Quality control method for secondary location of OBN data
WANG Zhongcheng1, TONG Siyou1,2, ZHOU Huawei1,3, FANG Yunfeng4, SUN Yunsong4, XU Xiugang1
1. Key Lab of Submarine Geosciences and Prospecting Techniques, MOE, Ocean University of China, Qingdao, Shandong 266100, China; 2. Laboratory for Marine Mineral Resources, Pilot National Laboratry for Marine Science and Tech-nologyc(Qingdao), Qingdao, Shandong 266061, China; 3. Department of Earth and Atmospheric Sciences, University of Houston, Houston 77204, America; 4. BGP R&D Center, CNPC, Zhouzhou, Hebei 072751, China
Abstract:During ocean bottom node (OBN) survey, geo-phones need to be placed on the seafloor. Howe-ver, due to the complex marine environment, the actual implantation position of OBN on the seafloor usually deviates from the design position and needs to be relocated. At present, a variety of secondary location methods have been developed, but their proposers focus on the principle and application effect of a secondary location method; there is little systematic description of effective quality control in field application. With this regard, based on the equivalent velocity method of secondary positioning, this paper studies the factors that affect the secondary positioning accuracy of OBN receiver points, including the accuracy of picked direct wave travel time, geometry, and time shift. The results show that the accuracy of picked direct wave travel time has a crucial impact on the secondary positioning accuracy;if the shot points and the receiver point are projected to the x-axis, y-axis, and z-axis respectively, the distribution of the shot points will be more uniform and more symmetrical relative to the receiver point, and the positioning accuracy will be higher in this direction;the systematic error of travel time is difficult to identify, but it has a great impact on the positioning accuracy in the z direction. Finally, this paper provides methods and suggestions for quality control of secondary positioning of OBN data. Firstly, the first-break travel time is sifted to ensure the accuracy of picked first-break travel time. Then the time shift is introduced as an additional variable to calculate the possible shift of first-break travel time, and the first-break travel time of shot points in a symmetrical distribution relative to the receiver point is selected for calculation. Finally, the processor can monitor the secondary positioning quality artificially according to the comparison between the shapes of the direct wave after NMO, the spatial distribution of travel time errors, mathematical statistics, and other aspects of the common detector gathers before and after secondary positioning.
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