MH2DGRAV is continuous two-dimension inversion of Gravity data based on Talwani formulation using very fast simulated annealing (VFSA) in MATLAB.
These were scripts that were used to implement our paper: W. Srigutomo, M. Heriyanto, and M. Hilmi Aufa. Gravity Inversion of Talwani Model using Very Fast Simulated Annealing. Journal of Mathematical and Fundamental Sciences, Vol. 51, No. 2, 2019, 177-190. doi: 10.5614/j.math.fund.sci.2019.51.2.7 (PDF). I presented this paper on International Conference on Mathematics and Natural Sciences 2016. Nov 2, 2016 (SLIDE). These scripts contain two main scripts: forward and VFSA inversion: horizontal model. Tutorial video on YouTube: VFSA.
I hope these scripts can help students to enter research on geophysical inversion. Any updates about these scripts can be seen in my blog: https://mheriyanto.wordpress.com/mh2dgrav.
Forward result
- Kernel Matrix for forward modeling
- Data with 10% noise by horizontal model
- Data with 10% noise by vertical model
VFSA Inversion result
- Data with 10% noise by horizontal model
- Data with 10% noise by vertical model
$ git clone https://github.com/mheriyanto/MH2DGRAV.git
$ cd MH2GRAV
$ cd vfsa_inversion
$ octave Grav2DInvVFSAHorisontal.mMH2DGRAV is released under the MIT License (refer to the LICENSE file for details).
If you find this project useful for your research, please use the following BibTeX entry.
@article{srigutomo2019gravity,
title={Gravity Inversion of Talwani Model using Very Fast Simulated Annealing},
author={Srigutomo, Wahyu and Heriyanto, Mohammad and Aufa, Muhamad Hilmi},
journal={Journal of Mathematical and Fundamental Sciences},
volume={51},
number={2},
pages={177--190},
year={2019}
}