Functionality, features and workflows
Thalweg Tracker: Geobodies Extraction tool
- Written by: Hesham Refayee
A unique piece of functionality in OpendTect Pro is the Thalweg tracker.
A Thalweg tracker is a 3D amplitude tracker that grows 3D bodies along the path of least resistance. The tracker has two main applications:
- to detect and isolate 3D bodies of sedimentary features such as channels, lobes, splays, and reef buildups, and
- to create labels for supervised Machine Learning seismic facies segmentation workflows.
OpendTect vs OpendTect Pro
- Written by: Marieke van Hout
In this video Paul de Groot from dGB Earth Sciences explains the main differences between the free platform OpendTect and our commercial platform OpendTect Pro.
Integrated Machine Learning Rock Property Prediction Workflow
- Written by: Hesham Refayee
OpendTect allows geoscientists to integrate and transform data from 1 D model to a predicted 3D rock property cube.
Read more: Integrated Machine Learning Rock Property Prediction Workflow
Fault Dip and Azimuth for Machine Learning Fault Likelihood
- Written by: Paul de Groot
In today’s post we share an elegant workflow proposed by Roar Heggland of Equinor ASA to compute Fault Dip and Fault Azimuth for Machine Learning predicted Fault Likelihood (ML-FL).
Read more: Fault Dip and Azimuth for Machine Learning Fault Likelihood
Removing noise and artifacts from (Thinned) Fault Likelihood
- Written by: Marieke van Hout
Fault Likelihood (FL) and its derivative Thinned Fault Likelihood (TFL) facilitate structural interpretation. Both volumes have three components: Fault Likelihood, Fault Dip and Fault Azimuth and both can be used as input for Automatic Fault plane Extraction (AFE). However, we recommend to use FL as input to AFE.
Read more: Removing noise and artifacts from (Thinned) Fault Likelihood