通过对地震静校正问题的分析,综合线性反演方法的计算速度快和非线性反演方法寻找全局最优解能力强的优点,提出了求解地震静校正问题的双尺度反演方法.在大尺度下采用非线性反演方法为小尺度下的线性反演计算初始模型,利用小尺度下的线性反演方法获得精细模型.对反演参数的选取进行了讨论,使双尺度反演算法具有自适应的特点.理论模型和实际资料的计算表明该方法计算结果精度高、计算速度快.
By analyzing surface consistent statics, a dual-scale inversion algorithm is developed for solving the statics problem. It integrates high efficient characteristic of the linear inversion algorithm and strong global searching ability of the nonlinear inversion algorithm. This algorithm gets statics model at two scales. The nonlinear inversion algorithm is adopted at the large scale to get a coarse statics model, and this model serves as initial statics model at the small scale. The lineal inversion algorithm is used at the small scale to get a finer statics model. The selection of parameters for controlling inversion process is discussed and makes this algorithm self-adaptive. Checking with synthetic and real seismic data shows the proposed algorithm is effective and efficient.