Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
University of Cambridge
Article title
Grain Sizing in Porous Media using Bayesian Magnetic Resonance
Type
D - Journal article
Title of journal
PHYSICAL REVIEW LETTERS
Article number
ARTN 018001
Volume number
110
Issue number
1
First page of article
-
ISSN of journal
0031-9007
Year of publication
2013
Number of additional authors
3
Additional information
Having exploited the Bayesian methodology for sizing spherical objects using magnetic resonance in characterising bubble sizes, the method was translated to the characterisation of grain size in rock cores. Dr Mitchell is fully funded by Schlumberger Gould research and works 50:50 in our lab and Schlumberger Gould Research. The success of this work means that it may be possible to implement this measurement on commercial logging tools - such as those developed by SGR. A patent application (61616280) arising from this work is held jointly by Gladden, Holland and Mitchell.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
