Get the most of Isatis from our How-to... fliers!
- How to ... remove quickly structurated noise from a seismic map or cube - PDF - 451.4 kb
- How to ... compute quickly a reliable trend - PDF - 586.3 kb
- How to ... characterize misties - PDF - 233.5 kb
We are now delivering fliers providing workflows for using Isatis in an optimal way.. The first fliers are meant for the Petroleum industry.
Already available:
How to... remove quickly structured noise from a seismic map or cube
Seismic data are often polluted by acquisition or processing artifacts
which should be removed as they may have a negative impact on
subsequent seismic processing or interpretation processes.
The flier describes an Isatis solution for removing quickly and
efficiently artifacts – structured (acquisition footprint, patterns
due to oriented processing windows, etc.) or not (white noise) – from
a seismic map or cube while preserving fully the signal resolution.

How to... compute quickly a reliable trend
Spatial data sets show sometimes non-stationary properties, which can be
explained by natural phenomena. For example, underground rock velocity increases with depth in consequence of sediments compaction.
Extracting a trend (low frequency component, very large scale variations) from a data set can be useful for many reasons: the trend can be used as input into a modeling process, it can be used to compute then work on stationary residuals, etc.
The flier describes an Isatis solution for computing quickly a reliable trend from any data set, 2D or 3D, dense or not, regularly or irregularly sampled (scatter).

How to... characterize misties
As acquisition and seismic processing parameters may differ from one seismic line to the other, 2D seismic data sets are often affected by misties, i.e. incoherencies at lines intersections.
The flier describes an Isatis solution for characterizing misties.



