Simulation of muon radiography for monitoring CO 2  stored in a geological reservoir

Klinger, J. A.; Clark, S. J.; Coleman, Max; Gluyas, Jon; Kudryavtsev, V. A.; Lincoln, D. L.; Pal, Sujay; Paling, S. M.; Spooner, N. J. C.; Telfer, S.; Thompson, L. F.; Woodward, David I.

doi:10.1016/j.ijggc.2015.09.010

Cited by 22 publications

(13 citation statements)

References 29 publications

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“…More sophisticated models have been applied in other papers, but at the expense of far higher computational overheads. (Klinger et al 2015;Gluyas et al 2018). The calculations were performed using real values for the Boulby site, as displayed in Table 1.…”

Section: Model Of Geology and Carbon Dioxide Injectionmentioning

confidence: 99%

“…Given the above advantages and disadvantages of the ray tracing method, it is best used to complement existing Monte Carlo methods. One approach would be to use it to calculate ζ nm coefficients, and thus construct a superior test statistic, but otherwise use the higher accuracy of Monte Carlo methods, as has been done in other papers (Klinger et al 2015;Gluyas et al 2018). Given that Monte Carlo methods are extremely computationally expensive (Gluyas et al 2018), the ray tracing method has a speed advantage, and so might also be better in situations where large numbers of simulations are required, such as optimizing detector arrangements.…”

Section: S U M M a Ry A N D C O N C L U S I O N Smentioning

confidence: 99%

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Optimizing geophysical muon radiography using information theory

Benton

Mitchell

Coleman

et al. 2019

Geophysical Journal International

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. S U M M A R YCosmic ray muons are highly penetrating, with some reaching several kilometres into solid rock. Consequently, muon detectors have been used to probe the interiors of large geological structures, by observing how the muon flux varies with direction of arrival. There is an increasing need to discriminate between materials differing only slightly in bulk density. A particularly demanding application is in monitoring underground reservoirs used for CO 2 capture and storage, where bulk density changes of approximately 1 per cent are anticipated. Muon arrival is a random process, and it is the underlying expectation values, not the actual muon counts, which provide information on the physical parameters of the system. It is therefore necessary to distinguish between differences in muon counts due to real geological features, and those arising from random error. This is crucial in the low-contrast case, where the method can reach the information theoretic limit of what a data source can reveal, even in principle. To this end, methods to analyse information availability in low-contrast muon radiography have been developed, as have means to optimally interpret the available data, both for radiography and for tomography. This includes a method for calculating expectation values of muon flux for a given geological model directly, complementing existing Monte Carlo techniques. A case study, using a model of carbon capture is presented. It is shown that the new data analysis techniques have the potential to approximately double the effective sensitivity of the detectors.

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Section: Model Of Geology and Carbon Dioxide Injectionmentioning

confidence: 99%

Section: S U M M a Ry A N D C O N C L U S I O N Smentioning

confidence: 99%

Optimizing geophysical muon radiography using information theory

Benton

Mitchell

Coleman

et al. 2019

Geophysical Journal International

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“…This company has been using muography to survey regions for mineral resource exploration. Five years later the Deep Carbon project was established at Durham University in collaboration with the University of Sheffield, University of Bath, Rutherford Appleton Laboratory, Jet Propulsion Laboratory, Cleveland Potash Limited, DECC and Premier Oil to explore the possibility of applications of muography to carbon capture and storage [22].…”

Section: Lateral Structure Of Muographersmentioning

confidence: 99%

Overview of muographers

Tanaka

Oláh

2018

Phil. Trans. R. Soc. A.

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By observing the growth of a research community, particularly the factors of size and strength of involvement, it is possible to evaluate the vitality of a new field. The emerging technology of muography, a new visualization technique to look through gigantic objects with an elementary particle called the muon, is the focus of this study. Recently, the initial applications of muography to the study of structures such as pyramids and volcanoes have been expanding to include more commercial interests such as inspecting social infrastructures and energy and mineral resources. Evolutions of the research networks of muography will be discussed with particular attention to the chronological and lateral structures that could be an indicator of the development of this new technology. This article is part of the Theo Murphy meeting issue ‘Cosmic-ray muography’.

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“…of the detector as a function of the water content inside the tower. Post-injection monitoring of CO 2 stored in subsurface locations was investigated by several authors [54][55][56] by means of muon tomography. Industrial applications have also seen contribution from muon tomography [57,58].…”

Section: Other Applicationsmentioning

confidence: 99%

Cosmic Ray Muons as Penetrating Probes to Explore the World around Us

Presti¹,

Riggi²

2018

Cosmic Rays

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Secondary cosmic muons provide a powerful probe to explore various aspects of the world around us. Various physical processes have been employed over the last years for such applications. Muon absorption was used to probe the interior of natural and man-made structures, from the Egypt pyramids to big volcanoes, contributing to interdisciplinary studies. Multiple scattering was employed to reconstruct the location of scattering centres, producing 2D and 3D images of the interior of hidden volumes (muon tomography). Additional possibilities of cosmic muons have been exploited even for the alignment of large civil structures and in the study of their stability. All these applications benefit from the development of advanced detection techniques and improvement in software algorithms. This contribution surveys the state of the art of these applications, with special emphasis on their possibilities and limitations.

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Simulation of muon radiography for monitoring CO 2 stored in a geological reservoir

Cited by 22 publications

References 29 publications

Optimizing geophysical muon radiography using information theory

Optimizing geophysical muon radiography using information theory

Overview of muographers

Cosmic Ray Muons as Penetrating Probes to Explore the World around Us

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