The multi-criteria velocity analysis of seismic data
XIE Jun-Fa1,2, SUN Cheng-Yu2, WANG Xing-Mou3, LI Hong-Mei3, LIN Mei-Yan2
1.Northwest Branch Institute,Research Institute of Petroleum Exploration and Development,CNPC,Lanzhou 730020,China; 2.School of Geosciences,China University of Petroleum(Huadong),Qingdao 266580,China; 3.Geophysical Research Institue of Shengli Oilfield,SINOPEC,Dongying 257022,China
Abstract:Velocity analysis is a key procedure of the seismic data processing,the conventional velocity analysis method scans with a series of given velocities with the same interval,and makes velocity spectrum based on the criteria of stacking power,semblance coefficient and so on.The energy groups of conventional velocity spectrum are usually divergent at the right NMO correction velocity,which affects the velocity pick up.A variance velocity method is studied and its velocity spectrum has higher precision since variance is relatively sensitive to the coherence of the events.The scanning velocity corresponding to the minimum values of the covariance velocity spectrum is picked up as the NMO correction velocity.However,due to the high precision,the area corresponding to the minimum variance value is too small in actual data processing,which is unfavorable for velocity pick up.In view of such a situation,the authors proposed a multi-criteria velocity analysis method regarding the production of variance, stacking power and semblance coefficient as the objective function.Noise will affect the variance by increasing its overall value but does not change its relative value relation.This method can also be applied to the seismic data with certain noise consequently.The authors have proved the correctness and effectiveness of the method by model data and actual data processing.
谢俊法, 孙成禹, 王兴谋, 李红梅, 林美言. 地震资料的多准则速度分析方法[J]. 物探与化探, 2017, 41(3): 513-520.
XIE Jun-Fa, SUN Cheng-Yu, WANG Xing-Mou, LI Hong-Mei, LIN Mei-Yan. The multi-criteria velocity analysis of seismic data. Geophysical and Geochemical Exploration, 2017, 41(3): 513-520.