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...
The GeoTeric 2017.2 release not only included the release of the Adaptive Faults as part of our Adaptive Interpretation System, but also the ability to load and visualise data in floating point. The ability to load geophysical volumes such as Vp/Vs and Acoustic Impedance volumes with their original values allows interpreters to extend their subsurface analysis capabilities in GeoTeric.
GeoTeric’s Adaptive Fault Interpretation provides a fast and accurate interpretation system which improves the efficiency of your fault interpretation.
The Adaptive Faults are data following fault sticks, which snap to discontinuities in reflectivity data, attributes or CMY Blends. With just 2 clicks of the mouse you can have an accurate fault stick. The Graph Theory looks at how similar the attribute, or break in the seismic data is from the background and determines the best route from first click to where the cursor is located.
To start interpreting the faults, click on the Interpret module (figure 1) or right click in the 3D scene and select Adaptive Faults. Either option will bring up the main Interpretation menu in the 3D scene.
GeoTeric 2017.2 continues to expand on our Adaptive Interpretation system by introducing Adaptive Fault Interpretation.
In the previous post we covered the basics of using GeoTeric’s Fault Expression tool. The aim of that post was to take the user through all of the steps required to produce a reasonable first pass product. However there are also many variations and optimisation methods that can be used to give you different options based on the data you are working with.
GeoTeric’s Fault Expression is an intuitive and flexible tool that allows the user to produce fault attributes, blends and detect volumes in one simple workflow. By providing a range of different parameters, the results can be optimized for any size or style of fault. In this blog post, we will go through the process for successfully producing all of the products available in Fault Expression. Later posts will focus on optimizing for different types of faults.
In the previous Geobodies instalment, a geobody was created using a Standard Frequency Decomposition (FD) blend as this technique is useful in identifying subtle changes within a geological feature. In this post, an Adaptive Geobody will be created using a High Definition Frequency Decomposition (HDFD) blend. The matching pursuit techniques used in GeoTeric’s HDFD blending generates frequency decomposition results as close to seismic resolution as possible. This improvement in vertical/temporal resolution is traded off in terms of accuracy of frequency resolution.
The Adaptive Geobodies tool tool is based on generating delineating geological deposits from data values using model based delineation. It is a powerful and flexible tool which can be used in multiple ways. The basic techniques will be shown below and in this instalment the benefits of using a Standard Frequency Decomposition blends for creating geobodies.
The benefits of the different Blending techniques were outlines in the previous blog posts and here we will look at using the Standard blending method to extract geological features. The Constant Bandwidth and Uniform/Exponential Constant Q are useful reconnaissance blends as they have very good frequency resolution but poorer temporal resolution. As a result it is possible to identify subtle frequency differences within these blends and subsequently extract them with the Adaptive Geobodies workflow.
To adjust the level of resources used by GeoTeric for visualizing and managing those horizons to suit the objective, it is possible to control the horizon mesh density from the Horizon Points options.
By Randy Hee and Rachael Moore
Coherence cubes calculated from 3D seismic provide a representation of the similarity (or dissimilarity) of the seismic waveforms and are therefore indicators of discontinuities in the seismic volume. One of the most common coherency algorithm employed is the well-known semblance, multi-trace correlation calculation (Marfurt et al., 1998) which identifies discontinuities and reflector distortions within the data.
To gain a better understanding of the subsurface, start your Cognitive Interpretation workflow by correlating the well markers and lithologies between wells in GeoTeric. This will give you a better understanding of how the stratigraphy changes between wells before revealing the geology with Frequency Decomposition.
Our latest download draws together insights from geoscientists and academics to show how GeoTeric's unique Cognitive Interpretation methodology enhances the seismic interpretation process.