Three-dimensional inversion of magnetic data using compaction constraint: a case study—Sharif Kandi, West Iran

被引：1

作者：

Nazari H. ^{[1
]}

Esmailzadeh M. ^{[1
]}

Hajizadeh F. ^{[2
]}

Joulidehsar F. ^{[3
]}

机构：

[1] Mining Engineering (Exploration), Urmia University, Urmia

[2] Faculty of Mining Engineering, Urmia University, Urmia

[3] College of Engineering, Tehran University, Tehran

来源：

Arabian Journal of Geosciences | 2021年 / 14卷 / 14期

关键词：

Compact constraint; Conjugate gradient; Inversion; Magnetic; Responsible Editor: Narasimman Sundararajan; Sharif Kandi;

D O I：

10.1007/s12517-021-07627-w

中图分类号：

学科分类号：

摘要：

Three-dimensional inversion of the acquired data from exploratory studies is one of the quantitative methods to interpret the data. Beside its advantages such as 3D demonstration of the anomalous mass, the inversion of geophysical data has some disadvantages including large-scale dimensions of the model, low speed of the linear problem solution, and exact determination of the boundaries in data inversion procedure. In the present paper, the inverse transferring problem to the data space was used to reduce the model’s dimensions, indirect conjugate gradient technique was applied to solve the large-scale linear problems, and finally the compact constraint improved the model’s output. The synthetic model consists of two cube masses with different dimensions, positions, and properties to test the ability and speed of the algorithm. Also, the data obtained from this model were smeared with noise to assess the capability of the proposed algorithm code in the presence of the environmental noises. The inversion process takes less than one minute in this model. The synthetic model is reasonably close to the original model, and application of the compression constraint has resulted in structures with discrete boundaries which said the model space has made sparse. After validating the models, the mentioned code was implemented on the magnetic field data extracted of the Sharif Kandi region in Bijar County, Kurdistan Province. Then, the resulting models were evaluated by the exploratory bores in the studied region. The results indicated the high consistency of the resulting models with the drilling data, which is expressive of the proposed algorithm efficiency. © 2021, Saudi Society for Geosciences.

引用

共 24 条

[1]

Abbaszadeh Z., Patriotic S., Ebrahimzadeh Ardestani V., Three-dimensional inversion of gravimetric data in data space using compression constraints, J Earth Space Phys, 41, 3, pp. 453-462, (2015)

[2]

Blakely R.J., Potential Theory in Gravity and Magnetic Applications, (1996)

[3]

Boulanger O., Chouteau M., Constraint in 3D gravity inversion, Geophys Prospect, 49, pp. 265-280, (2001)

[4]

Dentith Michaelstephen T., Geophysics for the Mineral Exploration Geoscientist, (2014)

[5]

Farquharson C.G., Constructing piecewise-constant models in multidimensional minimum-structure inversions, Geophysics, 73, 1, pp. K1-K9, (2007)

[6]

Hansen P.E.R., Conjugate gradient solution of linear equations, Concurrency: Practice and Experience, 10, 2, pp. 139-156, (1998)

[7]

Joulidehsar F., Nowruzi G.H.H., Jahan Tigh M., Prospecting the Doroh mining Index using inverse modeling of geophysical data (M, Rs, IP), J Geophys Society, 7, 2, pp. 59-77, (2013)

[8]

Kurdistan Mineral Industries and Mines Development Company, Report of Magnetometric Operations in Sharif Kandi Area, (1977)

[9]

Last B.J., Kubik K., Compact gravity inversion, Geophysics, 48, pp. 713-721, (1983)

[10]

Li Y., Oldenburg D.W., 3-D inversion of magnetic data, Geophysics, 61, 2, pp. 394-408, (1996)

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