Abstract:One of the main goals of the interpretation of magnetic data is the imaging of the boundaries of subsurface structures. In this study, a new edge detector called improved horizontal tilt angle (impTDX) has been introduced and tested on synthetic and measured magnetic data. The filter exhibits high efficiency not only in detecting the boundaries of the sources, but also in determining magnetic sources from different depth levels. The impTDX filter produces more precise and sharper boundaries, increases the disc… Show more
“…The angle of inclination varies sharply for different slopes. For slopes 0 and 90 degrees, the diagram's meeting point of the angle of inclination with the x-axes (x = 0) is close to the edges of the 2D model (Ibraheem et al, 2023;Mallick & Sharma, 1997;Stocco et al, 2009).…”
Section: Modeling Of Artificial Magnetic Datamentioning
confidence: 91%
“…It focused on investigating the simultaneous application of 3D inversion and edge-detecting methods as a confirmation and completion tool for combining subsurface magnetic susceptibility distribution and surface anomaly projection (Ghiasi et al, 2023;Hosseini et al, 2023;Ibraheem et al, 2023).…”
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.
“…The angle of inclination varies sharply for different slopes. For slopes 0 and 90 degrees, the diagram's meeting point of the angle of inclination with the x-axes (x = 0) is close to the edges of the 2D model (Ibraheem et al, 2023;Mallick & Sharma, 1997;Stocco et al, 2009).…”
Section: Modeling Of Artificial Magnetic Datamentioning
confidence: 91%
“…It focused on investigating the simultaneous application of 3D inversion and edge-detecting methods as a confirmation and completion tool for combining subsurface magnetic susceptibility distribution and surface anomaly projection (Ghiasi et al, 2023;Hosseini et al, 2023;Ibraheem et al, 2023).…”
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.
“…The angle of inclination varies sharply for different slopes. For slopes 0 and 90°, the diagram's meeting point of the angle of inclination with the x-axes (x = 0) is close to the edges of the 2D model [ 82 , 104 , 105 ]. Fig.…”
Section: Methodsmentioning
confidence: 99%
“…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. It focused on investigating the simultaneous application of 3D inversion and edge-detecting methods [ 16 , 17 , 25 , 26 , 64 , 67 , [81] , [82] , [83] ].…”
“…Most of these methods have been based on trigonometric functions, such as the tilt angle [33], theta map [34], exponential transform of the theta map [35], and normalized horizontal gradient [36]. A second generation of these methods involved high-order derivatives, for example, the tilt angle of the horizontal gradient [37], horizontal directional theta map [38], the horizontal gradient of the Ntilt [39], directional theta [40], logistic functions [41,42], enhanced horizontal gradient [43], and horizontal gradient of the improved normalized horizontal gradient [44]. The effectiveness of the edge detection techniques in terms of their precision in the determination of edges has been estimated in some recent studies [45][46][47][48].…”
Detecting the boundaries of geologic structures is one of the main tasks in interpreting gravity anomalies. Many methods based on the derivatives of gravity anomalies have been introduced to map the source boundaries. The drawbacks of traditional methods are that the estimated boundaries are divergent or false boundaries appear in the output map. Here, we use the exponential transform of the tilt angle of the horizontal gradient to improve the edge detection results. The robustness of the presented method is illustrated using synthetic data and real examples from the Voisey’s Bay Ni-Cu-Co deposit (Canada) and the Tuan Giao (Vietnam). The findings show that the presented technique can produce more precise and clear boundaries.
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