When working with color blends of any type, it is best practice to interpret directly in GeoTeric to maintain quality and color intensity. As third-party software differs, quality and visualization will often be impacted following blend transfer. However, we do understand there is often a requirem...
When working with color blends of any type, it is best practice to interpret directly in GeoTeric to maintain quality and color intensity. As third-party software differs, quality and visualization will often be impacted following blend transfer. However, we do understand there is often a requirement to transfer color blends to Petrel® and therefore we’ve explored how color blends can be visualized and used in Petrel.
Available 7 January 2019, the 2018.2 release from GeoTeric provides you with enhanced functionality and an improved user interface. Here is an overview of what you can expect to see;
For a faster way of screening anomalies to confidently interpret your geology, GeoTeric incorporates RMS amplitude calculations in the iso-proportional slicing tool and also allows the creation of a volumetric RMS cube using processes and workflows. Learn more and follow our step by step guide to create an RMS volume in your GeoTeric project.
Within GeoTerics’ Validate module it is possible to define rock properties from well logs to generate geologically accurate models. Once accurate rock properties are defined in a model, it is important to accurately replicate the geological scenario for which the model is testing. In some cases, using defined rock properties is not enough detail to replicate the geological depositional environment. To increase the accuracy of the model design it is possible to transition rock properties from one type to another.
One way to incorporate information from FMI logs into GeoTeric is to classify fault by their trend (orientation along strike). This will allow the user to quickly correlate the orientation of open fractures/faults from FMI logs to the seismic volume, gaining a better understanding of the direction of these fractures/faults.
The release of GeoTeric 2018.1.2 is out now - download the update today to gain access to its latest features. Key improvements include updates to the Link for Petrel, making the transfer of data quicker and easier for you to complete your workflows with GeoTeric.
GeoTeric 2018.1.2 introduced the ability to create a wedge model in Validate to estimate thickness from the RGB blends. Frequency responds to changes in lithology, which can be modelled using the Validate Layer Model, but also to changes in thickness. By creating wedge models, interpreters are now able to model thickness changes in an interval and determine which colours represent different thicknesses.
The latest GeoTeric patch contains extensions to our recently released Validate module as well as enhancements to the rest of the application.
One of the most popular applications of GeoTeric’s Reveal module is the Fault Expression. Its example driven framework enables rapid optimisation and co-visualisation (CMY blending) of three independent edge attributes ensuring that faults of different sizes and seismic expressions are identified and detected with confidence.
A great value of the Fault Expression tool is that the effects of the different parameters can be immediately assessed: there is no need for extensive testing and comparisons, because after adjusting the filter footprints, the resulting changes are seen in the preview window. However, there is a set of parameters, which are hard wired and cannot be changed. These are the fault enhancement filters, mentioned in fine print in the Detect tab of Fault Expression. Switching between the different preview swatches, we see that the detected faults are different, even without changing the detection filter parameters. So, what do these numbers in the brackets mean?
This is the second part of a two-part (part 1) blog post focusing on ‘Validate’, GeoTeric’s seismic forward modelling module that recently became available with the release of 2018.1. The tool is meant for interpreters to be able to easily test hypotheses by creating models that can be matched back to frequency decomposition results as well as reflectivity data.