摘要
OCCAM算法在大地电磁测深资料反演中已获得了成功应用。将其引入到瑞雷波频散曲线反演中,应用权重矩阵,提高了解的纵向分辨率;应用拉格朗日乘子光滑参数改善了迭代效果并提高了解的稳定性,使其可以在解的精度和模型分辨率中取最佳折中解。实测资料试算结果表明:用OCCAM算法对低速软弱夹层瞬态瑞雷波频散曲线进行反演,不但具有稳定性好、精度高、分辨能力强的特点,而且能自动分层和反演地层参数。
OCCAM algorithm has been successfully used to invert transient Rayleigh wave dispersion curves for lower velocity layers. The new efficient algorithm can overcome such serious shortcoming as the strict dependence on initial model, improve shear wave accuracy and resolution using thinned layers and weighted matrix, and can enhance iterative effect and adjust the relationship between resolution and solution by self-adaptive iterative smooth factor. Inversion results of field data indicate that OCCAM algorithm is characterized by good stability, high accuracy and strong resolution, and can automatically invert shear wave velocity and thickness.
出处
《煤田地质与勘探》
CAS
CSCD
北大核心
2009年第2期68-70,共3页
Coal Geology & Exploration
关键词
OCCAM算法
低速软弱夹层
瞬态瑞雷波
频散曲线
横波速度
OCCAM algorithm
lower velocity layers
transient Rayleigh waves
dispersion curves
shear wave velocity
