Basic HTML Version
Ecrin v4.12 -
© KAPPA 1988-2009
Diamant Guided Session #1
•
DmtGS01 - 12/18
Doc v4.12.02 -
The next step,
, consists of pre-loading part of the data, a number of points is
entered (see Figure C01.12). Leave the default 100,000 and click
at the bottom of
the dialog to continue.
This real set of data starts with a gap of more than the imposed condition (1 hour here)
between the first point and the remaining one which makes the first pre-load to fail. It will
automatically switch to the next available portion of data satisfying the preload conditions.
Accept the warning and press OK to go to the following data interval.
The data are displayed and will undergo three steps: Re-sample / Denoise with wavelets /
Post-filtration. The wavelet algorithm requires that the data be re-sampled evenly, and the
sampling interval typically depends on the application type. For welltests, the minimum delta
time may be used. For production data, a large time step is usually sufficient. An Intermediate
value (15 sec) by default should provide a good compromise for both applications.
On the pre-loaded set, the wavelet algorithm is tuned (filter level wheel), and finally the post-
filtration is set using default values. In this example we leave the filter level at zero. Click on
the 'TEST' button and it can be seen, figures below, that out of the 23040 points in the
window, 1422 are selected in the end.
Note:
the 'Keep local extrema' option should not be checked.
On the following right bottom view (Figure C01.14 Load Data – Active Filtration), the difference
between the original and filtered sets is displayed.
Fig. C01.13 • Load Data – Filters
Fig. C01.14 • Load Data – Active Filtration
Once the filter parameters are selected the file can be loaded by parts of 100,000 points.
Select the
button at the bottom right of the dialog. For each new interval, the filter
is applied, and the new section is visualized on the screen as can be seen on Figure C01.15.