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dGB Earth Sciences OpendTect v7.0.4 x64

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cadcamaec@protonmail.com2024-02-17Geology.Oil.Gas,Petro119

OpendTectisafree,open-sourceseismicinterpretationsystemforvisualizing,analyzingandinterp

OpendTect is a free, open-source seismic interpretation system for visualizing, analyzing and interpreting 2D, 3D and 4D seismic data. It is also widely used for Geo-Radar interpretation. OpendTect is released under the GNU Public License (GPLv3 or higher).

OpendTect is also a software development environment for fast-track development of new plugins (in C++). Third-party developers can choose to develop under the GPL license. If so, derived products must be released as open-source plugins (copy-left principle). Alternatively, developers can opt to develop under the OpendTect Pro license agreement, which permits development of closed source plugins. Code developed in Matlab and Python can be integrated into OpendTect. For more information, please visit the software development page.

"dGB's business model promotes sharing ideas and advancing technology together."
--Jean-Francois Dutzer, Geophysics R&D Manager, GdF-Suez

"OpendTect was one of the keys of success of our IBA teams who could secure second place in the regional competition for this year 2020 and the first place for the past three years."
--Mohammed Farfour, PhD Earth Science Department, Sultan Qaboos University..................

System Requirements
OS:10/11, older Windows versions may work, but are no longer tested.
CPU:Intel/AMD, 64 bits
GPU:Basic Intel graphics cards or Nvidia (e.g. recent GeForce/Quadro/NVS series) graphics cards; AMD graphics cards may work.
Memory:DDR4 memory, 16 GB of RAM, OpendTect itself needs at least 2 GB RAM. Therefore, 16 GB will almost certainly be the absolute minimum.
Storage:SSD is best, other good options are Hard Disk and Network Drive.
This is usually under-valued, but it's often the crucial performance component. SSD disks will give a tremendous boost in performance; essentially, data on SSD disks loads almost as fast as pre-loaded, in-memory data. Performance could be miserable if data needed to stream through (relatively) slow disks and/or networks.