mh2dgrav
:earth_asia: MH2DGRAV is continuous two-dimension inversion of Gravity data based on Talwani formulation using very fast simulated annealing (VFSA) in MATLAB.
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Repository
:earth_asia: MH2DGRAV is continuous two-dimension inversion of Gravity data based on Talwani formulation using very fast simulated annealing (VFSA) in MATLAB.
Basic Info
- Host: GitHub
- Owner: mheriyanto
- License: mit
- Language: MATLAB
- Default Branch: master
- Homepage: https://mheriyanto.wordpress.com/mh2dgrav/
- Size: 485 KB
Statistics
- Stars: 22
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
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Metadata Files
README.md
MH2DGRAV
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
- Data with 10% noise by horizontal model
- Data with 10% noise by vertical model
Usage
console
$ git clone https://github.com/mheriyanto/MH2DGRAV.git
$ cd MH2GRAV
$ cd vfsa_inversion
$ octave Grav2DInvVFSAHorisontal.m
License
MH2DGRAV is released under the MIT License (refer to the LICENSE file for details).
Citation
If you find this project useful for your research, please use the following BibTeX entry.
BibTeX
@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}
}
Owner
- Name: eMHa
- Login: mheriyanto
- Kind: user
- Location: Banyuwangi, Indonesia
- Company: TB Geoscience
- Website: mheriyanto.dev
- Twitter: emheriyanto
- Repositories: 37
- Profile: https://github.com/mheriyanto
:robot: Serving EdgeML models at scale. @ezygeo-ai @cctvpintar
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Heriyanto"
given-names: "Mohammad"
orcid: "https://orcid.org/0000-0003-2182-2866"
title: "MH2DGRAV"
version: v0.1.0
date-released: 2020
url: "https://github.com/mheriyanto/MH2DGRAV"
preferred-citation:
type: article
authors:
- family-names: "Srigutomo"
given-names: "Wahyu"
orcid: "https://orcid.org/0000-0001-6483-2410"
- family-names: "Heriyanto"
given-names: "Mohammad"
orcid: "https://orcid.org/0000-0003-2182-2866"
- family-names: "Hilmi Aufa"
given-names: "Muhamad"
doi: "10.5614/j.math.fund.sci.2019.51.2.7"
url: "http://journals.itb.ac.id/index.php/jmfs/article/download/8270/4113"
journal: "Journal of Mathematical and Fundamental Sciences"
month: 2
publisher: "ITB Journal Publisher"
start: 177 # First page number
end: 190 # Last page number
title: "Gravity Inversion of Talwani Model using Very Fast Simulated Annealing"
issue: 2
volume: 51
year: 2019
abstract: "Global approaches for estimating geophysical model parameters have been proposed by several authors, including their application for gravity interpretation, which is currently limited to simple and fixed geometrical problems. This paper proposes implementation of Very Fast Simulated Annealing (VFSA) in two-dimensional gravity interpretation problems, which are still rarely addressed. The modeling domain was divided into smaller subdomains and gravity anomaly calculation was carried out based on the Talwani formulation. To improve the uniqueness of the solution of under-determined problems, specific constraints were added in addition to the assumed known symmetry axes. The inversion of VFSA was tested on synthetic data generated by simple models and on previously published real data to evaluate the applicability of the proposed approach to the interpretation of field data."
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