Ground-source Airborne Time-domain ElectroMagnetic (GATEM) modelling and interpretation method for a rough medium based on fractional diffusion

Wu, Qiong; Li, Donglinag; Jiang, Chunlan; Ji, Yanju; Wen, Yufeng; Luan, Hongmei

doi:10.1093/gji/ggz128

Cited by 14 publications

(3 citation statements)

References 26 publications

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“…The water in the soil is drained by driving a plastic drainage board on the foundation, and three points A, B, C on the section are selected for settlement monitoring (Figure 1). The project started in March 2019, and the frequency of settlement monitoring is 30d/time [8]. The project ends on June 22, 2020.…”

Section: Application Of Prediction Model In Settlement Predictionmentioning

confidence: 99%

Fractional Differential Equations in the Exploration of Geological and Mineral Construction

Wang

Gao

2022

Applied Mathematics and Nonlinear Sciences

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As the geological exploration data is relatively sparse, unevenly distributed, and contains many geological faults, simple geological surface reconstruction has certain limitations. Based on the fractional differential equations, the paper establishes a subsidence prediction model in exploring geological and mineral resources. The dynamic system described by the reaction-diffusion equation can be mapped to a nonlinear cellular network through space and time discretization. At the same time, the original partial differential equations can be transformed into ordinary differential equations. Furthermore, we can use the difference method to simulate its evolutionary behavior quantitatively. The research results show that the error accuracy between the prediction results of the fractional gray theory established in this paper and the actual engineering results is higher.

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Section: Application Of Prediction Model In Settlement Predictionmentioning

confidence: 99%

Fractional Differential Equations in the Exploration of Geological and Mineral Construction

Wang

Gao

2022

Applied Mathematics and Nonlinear Sciences

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“…Wu et al . () reported a 3D forward‐modelling solver for the grounded electrical source airborne TEM and for fractured media. Qiu et al .…”

Section: Introductionmentioning

confidence: 99%

A finite‐element time‐domain forward‐modelling algorithm for transient electromagnetics excited by grounded‐wire sources

Cai

et al. 2020

Geophysical Prospecting

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A B S T R A C TA three-dimensional finite-element time-domain forward-modelling algorithm is developed to simulate transient electromagnetics excited by grounded-wire sources. The main advantage of this finite-element time-domain algorithm is that full transmitting-current waveforms and complex-shaped sources resulting from topography can be directly dealt with in this algorithm. The models used to test this algorithm include a homogeneous half-space model, a stratified-medium model, the model of a complex conductor at a vertical contact and the Ovoid Zone massive sulfide deposit at Voisey's Bay, Canada. The homogeneous half-space model is used to determine the truncation boundary for a computational domain, and to compare with the electromagnetic responses excited by step-off, step-on and direct current waveforms. For the stratified-medium model, results demonstrate that full transmitting waveforms have strong effects on the observed electromagnetic responses. The model of a complex conductor at a vertical contact is designed for the grounded electrical source airborne transient electromagnetic method and is also used to examine the effectiveness of the broadside and inline configurations for such a vertical, thin plate embedded in the subsurface. The area of the Ovoid Zone massive sulfide deposit possesses non-negligible topography, the effects of which on the shapes of the grounded-wire sources must be taken into account when implementing the finite-element time-domain solver. The results show that both the broadside and inline electromagnetic responses are strongly affected by the massive conductive ore body.

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“…This method was verified by the theoretical model and applied to the field data, and the results were basically consistent with the geological data. Wu et al (2019) realized GATEM modeling and interpretation methods for a rough medium. The interpretation method based on artificial neural networks was applied to the field data, and the results were consistent with the geological data.…”

Section: Introductionmentioning

confidence: 99%

Interpretation Method of GATEM Data Based on PID Controller Iteration Downward Continuation Method  

Guan

Zhu

et al. 2020

Preprint

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The Ground-source Airborne Time-domain Electromagnetic (GATEM) system has advantages for high efficiency and complex areas such as mountainous zone. The widely used section interpretation method, ignoring the impact of flight height, which seriously affects the interpretation and imaging accuracy of shallow anomalies. The PID controller iteration downward continuation method is proposed. Based on the original continuation iteration method, the differential coefficient and integral coefficient are added. The result shows that the new method remarkably decreases the iteration number and the accuracy are verified by comparison with the numerical integration solution. The PID controller iteration downward continuation method is applied to the interpretation of GATEM data. For synthetic data, the after continuation interpretation results are closer to the true model than the z = 30 m interpretation results. The method is also applied to GATEM field data in Yangquan City, Shanxi Province, China. The interpretation performs using PID controller iteration downward continuation results in a reliable GATEM field.

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Ground-source Airborne Time-domain ElectroMagnetic (GATEM) modelling and interpretation method for a rough medium based on fractional diffusion

Cited by 14 publications

References 26 publications

Fractional Differential Equations in the Exploration of Geological and Mineral Construction

Fractional Differential Equations in the Exploration of Geological and Mineral Construction

A finite‐element time‐domain forward‐modelling algorithm for transient electromagnetics excited by grounded‐wire sources

Interpretation Method of GATEM Data Based on PID Controller Iteration Downward Continuation Method

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Ground-source Airborne Time-domain ElectroMagnetic (GATEM) modelling and interpretation method for a rough medium based on fractional diffusion

Cited by 14 publications

References 26 publications

Fractional Differential Equations in the Exploration of Geological and Mineral Construction

Fractional Differential Equations in the Exploration of Geological and Mineral Construction

A finite‐element time‐domain forward‐modelling algorithm for transient electromagnetics excited by grounded‐wire sources

Interpretation Method of GATEM&nbsp;Data Based on PID Controller Iteration Downward Continuation Method&nbsp;&nbsp;

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Interpretation Method of GATEM Data Based on PID Controller Iteration Downward Continuation Method