An integrated processing scheme for high-resolution airborne electromagnetic surveys, the SkyTEM system

Auken, Esben; Christiansen, Anders Vest; Westergaard, J.G.; Kirkegaard, Casper; Foged, Nikolaj; Viezzoli, Andrea

doi:10.1071/eg08128

Cited by 181 publications

(107 citation statements)

References 12 publications

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“…Figure 19 presents a single flight line of data acquired from a time domain helicopter EM survey [59] and seeks to highlight the process and computational requirements of three different inversion approaches on the same data set. This example shows data …”

Section: Inversion Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Correlation of radon and geomagnetic anomalies of the territory of Ukraine

Orlyuk¹,

Марченко²,

Yatsevsky³

2018

Dopov. Nac. akad. nauk Ukr.

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Under the terms of Articles III.A and VIII.C of its Statute, the IAEA is authorized to foster the exchange of scientific and technical information on the peaceful uses of atomic energy. The publications in the IAEA Nuclear Energy Series provide information in the areas of nuclear power, nuclear fuel cycle, radioactive waste management and decommissioning, and on general issues that are relevant to all of the above mentioned areas. The structure of the IAEA Nuclear Energy Series comprises three levels: 1 -Basic Principles and Objectives; 2 -Guides; and 3 -Technical Reports.The Nuclear Energy Basic Principles publication describes the rationale and vision for the peaceful uses of nuclear energy.Nuclear Energy Series Objectives publications explain the expectations to be met in various areas at different stages of implementation.Nuclear Energy Series Guides provide high level guidance on how to achieve the objectives related to the various topics and areas involving the peaceful uses of nuclear energy.Nuclear Energy Series Technical Reports provide additional, more detailed, information on activities related to the various areas dealt with in the IAEA Nuclear Energy Series.The IAEA Nuclear Energy Series publications are coded as follows: NG -general; NP -nuclear power; NF -nuclear fuel; NW -radioactive waste management and decommissioning. In addition, the publications are available in English on the IAEA's Internet site:http://www.iaea.org/Publications/index.html For further information, please contact the IAEA at PO Box 100, Vienna International Centre, 1400 Vienna, Austria.All users of the IAEA Nuclear Energy Series publications are invited to inform the IAEA of experience in their use for the purpose of ensuring that they continue to meet user needs. Information may be provided via the IAEA Internet site, by post, at the address given above, or by email to Official.Mail@iaea.org. ADVANCES IN AIRBORNE AND GROUND GEOPHYSICAL METHODS FOR URANIUM EXPLORATION FOREWORDOne of the IAEA's statutory objectives is to "seek to accelerate and enlarge the contribution of atomic energy to peace, health and prosperity throughout the world". One way this objective is achieved is through the publication of a range of technical series. Two of these are the IAEA Nuclear Energy Series and the IAEA Safety Standards Series.According to Article III.A.6 of the IAEA Statute, the safety standards establish "standards of safety for protection of health and minimization of danger to life and property." The safety standards include the Safety Fundamentals, Safety Requirements and Safety Guides. These standards are written primarily in a regulatory style, and are binding on the IAEA for its own programmes. The principal users are the regulatory bodies in Member States and other national authorities.The IAEA Nuclear Energy Series comprises reports designed to encourage and assist R&D on, and application of, nuclear energy for peaceful uses. This includes practical examples to be used by owners and operators of utilities in Member States, imp...

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Section: Inversion Methodsmentioning

confidence: 99%

“…Data was collected using a helicopter airborne EM system [59]. A single line from this survey was inverted using three different approaches:…”

Section: Fig 18 An Example Of the 425 M 3-d Inversion Depth Slice Fmentioning

confidence: 99%

Correlation of radon and geomagnetic anomalies of the territory of Ukraine

Orlyuk¹,

Марченко²,

Yatsevsky³

2018

Dopov. Nac. akad. nauk Ukr.

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“…To obtain the geophysical data set, the simulated data were contaminated with noise consisting of (i) Gaussian 3 % noise contribution and (ii) "background" contribution with a value of 3 nV m −2 according to the noise model suggested by Auken et al (2008). The noise-perturbed data were subsequently processed as field data (Auken et al, 2009). …”

Section: Geophysical Data Setmentioning

confidence: 99%

Testing alternative uses of electromagnetic data to reduce the prediction error of groundwater models

Christensen¹,

Christensen²,

Ferré³

2016

Hydrol. Earth Syst. Sci.

