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GDI 3.2 highlights

 

3D Simulation cubes
A facility to store pseudo-wells in a 3D cube for visualization in OpendTect (see image). Typically used for sensitivity analysis whereby two parameters are varied in a controlled way.

Depth survey support
Seismic surveys do not have to be in Time any more. GDI v3.2 can handle 3D data in depth.

OpendTect horizon grid I/O
Horizons can now easily be exchanged between OpendTect and GDI.

 

GDI 3.1 highlights

 

GDI v3.1 for Sun-Solaris and PC-Linux systems was released May 2003. This release offers a new well data loading module (see image), support of the data access module on PC-Linux and a new connection between GDI and OpendTect. Documentation has been updated with descriptions of the latest features.

Well data loading module
Well data loading in GDI requires blocking of logs and assigning UnitIDs to the blocked layers. This procedure has now been captured in a modern user interface. The batch facilities that were used in previous versions can still be used as an alternative. The new well data loader will lower the threshold for starting up new projects.

Data access module on PC-Linux
GDI's data access module is now also supported on PC-Linux (GDI on Linux, OpenWorks or GeoFrame/IESX on Solaris). The module is based on the IdealLink software from UK-based software providers ARKCLS. The module released in GDI v3.1 supports read and write access of seismic data to and from Landmark's OpenWorks or GeoQuest's GeoFrame/IESX data store. Horizon and well data access will follow soon. This module is not part of the standard M&S scheme for GDI. Please This email address is being protected from spam bots, you need Javascript enabled to view it for terms and conditions.

GDI - OpendTect connection
It is now possible to apply trained GDI neural networks in OpendTect. The trained network will substitute GDI input attributes with the equivalent OpendTect attributes. Output cubes must be generated in GDI for attributes that are unique to GDI. The new connection is made to avoid the laborious merging of (very large) feature sets in GDI before you can apply a trained neural network. OpendTect can handle multiple input volumes and supports on-the-fly calculations.