Geophysical analysis to delineate a Class-I AVO prospect in the offshore east coast of India: A case study

Yadav, Ashok; Mondal, Samit; Chatterjee, Rima

doi:10.1016/j.jappgeo.2022.104794

Cited by 11 publications

(6 citation statements)

References 17 publications

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“…Meanwhile, the gravity technique is supplementary and complementary [ [14] , [15] , [16] , [17] ]. Often, in the studied areas, due to the outcrops of magnetite seen on the earth's surface and their association with existing tectonic systems, the pursuit of these iron-bearing zones in-depth, as well as the extent of their expansion in different directions, has necessitated the performance of magnetic operations [ 5 , 6 , 10 , [18] , [19] , [20] , [21] ].…”

Section: Introductionmentioning

confidence: 99%

Geobody estimation by Bhattacharyya method utilizing nonlinear inverse modeling of magnetic data in Baba-Ali iron deposit, NW Iran

Kianoush,

Keshavarz Faraj Khah,

Hosseini

et al. 2023

Heliyon

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Section: Introductionmentioning

confidence: 99%

Geobody estimation by Bhattacharyya method utilizing nonlinear inverse modeling of magnetic data in Baba-Ali iron deposit, NW Iran

Kianoush,

Keshavarz Faraj Khah,

Hosseini

et al. 2023

Heliyon

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“…Meanwhile, the gravimetric method is also used as auxiliary and complementary methods (Abedi et al, 2015;Doulati Ardejani et al, 2011;Hosseini et al, 2013;Hosseini et al, 2014). Often, in the studied areas, due to the outcrops of magnetite seen on the earth surface and their relationship with existing tectonic systems, the pursuit of these iron-bearing zones in-depth, as well as the extent of their expansion in different directions, has necessitated the performance of magnetometric operations (Blakely, 1995;Blakely & Simpson, 1986;Hinze, 1990;Hinze & Von Frese, 1990; Moradzadeh et al, 2021;Sampaio et al, 2021;Yadav et al, 2022).…”

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

Khah²,

Kianoush

et al. 2023

Preprint

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Geophysical studies are utilized as one of the main steps in exploration that must be performed before exploratory drilling due to the high cost of excavation and its related heavy machinery and reduction of the exploration cost. One of the most critical geophysical issues in estimating the physical and geometric parameters is the store carrying out using the residual magnetic anomaly reduction. These parameters include depth, volume, shape factor, and type of storage. The present geophysical study aims to prepare and model magnetic data for proposed drilling sites in the Baba Ali Iron ore deposit in the Hamedan province of Iran. Inverse modeling is one of the most efficient interpretive methods of potential field data. In this study, the Bhattacharya method in MATLAB software is used to minimize the target function and potential field data to create the best fit for magnetic data. In this modeling, the graphs of the residual anomaly and model showed an excellent conformation two-dimensionally. Also, 3D modeling reconstructs the properties of the productive resources of anomalies correctly. After preparation of total magnetic maps, it was found out that the magnetic lens in four anomalies with surface depths of 20, 50, and 50 meters is estimated for this zone. Their specific gravity was 4.77 t / m3, and their initial storage capacity was 95,400 tones at most. Also, exploratory excavation is proposed to complete the preliminary explorations of the specified region by inverse modeling for the three points.

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“…Meanwhile, the gravity method is also auxiliary and complementary (Abedi et al, 2015;Doulati Ardejani et al, 2011;Hosseini et al, 2013;Hosseini et al, 2014). Often, in the studied areas, due to the outcrops of magnetite seen on the earth's surface and their relationship with existing tectonic systems, the pursuit of these iron-bearing zones in-depth, as well as the extent of their expansion in different directions, has necessitated the performance of magnetic operations (Blakely, 1995;Blakely & Simpson, 1986;Hinze, 1990;Hinze & Von Frese, 1990;Moradzadeh et al, 2021;Sampaio et al, 2021;Yadav et al, 2022). In addition, the magnetic method is used as a geophysical method with high and inexpensive survey efficiency in most mineral potentials, especially in iron-bearing areas, so it is before other geophysical methods in this regard (Doulati Ardejani et al, 2011;Moradzadeh et al, 2005;Paterson & Reeves, 1985;Shakiba et al, 2018).…”

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 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 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 filters applied on the entire magnetic map so that the lens's depth is trivial and almost zero. Their specific gravity is calculated as 4.77 t/m3, and their initial storage capacity is suggested to be about 95,400 tones at most. Finally, to complete the preliminary explorations of the specified area, exploratory drilling is suggested for three points by inverse modeling.

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Geophysical analysis to delineate a Class-I AVO prospect in the offshore east coast of India: A case study

Cited by 11 publications

References 17 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

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

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