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Accelerating flow propagator measurements for the investigation of reactive transport in porous media.

Published version
Peer-reviewed

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Authors

Colbourne, AA 
Sederman, AJ 
Mantle, MD 
Gladden, LF 

Abstract

NMR propagator measurements are widely used for identifying the distribution of molecular displacements over a given observation time, characterising a flowing system. However, where high q-space resolution is required, the experiments are time consuming and therefore unsuited to the study of dynamic systems. Here, it is shown that with an appropriately sampled subset of the q-space points in a high-resolution flow propagator measurement, one can quickly and robustly reconstruct the fully sampled propagator through interpolation of the acquired raw data. It was found that exponentially sampling ∼4% of the original data-points allowed a reconstruction with the deviation from the fully sampled propagator below the noise level, in this case reducing the required experimental time from ∼2.8h to <7min. As a demonstration, this approach is applied to observe the temporal evolution of the reactive flow of acid through an Estaillades rock core plug. It is shown that 'wormhole' formation in the rock core plug provides a channel for liquid flow such that the remaining pore space is by-passed, thereby causing the flow velocity of the liquid in the remaining part of the plug to become stagnant. The propagator measurements are supported by both 1D profiles and 2D imaging data. Such insights are of importance in understanding well acidisation and CO2 sequestration processes.

Description

Keywords

Dissolution, Interpolation, MRI, NMR, Porous media, Propagator, Reactive flow, Rock

Journal Title

J Magn Reson

Conference Name

Journal ISSN

1090-7807
1096-0856

Volume Title

272

Publisher

Elsevier BV
Sponsorship
Engineering and Physical Sciences Research Council (EP/K039318/1)
Engineering and Physical Sciences Research Council (EP/L012251/1)
The authors acknowledge Dr M. Benning for discussions relating to compressed sensing and the EPSRC for funding (grant numbers EP/L012251/1 and EP/K039318/1).
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