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Abstract. In spite of geophysics being used increasingly, it is often unclear how and when the integration of geophysical data and models can best improve the construction and predictive capability of groundwater models. This paper uses a newly developed HYdrogeophysical TEst-Bench (HYTEB) that is a collection of geological, groundwater and geophysical modeling and inversion software to demonstrate alternative uses of electromagnetic (EM) data for groundwater modeling in a hydrogeological environment consisting of various types of glacial deposits with typical hydraulic conductivities and electrical resistivities covering impermeable bedrock with low resistivity (clay). The synthetic 3-D reference system is designed so that there is a perfect relationship between hydraulic conductivity and electrical resistivity. For this system it is investigated to what extent groundwater model calibration and, often more importantly, model predictions can be improved by including in the calibration process electrical resistivity estimates obtained from TEM data. In all calibration cases, the hydraulic conductivity field is highly parameterized and the estimation is stabilized by (in most cases) geophysics-based regularization.For the studied system and inversion approaches it is found that resistivities estimated by sequential hydrogeophysical inversion (SHI) or joint hydrogeophysical inversion (JHI) should be used with caution as estimators of hydraulic conductivity or as regularization means for subsequent hydrological inversion. The limited groundwater model improvement obtained by using the geophysical data probably mainly arises from the way these data are used here: the alternative inversion approaches propagate geophysical estimation errors into the hydrologic model parameters. It was expected that JHI would compensate for this, but the hydrologic data were apparently insufficient to secure such compensation. With respect to reducing model prediction error, it depends on the type of prediction whether it has value to include geophysics in a joint or sequential hydrogeophysical model calibration. It is found that all calibrated models are good predictors of hydraulic head. When the stress situation is changed from that of the hydrologic calibration data, then all models make biased predictions of head change. All calibrated models turn out to be very poor predictors of the pumping well's recharge area and groundwater age. The reason for this is that distributed recharge is parameterized as depending on estimated hydraulic conductivity of the upper model layer, which tends to be underestimated. Another important insight from our analysis is thus that either recharge should be parameterized and estimated in a different way, or other types of data should be added to better constrain the recharge estimates.

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“…With airborne electromagnetic data gathering, noise mixed in airborne electromagnetic data must be considered and which directly influences effective time window of airborne electromagnetic data and data inversion, especially influences reliability of late time data reflecting the Earth's depth information. In recent years, with rapid development of computer and signal processing technology, a various kind of signal denoising methods in airborne electromagnetic data are developed by scholars at home and abroad [1,2]. For example, Sefric noise was reduced by pruning (Macnae, 1984), non-linear filtering (Lane, 1998), robust stastical method (Buselli, 1996), prediction of neural network according to ground sferic recording reference (Buselli, 1998), and wavelet transform (Lane 2000;Ridsdill 1999) [3,4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

Application on Polynomial Approximation Method in Airborne Geological Exploration

Yin¹,

Lin²

2013

JESTR

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Coil motion noise is the main noise source in AEM data caused by the movement of the receiver coil in the Earth's magnetic field. The characteristics of both time domain and frequency domain of motion noise are analyzed. In this paper we present a scheme of removing motion noise which employs polynomial to represent motion noise for each half cycle. A set of equations are set up according to the characteristics of AEM data, and Lagrange method is employed to solve minimum problem with two constraint conditions together. The polynomial coefficients are calculated by matrix inverse and finally motion noise is subtracted from the AEM data half cycle by half cycle. Polynomial approximation method is applied to the synthetic data contaminated by low frequency motion noise comparing with traditional high pass filter method. The corrected AEM data shows polynomial approximation method is more effective in dealing with motion noise.

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An integrated processing scheme for high-resolution airborne electromagnetic surveys, the SkyTEM system

Cited by 181 publications

References 12 publications

Correlation of radon and geomagnetic anomalies of the territory of Ukraine

Correlation of radon and geomagnetic anomalies of the territory of Ukraine

Testing alternative uses of electromagnetic data to reduce the prediction error of groundwater models

Application on Polynomial Approximation Method in Airborne Geological Exploration

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