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![Introducing our new Pre-trained Fault model (Fault Net)](/images/blog/blog-2023-09-21-introducting-our-new-pre-trained-fault-model-fault-net.jpg)
Introducing our new Pre-trained Fault model (Fault Net)
- Written by: Paul de Groot
dGB Earth Sciences is thrilled to unveil the latest addition to our Machine Learning library - a state-of-the-art pre-trained model that is designed to predict faults and fractures in 2D/3D seismic data.
Read more: Introducing our new Pre-trained Fault model (Fault Net)
![Optimizing Thinned Fault Likelihood (TFL) through Advanced Filtering and Computing RMS of TFL](/images/blog/blog-2023-09-14-optimizing-thinned-fault-likelihood-through-advanced-filtering-and-computing-rms-of-tfl.jpg)
Optimizing Thinned Fault Likelihood (TFL) through Advanced Filtering and Computing RMS of TFL
- Written by: Marieke van Hout
In our latest video, we break down the workflow to enhance the Thinned Fault Likelihood (TFL) using a two-step approach: Filtering and Computing RMS of TFL.
![Machine Learning Data Enhancement of 2D Seismic](/images/blog/blog-2023-09-07-machine-learning-data-enhancement-of-2d-seismic.jpg)
Machine Learning Data Enhancement of 2D Seismic
- Written by: Paul de Groot
OpendTect’s library of trained Machine Learning models supports a set of powerful models for quickly enhancing post-stack 3D seismic data.
For example, there are models for removing random noise; suppressing horizontal multiples; predicting fault likelihood; interpolating missing traces and for improving the interpretability of seismic data.
![OpendTect Patch Release 7.0.2](/images/blog/blog-2023-08-28-opendtect-patch-release-702.png)
OpendTect Patch Release 7.0.2
- Written by: Arnaud Huck
Dear OpendTect Users,
We have made a patch release for our latest stable version: OpendTect 7.0.2, which is now available for installation/update.
![Come see us at IMAGE ‘23 and check out what’s new in OpendTect 7!](/images/blog/blog-2023-08-17-come-see-us-at-image-23-and-check-out-whats-new-in-opendtect-7.jpg)
Come see us at IMAGE ‘23 and check out what’s new in OpendTect 7!
- Written by: Kristoffer Rimaila
dGB Earth Sciences will be at the IMAGE conference in Houston, August 28 - 31. Swing by booth #1737 to see our latest developments in the Machine Learning plugin, see how the latest OSDU features like data transfer are speeding up and simplifying data I/O, or come talk to us about anything OpendTect-related (or unrelated).
Read more: Come see us at IMAGE ‘23 and check out what’s new in OpendTect 7!
![Demystify Complex Chained Attributes with Data Flow Visualization in OpendTect](/images/blog/blog-2023-08-10-demystify-complex-chained-attributes-with-data-flow-visualization-in-opendtect.jpg)
Demystify Complex Chained Attributes with Data Flow Visualization in OpendTect
- Written by: Paul de Groot
OpendTect’s attribute engine stands out due to its ability to compute attributes-from-attributes both on-the-fly and in batch-mode. Such capability lets users craft intricate chained attributes and filters. However, as these chains grow, they become more intricate, making it challenging to decipher their computation process.
Read more: Demystify Complex Chained Attributes with Data Flow Visualization in OpendTect
![OpendTect Patch Release 7.0.2](/images/blog/blog-2023-07-27-opendtect-patch-release-701.png)
OpendTect Patch Release 7.0.1
- Written by: Raman Singh
Dear OpendTect Users,
We have made a patch release for our latest stable version: OpendTect 7.0.1, which is now available for installation/update.
![](/images/blog/blog-2023-07-27-opendtect-noise-filters-comparison-cast-your-preference.jpg)
OpendTect Noise Filters Comparison: Cast your preference
- Written by: Paul de Groot
This week we want to show you an example of the 4th Lundin model 'Lundin_GeoLab_SimpleDenoise". We believe this model is applicable to almost all datasets. Unlike the AJAX model, the SimpleDenoise model preserves the amplitude - frequency content. It only removes random noise.
Read more: OpendTect Noise Filters Comparison: Cast your preference
![](/images/blog/blog-2023-07-20-pioneering-in-machine-learning.jpg)
Pioneering in Machine Learning
- Written by: Paul de Groot
With over 30 years of experience in Machine Learning, dGB Earth Sciences continues to innovate in the field of seismic reservoir characterization.
Today, we take a trip down memory lane to showcase our journey and highlight our latest breakthroughs.