• Is Part Of: Journal of geophysics and engineering. Volume 13:Number 1(2016:Feb.)
• Page Start: 109
• Page End: 115
• Publication Date: 2016-01-29
• Subjects: seismic small-scale discontinuities -- non-smooth events -- L2-L0 norm -- penalty decomposition algorithm; Geophysics -- Periodicals; Prospecting -- Geophysical methods -- Periodicals; Engineering -- Periodicals; 622.1505
• DOI: 10.1088/1742-2132/13/1/109
• Languages: English
• ISSNs: 1742-2132

Abstract

Abstract: We consider sparsity-constraint inversion method for detecting seismic small-scale discontinuities, such as edges, faults and cavities, which provide rich information about petroleum reservoirs. However, where there is karstification and interference caused by macro-scale fault systems, these seismic small-scale discontinuities are hard to identify when using currently available discontinuity-detection methods. In the subsurface, these small-scale discontinuities are separately and sparsely distributed and their seismic responses occupy a very small part of seismic image. Considering these sparsity and non-smooth features, we propose an effective L 2 - L 0 norm model for improvement of their resolution. First, we apply a low-order plane-wave destruction method to eliminate macro-scale smooth events. Then, based the residual data, we use a nonlinear structure-enhancing filter to build a L 2 - L 0 norm model. In searching for its solution, an efficient and fast convergent penalty decomposition method is employed. The proposed method can achieve a significant improvement in enhancing seismic small-scale discontinuities. Numerical experiment and field data application demonstrate the effectiveness and feasibility of the proposed method in studying the relevant geology of these reservoirs.