石油地球物理勘探2025，Vol.60Issue(2)：283-291,9.DOI:10.13810/j.cnki.issn.1000-7210.20240067
利用深度学习图像转译方法压制自由表面多次波
Free-surface-related multiple attenuation through image translation based on deep learning
摘要
Abstract
In the field of oil exploration,multiple attenuation is an important means to improve the migration imaging quality of seismic data,especially for marine streamer data that is strongly disturbed by free-surface-re-lated multiples.To better improve the multiple attenuation effect and data processing efficiency,this paper pro-poses a free-surface-related multiple attenuation method using an image translation technology based on deep learning.Firstly,the seismic data processing task is regarded as an image translation task in deep learning,and the Pix2Pix network is used to process the seismic data converted into the image form.Secondly,by improving the target data set of the conventional single form to the combining form,this study carries out multi-task trai-ning to improve the output effect of the Pix2Pix network.According to the correlation before and after data pro-cessing,an additional loss function is designed to further constrain and improve the output effect of the net-work.Finally,a layered model and a complex model are established for numerical testing,and additional inter-ference items are added to the input data for quantitative testing.The numerical test results show that the pro-posed method can achieve multiple identification and attenuation by exploring the common features of data,im-prove the clarity of migrated images,and more accurately identify horizon information with high computational efficiency in data processing.关键词
深度学习/数据处理/多次波压制/Pix2Pix网络Key words
deep learning/data processing/multiple attenuation/Pix2Pix network分类
天文与地球科学引用本文复制引用
崔宁城,张伟..利用深度学习图像转译方法压制自由表面多次波[J].石油地球物理勘探,2025,60(2):283-291,9.基金项目
本项研究受国家自然科学基金项目"密集台阵被动源透射转换波逆时偏移和速度建模方法研究"(42074056)、深圳市科技计划"深海深地资源探测技术系统研发"(KQTD20170810111725321)、广东省地球物理高精度成像技术重点实验室(2022B1212010002)和广东省重大人才工程引进类(2019QN01G801)联合资助. （42074056）
