Joint 3D of muon tomography and gravity data to recover density

Davis, Kristofer; Oldenburg, Douglas W.

doi:10.1071/aseg2012ab172

Cited by 11 publications

(13 citation statements)

References 9 publications

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“…This method follows work by Oldenberg and Davis (Oldenburg D, Davis K and Kaminski V (2010), unpublished communication.) [37]. The exponents q w and p are in the range (1,2], with smaller values allowing for more complex (less smooth) models.…”

Section: Methodsmentioning

confidence: 99%

Muon geotomography: selected case studies

Schouten¹

2018

Phil. Trans. R. Soc. A.

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Section: Methodsmentioning

confidence: 99%

Muon geotomography: selected case studies

Schouten¹

2018

Phil. Trans. R. Soc. A.

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“…More recently, Davis and Oldenburg (2012) and Nishiyama et al (2014) presented joined inversions of gravity data and muon tomography using a straightforward linear regularized inversion based on block models. In the present study, we develop a quantitative methodology to examine how information brought by gravimetry data and by muon radiography may be joined to improve the resolution of density models of highly heterogeneous structures like altered active volcanoes.…”

Section: Introductionmentioning

confidence: 99%

Improvement of density models of geological structures by fusion of gravity data and cosmic muon radiographies

Jourde

Gibert

Marteau

2015

Geosci. Instrum. Method. Data Syst.

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Abstract. This paper examines how the resolution of smallscale geological density models is improved through the fusion of information provided by gravity measurements and density muon radiographies. Muon radiography aims at determining the density of geological bodies by measuring their screening effect on the natural flux of cosmic muons. Muon radiography essentially works like a medical X-ray scan and integrates density information along elongated narrow conical volumes. Gravity measurements are linked to density by a 3-D integration encompassing the whole studied domain. We establish the mathematical expressions of these integration formulas -called acquisition kernels -and derive the resolving kernels that are spatial filters relating the true unknown density structure to the density distribution actually recovered from the available data. The resolving kernel approach allows one to quantitatively describe the improvement of the resolution of the density models achieved by merging gravity data and muon radiographies. The method developed in this paper may be used to optimally design the geometry of the field measurements to be performed in order to obtain a given spatial resolution pattern of the density model to be constructed. The resolving kernels derived in the joined muon-gravimetry case indicate that gravity data are almost useless for constraining the density structure in regions sampled by more than two muon tomography acquisitions. Interestingly, the resolution in deeper regions not sampled by muon tomography is significantly improved by joining the two techniques. The method is illustrated with examples for the La Soufrière volcano of Guadeloupe.

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“…Setting r,x,y,z = 0 disables the respective parts of the model objective function. This method follows the work of Oldenburg et al (2010), Davis and Oldenburg (2012), and Bryman et al (2014). The exponents q w and p are in the range (1, 2], with smaller values allowing for more complex (less smooth) models.…”

Section: Three-dimensional Density Inversionmentioning

confidence: 99%

Muon Tomography Applied to a Dense Uranium Deposit at the McArthur River Mine

Schouten¹,

Ledru²

2018

JGR Solid Earth

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This article reports on the first application of muon tomography (a novel method for imaging density contrasts underground using cosmic rays) for imaging dense uranium deposits within the Athabasca Basin in Canada. We present a qualitative assessment of the radiographic imaging and 3‐D density inversion of a uranium deposit using muon tomography. The muon tomography survey summarized in this article was performed at the McArthur River mine. We demonstrate the validity of muon tomographic imaging with data acquired at a depth of about 600 m underground. The statistical significance of the uranium deposit signature in the muon data was larger than 5 standard deviations, and the corresponding 3‐D density inversion compared well with drill assay data from the deposit.

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Joint 3D of muon tomography and gravity data to recover density

Cited by 11 publications

References 9 publications

Muon geotomography: selected case studies

Muon geotomography: selected case studies

Improvement of density models of geological structures by fusion of gravity data and cosmic muon radiographies

Muon Tomography Applied to a Dense Uranium Deposit at the McArthur River Mine

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