【摘要】 利用MonteCarlo技术估算静校正时总会出现零空间现象，即炮点静校正量或检波点静校正量作相同时移。本文认为产生零空间的根本原因是：由于MonteCarlo静校正时移量较大，记录含有噪声，实际资料还存在剩余动校正量，于是产生了伪长波长静校正分量和伪短波长静校正分量，这两个分量“贡献”到叠加结果中，导致叠加能量退化，从而产生了零空间。在此基础上，本文提出了其解决方法──自适应空间滤波法。实验证明，该方法可消除零空间现象，避免了叠加能量退化，加快了收敛速度，较好地保证MonteCarlo技术搜索到全局最优解。更多还原

【Abstract】 In statics estimation using Monte Carlo technique, there always occurs null space phenomenon, namely equal time shifts for shot-point static correction or receiving-point static correction. The essential reason for null space occurrence is that quite big time shifts in Monte Carlo static correction, noises and residual normal moveouts in seismic data bring pseudo long-wavelength and pseudo short-wavelength static correction components, which cause degenerative stack energy to result in null space.Self-adaptive spatial filtering method is then used to solve the tough problem.It is experimentally proved that the method removes null space, avoids degenerative stack energy, speeds convergence and makes Monte Carlo technique result in global optimal solution.更多还原