电磁与重力数据非线性约束联合反演

Nonlinear constrained joint inversion of MT and gravity data

利用已知的地震、地质、电测井等资料进行电磁、重磁资料约束联合反演是提高重磁电勘探分辨率的重要途径。基于测井统计的电阻率与密度两种物性参数之间的关系,同时利用测井数据、地震剖面、地质解释剖面等先验信息约束建模,采用非线性的人工鱼群反演算法,实现了基于井震约束的大地电磁与重力数据的并行联合反演,提高了电磁和重力勘探的分辨率。模型和实测数据测试反演表明,提出的非线性约束联合反演方法有很好的实用性。

It’s an important way to improve the resolution of the gravity,magnetic and electromagnetic exploration to apply the constrained and joint inversion of electromagnetic and gravity data using the known seismic,geological and logging data.The joint inversion in this study is mainly based on the relationship between resistivity and density by logging data statistics.Nonlinear artificial fish swarm inversion algorithm and parallel design were used,combined with the constraints of priori information such as logging data,seismic and geological interpretation sections,to realize the parallel joint inversion of magnetotelluric(MT)and gravity data,and the resolution of MT and gravity data was improved.The inversion results of model and field data demonstrated the feasibility of the proposed nonlinear constrained joint inversion.