Abstract:To disclose the details of structural traps in the Longmenshan piedmont belt in the northwestern Sichuan Basin, we carried out imaging and modeling of deep low-amplitude structures, mesh-tomography-based velocity modeling, and physical simulations of structures. Longmenshan piedmont belt presents severe surface fluctuations and serious problems of static correction. Then adaptive first-arrival tomographic inversion with micro-logging constraints is adopted to solve the problem of static correction that affects the imaging of low-amplitude structures. Besides, excessive dynamic calibration is avoided by anisotropic dynamic correction at large offsets, improving the accuracy of velocity analysis in shallow and steeply-dipping strata and deep low-amplitude structures. More-over, the near-surface velocity model of constrai-ned tomography and the mid-deep velocity model obtained by layered tomography are combined to guide the construction of an initial velocity model based on full use of well-logging data. Mesh tomography is used to optimize the velocity model and perform pre-stack depth migration. Therefore, seismic interpretation is supported by accurate and reliable data.
王艳香, 苏勤, 乐幸福, 张军舵, 刘威, 袁焕. 四川盆地西北部深层低幅度构造建模及成像[J]. 石油地球物理勘探, 2021, 56(1): 109-117.
WANG Yanxiang, SU Qin, LE Xingfu, ZHANG Junduo, LIU Wei, YUAN Huan. Research on modeling and imaging of deep low-amplitude structures in the northwestern Sichuan Basin. Oil Geophysical Prospecting, 2021, 56(1): 109-117.
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