摘要：Seismic random noise suppression has been a persistent challenge in seismic data processing. It can directly determine the quality of successive seismic data processing and interpretation. Unlike coherent noise, random noise carries the characteristic of wide frequency band, which makes it hard to be separated from effective signals in the seismic data. To solve the above-mentioned problems, we propose to perform random noise suppression with the help of deep convolutional neural networks. Compared with conventional random noise suppression methods, methods based on neural network are more efficient and automatic. However, random noise suppression with existing deep learning algorithms ignores the existence of complex structure, resulting in energy loss of effective signals. In this manuscript, we propose a novel random noise suppression network, which is referred to as structure-preserving deep denoising convolutional neural network. The training labels in the manuscript are denoised field and synthetic seismic data, the features of which are used to train the neural networks. And considering the drawback of conventional neural networks in preserving the structure of seismic signals, we introduce local seismic dip information into the network and incorporate local seismic dip information into the objective function. Numerical and field seismic data applications indicate that the neural network can effectively suppress random noise in seismic data. And structure of seismic data is preserved with the introduction of local dipping information.

关键字：Post-stack; Random noise suppression; Neural network; Local seismic dip; Structure-preserving

ISSN号：0001-5733

卷、期、页：卷 67期10: 3841-3850

发表日期：2024-10-01

影响因子：0.000000

期刊分区（SCI为中科院分区）：四区

收录情况：SCI（科学引文索引印刷版）,地学领域高质量科技期刊分级目录（国内T1）,SCIE（科学引文索引网络版）

发表期刊名称：地球物理学报 - CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION

第一作者：赵振聪,饶莹

论文类型：期刊论文

论文概要：赵振聪,饶莹，Seismic random noise suppression based on SP-DnCNN neural network，地球物理学报 - CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION，2024，卷 67期10: 3841-3850

论文题目：Seismic random noise suppression based on SP-DnCNN neural network