New insights of the crustal structure across Estonia using satellite potential fields derived from WGM-2012 gravity data and EMAG2v3 magnetic data

Solano-Acosta, Juan David; Соэсоо, Алвар; Hints, Rutt

doi:10.1016/j.tecto.2022.229656

Cited by 5 publications

(2 citation statements)

References 127 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A very fast simulated annealing (VFSA) global optimization algorithm was carried out using inverse modeling of the magnetic anomalies produced by a 2D dyke like structure. The parameters such as amplitude coefficient, depth, half-width, origin, and dip angle of 2D inclined dyke like bodies were interpreted (Biswas et al, 2022;Espinoza Celi et al, 2023;Solano-Acosta et al, 2023). Finally, as new research, a 3D inverse modeling procedure was applied to the Charmaleh Iron deposit magnetic data in Iran to obtain a valid anomaly edge perimeter.…”

Section: Introductionmentioning

confidence: 99%

Geobody Estimation by Bhattacharyya Method Utilizing Nonlinear Inverse Modeling of Magnetic Data in Baba-Ali Iron Deposit, NW Iran

Kianoush

Khah²,

Hosseini

et al. 2023

Preprint

View full text Add to dashboard Cite

Geophysical investigations are one of the leading efforts in any exploration project that must be performed ahead of time due to the high excavation expenditures, heavy machinery, and cost reduction. One of the essential geophysical concerns is the estimation of the physical and geometrical parameters of the reserve (geobody), which is done by exploiting the nonlinear inverse modeling of magnetic data. These parameters include depth, volume, shape factor, and type of storage. The present investigation aims to prepare and model magnetic data for proposed drilling sites in the Baba Ali Iron ore deposit in the Hamedan province of Iran. The area is covered with 1000 points of geomagnetic reading with an almost 5*10 m regularly spaces grid trending WE. The areal and depth extent of the iron ore geobody was unknown. The Bhattacharyya method by MATLAB software coding was used to minimize the target function and potential field data and create the best fit for the measured and modelled magnetic data. The residual anomaly and model graphs exhibited an excellent two-dimensional conformation in this modeling. Also, 3D modeling correctly reconstructs the properties of the productive resources of anomalies. After preparing full magnetic maps, the magnetic lenses distinguished in four anomalies of surface depths, 20, 50, and deeper than 50 meters for this zone. This magnetite lens for the first zone was estimated based on analytical signal filters applied on the entire magnetic map so that the lens's depth is trivial and almost zero. Due to specific gravity calculated as 4.77 t/m3, initial storage capacity is suggested to be about 95,400 tons of magnetite, pyrite, and hematite minerals at most in an area about 6 Km2. Finally, to complete the preliminary explorations of the specified area, exploratory drilling is suggested for three points by inverse modeling.

show abstract

Section: Introductionmentioning

confidence: 99%

Geobody Estimation by Bhattacharyya Method Utilizing Nonlinear Inverse Modeling of Magnetic Data in Baba-Ali Iron Deposit, NW Iran

Kianoush

Khah²,

Hosseini

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The inversion procedure was completed with a welldeveloped subroutine of the non-linear conjugate gradient method [9]. A very fast simulated annealing (VFSA) global optimization algorithm was carried out using inverse modeling of the magnetic anomalies produced by a 2D dyke like structure [51,83,84]. Finally, as new research, a 3D inverse modeling procedure was applied to the Charmaleh Iron deposit magnetic data in Iran to obtain a valid anomaly edge perimeter.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Depth, Physical Parameters, and Location Using Nonlinear Inverse Modeling of Magnetic Data by Bhattacharya Method in a Field of NW Iran

Hosseini

Farajkhah²,

Kianoush

et al. 2023

SSRN Journal

View full text Add to dashboard Cite

Lineament depth deduction using geomorphometry and 3D Euler solution

El Koundi,

Dhaoui,

El Ghali

2024

Acta Geophys.

View full text Add to dashboard Cite

In this paper, we present a novel method for determining the depth of lineaments using satellite gravity data, which we test in the Sahel of Sfax area (eastern Tunisia). This region has a relatively flat topography with few significant discontinuities at the surface.As a first step, we used morphometric indices such as slope, aspect, and hydrographic network, calculated from SRTM-DEM, to generate separate lineament maps. We then combined these lineaments into a synthetic lineament map, which showed a high level of agreement with the Bouguer anomaly map derived from satellite gravity data and with previous studies that used geophysical data (seismic and gravity). We also validated the lineament map using field data.By fusing these lineaments with the 3D Euler solution map, we were able to deduce the depth classification of the lineaments. Our results demonstrate the effectiveness of our proposed method in estimating the depth of lineaments and its potential to provide valuable insights into the subsurface geology of an area. This method can be a useful tool for mineral exploration, hydrocarbon exploration, and geohazard assessments.

show abstract

New insights of the crustal structure across Estonia using satellite potential fields derived from WGM-2012 gravity data and EMAG2v3 magnetic data

Cited by 5 publications

References 127 publications

Geobody Estimation by Bhattacharyya Method Utilizing Nonlinear Inverse Modeling of Magnetic Data in Baba-Ali Iron Deposit, NW Iran

Geobody Estimation by Bhattacharyya Method Utilizing Nonlinear Inverse Modeling of Magnetic Data in Baba-Ali Iron Deposit, NW Iran

Estimation of Depth, Physical Parameters, and Location Using Nonlinear Inverse Modeling of Magnetic Data by Bhattacharya Method in a Field of NW Iran

Lineament depth deduction using geomorphometry and 3D Euler solution

Contact Info

Product

Resources

About