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.m
MH2DGRAV 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}
}