What is it about?

Assessment of the internal structure of rock samples is critical for designing subsampling plans and integration with other measurements for interpretation. We examine a statistical computational tomographic imaging techniques of whole core samples using sparse measurements, which enable use of industrial on-site instrumentation.

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Why is it important?

Our study shows that a statistical computational tomography technique enables use of portable instrumentation, which acquires sparse and noise contaminated measurements.


Writing this article was a collaborative effort by co-authors with diverse background and experience in mathematics, x-ray tomography technology, and oil and gas exploration. We hope that readers find this application relevant to oil and gas exploration as well as mining with the main intent of increasing efficiency and constrainning uncertainty in rock sample analysis.

Alberto Mendoza
The Alan Turing Institute

Read the Original

This page is a summary of: Statistical methods to enable practical on-site tomographic imaging of whole-core samples, Geophysics, May 2019, Society of Exploration Geophysicists, DOI: 10.1190/geo2018-0436.1.
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