重磁电震信息联合反演的随机建模技术

为了把目前的重磁反演从理论建模延伸到随机建模领域，本文从物理场、级数理论出发提出了重磁统计推断建模反演的方法．该方法在重磁场源分离的基础上，以断裂系统把研究区划分为一些独立的次级单元．在各单元内把要反演的地下界面深度作为其对应的极值重磁异常的二元复合逆函数，利用已知的重磁电震剖面资料，统计推断其逆函数的级数分布，以建立重磁电震联合反演的随机地质模型．应用该方法获得了合肥盆地的结晶基底构造图．该项技术探索．有潜能推进综合地球物理信息勘探技术发展．

Stochastic Modeling of Integrated Gravity-Magnetic- Electric-Seismic Inversion

From physical field and series theory,the gravity-magnetic inversion method with statistical inference modeling is presented, which extends the theoretical modeling of current gravity-magnetic inversion to stochastic one. On the basis of separation of gravity and magnetic field sources, the research area is divided into independent parts in light of the fault system in this method, and the subsurface interface depths in each part is represented as the corresponding bivariate inverse functions of extremum gravity and magnetic anomalies. The series distribution of the inverse functions is inferred statistically by using known gravity, magnetic, electric and seismic data in some profiles, and then the stochastic geological model from integrated gravity-magnetic-electric-seismic inversion is built. With this method,the crystal basement structure map of Hefei Basin in China has been successfully obtained. Investigating this method will be helpful to advance the development of integrated geophysical exploration technology.