IGUG: A MATLAB package for 3D inversion of gravity data using graph theory

@article{Vatankhah2019IGUGAM,
  title={IGUG: A MATLAB package for 3D inversion of gravity data using graph theory},
  author={Saeed Vatankhah and Vahid Ebrahimzadeh Ardestani and Susan Soodmand Niri and Rosemary Anne Renaut and Hojjat Kabirzadeh},
  journal={Comput. Geosci.},
  year={2019},
  volume={128},
  pages={19-29}
}
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3 Citations

3 Citations

Citation Type

Citation Type

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A fast methodology for large-scale focusing inversion of gravity and magnetic data using the structured model matrix and the $2D$ fast Fourier transform
TLDR
The presented results confirm earlier studies that the randomized algorithms are to be preferred for the inversion of gravity data, and that it is sufficient to use projected spaces of size approximately $m/8$ for data sets of size $m$.

References

SHOWING 1-10 OF 29 REFERENCES
Description of IGUG : A MATLAB program for 3-D inversion of gravity data using graph theory
TLDR
This short report describes the open source MATLAB package IGUG for 3-D inversion of gravity data, which contains a number of scripts and functions and implements the genetic algorithm based on parameters selected through thhe OptimParameters dialogues.
Three-dimensional gravity inversion using graph theory to delineate the skeleton of homogeneous sources
ABSTRACTWe developed a new strategy, based on graph theory concepts, to invert gravity data using an ensemble of simple point masses. Our method consisted of a genetic algorithm with elitism to…
Constraints in 3D gravity inversion
A three‐dimensional (3D) inversion program is developed to interpret gravity data using a selection of constraints. This selection includes minimum distance, flatness, smoothness and compactness…
3-D inversion of gravity data
We present two methods for inverting surface gravity data to recover a 3-D distribution of density contrast. In the first method, we transform the gravity data into pseudomagnetic data via Poisson's…
3-D inversion of gravity data
We present two methods for inverting surface gravity data to recover a 3-D distribution of density contrast. In the first method, we transform the gravity data into pseudomagnetic data via Poisson's…
Compact gravity inversion
We present a new criterion for the inversion of gravity data. The principle employed is to minimize the volume of the causative body, which is equivalent to maximizing its compactness. The anomalous…
3D gravity inversion of basement relief — A depth-dependent density approach
We present a 3D gravity inversion technique, based on the Marquardt algorithm, to analyze gravity anomalies attributable to basement interfaces above which the density contrast varies continuously…
Total variation regularization for depth-to-basement estimate: Part 1 — Mathematical details and applications
We have developed an inversion approach that estimates the basement relief of a fault-bounded sedimentary basin. The sedimentary pack is approximated by a grid of 3D or 2D vertical prisms juxtaposed…
3-D Joint Inversion of Magnetic and Gravimetric Data with a priori Information
Summary An algorithm which allows the combined 3-D inversion of magnetic total field and gravimetric data is presented. Model parameters which include top and base of vertical rectangular prisms,…
Application of the χ2 principle and unbiased predictive risk estimator for determining the regularization parameter in 3-D focusing gravity inversion
The χ 2 principle and the unbiased predictive risk estimator are used to determine optimal regularization parameters in the context of 3D focusing gravity inversion with the minimum support…
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