In this paper, a Pareto inversion based global optimization approach, to obtain results of joint inversion of two types of geophysical data sets, is formulated. 2D magnetotelluric and gravity data were used for tests, but presented solution is flexible enough to be used for combination of any kind of two or more target functions, as long as misfits can be calculated and forward problems solved. To minimize dimensionality of the solution, space and introduce straightforward regularization Sharp Boundary Interface (SBI) method was applied. As a main optimization engine, Particle Swarm Optimization (PSO) was used. Synthetic examples based on a real geological model were used to test proposed approach and show its usefulness in practical applications.
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Miernik, K., Bogacz, A., Kozubal, A. et al. Pareto Joint Inversion of 2D Magnetotelluric and Gravity Data — Towards Practical Applications. Acta Geophys. 64, 1655–1672 (2016). https://doi.org/10.1515/acgeo-2016-0035
- Pareto joint inversion
- Global Optimization
- computer software