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Come see us at this year's International Meeting of Applied Geoscience and Energy August 28th - September 1st, 2022 in Houston Texas Booth #1216

Kristoffer Rimaila and Nanne Hemstra will present live demos on the latest developments in OpendTect. They will also showcase version 7, which will be released later this year.

Free webinar Thursday 25 August - 4pm CET

In this webinar we will demonstrate how you can use OpendTect functionality directly in Petrel or how you can copy data across if you don't want to tie the Petrel license.

Did you know that in addition to creating great software, the dGB team also offers services in the form of software training, project management and execution as well as consultancy services. If you have a tough nut to crack, we’d love to hear from you!

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.

This is the third and last post in our series on trained Machine Learning models developed by Lundin GeoLab that are released in OpendTect’s Machine Learning library. Two weeks ago, we presented SimpleHmult, a model to attenuate horizontal multiples. In last week’s post we showed an example of the application of Desmile, a model to remove migration smiles.

Last week we proudly announced the release of four stunning, pre-trained models from Lundin GeoLab in OpendTect’s Machine Learning solution. In last week’s blog post, we showed an example of one of these models: SimpleHmult, a 3D Unet model that attenuates horizontal multiples.

As of version 6.6.8, OpendTect’s library of pre-trained models boasts 4 spectaculair seismic enhancement models developed by Lundin’s GeoLab R&D group:

  • Desmile: This model removes steeply dipping noise and smile artefacts
  • SimpleHmult: Attenuates horizontal multiples
  • AJAX: Enhances the visual quality and interpretability
  • SimpleDeNoise: Removes “salt & pepper / jitter” noise.

Dear OpendTect Users,

We have made a patch release for our latest stable version: OpendTect 6.6.8, which is now available for installation/update.

With the addition of the Machine Learning Professional plug-in, OpendTect development is further extended by allowing Python as an additional development environment. Starting from within OpendTect, a Python shell, or integrated development environment (IDE), can be launched, and one with direct access to the OpendTect-Python link, libraries and data structures that are a pre-requisite to further research and development. An advantage of Python is its flexibility, and the ability to add new tools and libraries from the command line, so, even this environment can be easily customized with additional analytics libraries. Recently we have added extended support for PyTorch, on top of our already extensive Tensorflow/Keras and scikit-learn support.

Dip Steering is a commercial plugin of OpendTect Pro for computing and using dip and azimuth volumes (Steering Cubes) from seismic data. This powerful tool enables users to:

  • Apply structurally oriented filters
  • Extract mult-trace attributes along seismic reflectors
  • Compute volume curvature attributes
  • Extract horizons individually, or as a dense set (HorizonCube) using inversion-based flattening algorithms.