scholarly journals Three-Dimensional Density Model of Enisey-Khatanga-Region

Author(s):  
I.V. Lygin ◽  
A.P. Afanasenkov ◽  
T.B. Sokolova ◽  
K.M. Kuznetsov ◽  
G.S. Grigoriev
2020 ◽  
pp. 38-51
Author(s):  
V.A. Spiridonov ◽  
◽  
N.N. Pimanova ◽  
M.Ya. Finkelstein ◽  
◽  
...  

The work is devoted to the construction of a three-dimensional density model of the territory, which would not contradict the information obtained by other methods (drilling, seismic, etc.). A generalized scheme for constructing such a model is given, its stages and ways of matching with the results of other methods are described. The technology described in the work is based on the tools included in the GIS INTEGRO software package (FSBI "VNIGNI"). The article is illustrated with examples of the technology application in the construction of density models for various parts of the Volga-Ural oil and gas province. Key words: density modeling, 3D density model, inverse problem of gravity exploration, GIS INTEGRO.


Geophysics ◽  
1976 ◽  
Vol 41 (4) ◽  
pp. 777-777
Author(s):  
Ramesh Chander

An important possible constraint on a density model obtained from inversion of gravity data has been overlooked in the seminal paper by Green. The computed density model should be such that the corresponding total mass excess or deficit per unit length in a two‐dimensional case, or total mass excess or deficit in a three‐dimensional case, should be comparable to the value obtained by applying Gauss’s theorem to the observed gravity anomaly data (Grant and West, 1965, p. 227–28 and p. 232).


2021 ◽  
Author(s):  
David Arutyunyan ◽  
Ivan Lygin ◽  
Kirill Kuznetsov ◽  
Tatiana Sokolova ◽  
Tatiana Shirokova ◽  
...  

<p>The 3D gravity inversion was realized in order to reveal the density features of the Earth's crust the Barents Sea. The original 3D density model of the region includes both lateral and depth density`s changes.<br>The main steps of the modelling are:</p><p>- The calculation of the anomalies of the gravity field in Bouguer reduction with the three-dimensional gravitational effect correction of the seabed.</p><p>- Gravity field correction for the three-dimensional influence of the Moho boundary (according to the GEMMA model). The excess density at the Moho picked by minimizing the standard (root-mean-square) deviation of the gravity effect from GEMMA Moho boundary and Bouguer anomalies. So, the regional density jump at the Moho border is 0.4 g / cm<sup>3</sup>.</p><p>- Based on regional geological and geophysical data about the deep structure of the Barents Sea, it was developed generalized dependence of density changes by depth in the sedimentary cover and the consolidated part of the earth's crust.</p><p>- Compilation of 3D original model of the base of the sedimentary cover on predictive algorithms of neural networks. The neural network was trained on several reference areas located in different parts Barents area using a number of potential fields transformations and the bottom of the sedimentary cover from model SedThick 2.0.</p><p>- Using the resulted dependence of the crust density change by depth and a new model of the sedimentary cover bottom, the gravitational field corrected for the impact of the sedimentary cover with variable density.</p><p>- The finally stripped gravity field is used to create density model above and below the base of the sedimentary cover. Frequency filtering on Poisson wavelets [Kuznetsov et al., 2020] had been used for the final separation of the gravitational field into its components.</p><p>- The inverse task was solved using specialized volumetric regularization [Chepigo, 2020].</p><p>As a result, the crust of the Barents Sea density inhomogeneities were localized by depth and laterally in 3D model, which became the basis for further structural-tectonic mapping.</p><p>References</p><p>Chepigo L.S. GravInv3D [3D density modeling software]. Patent RF, no. 2020615095, 2020. https://en.gravinv.ru/</p><p>Kuznetsov K.M. and Bulychev A.A. GravMagSpectrum3D [Program for spectral analysis of potential fields]. Patent RF, no. 2020619135, 2020.</p>


Author(s):  
V.N. Glaznev ◽  
◽  
M.V. Mints ◽  
I.A. Yakuba ◽  
◽  
...  

The paper considers the results of calculation of the three-dimensional density model of the Earth’s crust for the territory of the Republic of Niger in conditions of incomplete initial geological and geophysical information. A brief description of the geological structure of the research region is given and the task of the study is formulated. The initial data set of density modeling is described, including: the anomalous gravity field, the initial model of the medium, the constraints on the desired solution, and the weight functions of redistribution of field incompatibilities. Inversion of the anomalous gravity field was performed in a three-dimensional formulation for a regular grid with a 25×25 km spacing in the plan and 14 layers of irregular vertical grid. The density model of the crystalline crust obtained by solving the inverse problem was combined with a priori data on the density of the upper mantle layer and the previously constructed layered model of the sedimentary cover of the region. The main features of the density model of the Earth’s crust are considered and its density heterogeneities are compared with the regional geological and tectonic data. The leading role of young structures of the West African rift System and their relationship with density inhomogeneities in the lower and middle crust of the territory of the Republic of Niger was noted.


Author(s):  
Doug Schouten

Muon attenuation in matter can be used to infer the average material density along the path length of muons underground. By mapping the intensity of cosmic ray muons with an underground sensor, a radiographic image of the overburden above the sensor can be derived. Multiple such images can be combined to reconstruct a three-dimensional density model of the subsurface. This article summarizes selected case studies in applying muon tomography to mineral exploration, which we call muon geotomography. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.


Author(s):  
Andrés Tassara ◽  
Hans-Jürgen Götze ◽  
Sabine Schmidt ◽  
Ron Hackney

2018 ◽  
Vol 40 (3) ◽  
pp. 27-53
Author(s):  
V. I. Starostenko ◽  
P. Ya. Kuprienko ◽  
I. B. Makarenko ◽  
A. S. Savchenko ◽  
O. V. Legostaeva

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