重磁震统计推断联合建模反演技术研究与应用

提出了一种新的基于统计推断的重磁震联合反演方法。首先利用重磁差值趋势面进行场源分离 ,以分布独立的断裂系统为单元 ,把反映目标层地震波反射界面深度作为与其对应的重磁异常的二元复合逆函数 ,然后利用已知重磁震资料统计推断其逆函数在空间域上的泰勒级数分布。该方法无须事先对地质模型进行假设 ,避免了反演的多解性。对合肥盆地印度支面构造的反演结果说明了该方法的有效性 ,并成功地编绘了合肥盆地印度支面重磁震联合反演构造图

Application of gravity-magnetic-seismic combination inversion modeling technology based on statistical inference

A novel gravity magnetic seismic combination inversion method based on statistical inference was proposed. Firstly, the difference value trend surface was used for separating the gravity magnetic source field, and the independently distributed fault system was taken as an element. The depth of seismic reflection interfaces was taken as binary compound reverse function corresponding to the gravity magnetic anomaly. Secondly, it infers the Taylor series distribution of the reverse function of the seismic reflection interface stochastically based on the known gravity magnetic seismic information. The inversion results of the India structural maps of Hefei Basin proved the effectiveness of the proposed method.