Nonlinear constrained joint inversion of magnetotelluric and gravity data

It’s an important way to improve the resolution of the gravity and magnetic exploration by the constrained and joint inversion between the electromagnetic and gravity data using the known seismic, geological and logging data. The joint inversion of this study is mainly based on the relationship between resistivity and density by logging data statistics. By using the nonlinear artificial fish swarm inversion algorithm and parallel design to realize the parallel joint inversion of the magnetotelluric (MT) and gravity data based on the constrained of logging and seismic data, and improve the resolution of MT and gravity data. The inversion results of the model and field data show that the proposed nonlinear constrained joint inversion has a good practicability.