Using Mirror Migration of OBS Data to Image the Deepwater Area of South China Sea

作     者：Siyou Tong Chuanxi Sun Linwei Li Dazhen Xu Jie Wang 

作者机构：Key Lab of Submarine Geosciences and Prospecting Techniques Ministry of Education Ocean University of China Evaluation and Detection Technology Laboratory of Marine Mineral Resources Qingdao National Laboratory for Marine Science and Technology 

出 版 物：《Journal of Earth Science》 (地球科学学刊（英文版）)

年 卷 期：2018年第29卷第3期

页      面：662-668页

核心收录：

学科分类：081801[工学-矿产普查与勘探] 081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：supported by the National Natural Science Foundation of China (No. 41230318) the National High Technology Research and Development Program 863 (No. 2013AA092501) the Qingdao National Laboratory for Marine Science and Technology Innovation Project of Aoshan (No. 2015ASKJ03) 

主　　题：deepwater OBS data mirroring migration wave field separation. 

摘      要：Ocean bottom seismograph （OBS） is widely used in investigating deep crustal structure, which is characterized by a large amount of data information and abundant frequency components because of its multi-component acquisition. OBS is seldom used in deepwater oil and gas exploration and basin research due to the high cost. The complicated seismic wave field is caused by the complex seabed topography, basin and oil and gas structure in deepwater area, which increases the difficulty of image processing. In addition to reflection imaging, we utilize the multiple of OBS data to make accurate imaging and have achieved desirable results in a deep sea area in South China Sea in this paper. Firstly, the original P and Z components of OBS data are processed by wave field separation to obtain the upgoing wave filed and downgoing wave filed. Secondly, its image velocity filed is constructed. Finally, downgoing wave data is used to image （called mirror migration）. Compared with conventional migration, the mirror migration can clearly image the seabed and provide better illumination for shallow layer below the seafloor in the case of sparse nodes, which is proved by the migration results of theoretical and real data in this paper.