Blog
Release of the Bayesian Linear Inversion plugin by LTrace for OpendTect 7.0
- Written by: Arnaud Huck
We are pleased to announce the availability of the Bayesian Linear Inversion plugin from LTrace for OpendTect 7.0, on Linux and Windows. The plugin can be installed by running the OpendTect installer and adding the plugin to the list of installed packages.
Read more: Release of the Bayesian Linear Inversion plugin by LTrace for OpendTect 7.0
Lessons learnt for tuning a Machine Learning fault prediction model
- Written by: Marieke van Hout
Lessons learnt for tuning a Machine Learning fault prediction model
We have an article in the First Break magazine from the EAGE (European Association of Geoscientists and Engineers) this month.
Read more: Lessons learnt for tuning a Machine Learning fault prediction model
OpendTect 7.0.4 is here!
- Written by: Arnaud Huck
We're excited to unveil the latest update to our robust OpendTect software, version 7.0. Continuously evolving with enhanced features and functionalities, this release packs a punch with several noteworthy additions:
OpendTect Patch Release 7.0.4
- Written by: Arnaud Huck
Dear OpendTect Users,
We have made a patch release for our latest stable version: OpendTect 7.0.4, which is now available for installation/update.
We're thrilled to unveil our brand-new website: dgbes.com
- Written by: Marieke van Hout
The modern user-friendly interface makes it easy to navigate and find all the latest news on OpendTect.
Read more: We're thrilled to unveil our brand-new website: dgbes.com
Missed our enlightening webinar last Thursday on the odbind Python Module, an open-source Python binding to OpendTect project data?
- Written by: Marieke van Hout
Check out the recording here: OpendTect Webinar: odbind Python module an open source Python binding to OpendTect project data
In this webinar, Wayne Mogg, an OpendTect power user and programming guru, takes you through the odbind Python Module. He demonstrates how you can leverage this new technology to effortlessly access OpendTect seismic and well data directly from a Jupyter notebook.
Creating labels for supervised geoscience applications
- Written by: Marieke van Hout
Supervised Learning is learning by example. It requires a training set with examples of input data tied to known output. The process of linking input to output is called "labeling".
In OpendTect, we support four key labeling methods for applications involving seismic and well data:
Read more: Creating labels for supervised geoscience applications
odbind Python Module - an open source Python binding to OpendTect project data
- Written by: Marieke van Hout
Free webinar - Thursday 18 January - 11 am CET by Wayne Mogg
You can register now.
Read more: odbind Python Module - an open source Python binding to OpendTect project data
OpendTect v7.0.3 includes the first release of the AWS plugin
- Written by: Nanne Hemstra
As mentioned in last week's LinkedIn post, OpendTect v7.0.3 includes the first release of the AWS plugin. This plugin enables users not only to import from and export to S3 storage, but also to stream seismic data directly into OpendTect. Running OpendTect from an EC2 instance gives obviously the best performance, but all functionality works on premise as well.
Read more: OpendTect v7.0.3 includes the first release of the AWS plugin