Seismic fault enhancement method based on Ho-RPCA

• Main Authors: MA BO, SHI HAOGUO, YUAN QING, SONG MINGSHUI, ZHANG YUEJING, XU YOUDE, SHANG FENGKAI, WANG JINDUO, WANG QIANJUN, CHEN LIN
• Format: Patent
• Language: Chinese; English
• Published: 15.03.2019
• Subjects: DETECTING MASSES OR OBJECTS; GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; MEASURING; PHYSICS; TESTING

The invention provides a seismic fault enhancement method based on Ho-RPCA, which comprises the following steps of: 1, preprocessing input three-dimensional coherent volume data, and separating a low-rank fault part from a sparse noise part; 2, constructing an objective function based on Ho-RPCA; 3, solving the optimization problem through an alternating direction multiplier algorithm frame; 4, minimizing a tensor kernel norm, and using a kernel norm approximate solution based on tensor random singular value decomposition. The method enhances a coherent body from the angle of a tensor model, protects the high-dimensional characteristics of a coherent attribute body better, can better remove noise, improves the enhanced fault continuity, and can better enhance the fault information in the coherent body, and the overall effect is relatively ideal. 本发明提供种基于Ho-RPCA的地震断层增强方法，该基于Ho-RPCA的地震断层增强方法包括：步骤1，对输入三维相干体数据进行预处理,对低秩的断层部分和稀疏的噪声部分进行分离；步骤2，构建基于Ho-RPCA的目标函数；步骤3，通过交替方向乘子法算法框架来求解该最优化问题；步骤4，对张量核范数进行最小化，采用基于张量随机奇异值分解的