# Archive of the 3 Phase Oil Data

The 3 phase oil data was data used to demonstrate models like the GTM.
The page where it was hosted
http://www.ncrg.aston.ac.uk/GTM/3PhaseData.html seems to have
disappeared, so I’m putting links to the parts I have here. This
information comes to you courtesy of the Wayback machine
(http://www.archive.org).

Here is the original text from the page (the links won’t work apart from
those to the data set).:

## 3 Phase Data

### Description

This is synthetic data modelling non-intrusive measurements on a
pipe-line transporting a mixture of oil, water and gas. The flow in the
pipe takes one out of three possible configurations: horizontally
stratified, nested annular or homogeneous mixture flow. The data lives
in a 12-dimensional measurement space, but for each configuration, there
is only two degrees of freedom: the fraction of water and the fraction
of oil. (The fraction of gas is redundant, since the three fractions
must sum to one.) Hence, the data lives on a number of ‘sheets’ which
locally are approximately 2-dimensional.

At the moment, there is no further information online. Even the old
Aston paper repository has disappeared so I can’t any longer link to the
papers that used the data from there.

### Details

The data is available either as a tar-file containing compressed ASCII
files, or as a compressed MATLAB (R) workspace. The files/variables
contain:

- Data*, 1000 measurements, 1000-by-12
- Data*Frctns, the corresponding fractions of water and oil (in that
order), 1000-by-2
- Data*Lbls, the corresponding configuration labels, given in a
1-of-3 coding scheme, where
- [1 0 0] == Homogeneous configuration
- [0 1 0] == Annular configuration
- [0 0 1] == Stratified configuration

1000-by-3

’*’ above is replaced by ‘Trn’, ‘Vdn’, and ‘Tst’, which are meant to
correspond to training, validation and test data; the three file sets
all contain 1000 samples. The fractions and configurations are picked at
random from corresponding uniform distributions.
gzipped tar-file\
gzipped MATLAB workspace

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Copyright © Markus Svensén 1996