Auditable volumetrics for fast and effective evaluation of hydrocarbon resources Within the newest release 2018.2, GeoTeric is enhancing the exploration workflow by introducing a ‘Volumetrics’ tool which allows calculation of oil and gas resource estimates at any point during horizon interpretation ...
Tracking and Fill Modes
GeoTeric’s Adaptive Horizons have a variety of tracking and fill modes to allow the interpreter to extract a horizons surface in a fast and accurate way, while being cognitively intuitive. GeoTeric’s tracking modes are interactive as all the possible routes through the data are determined using Graph Theory, and can be previewed in both the 3D viewer and in the 2D Interpretation window. The Fill modes can be easily chosen in the Base Map window or in the 3D window if tracking on a probe.
As part of the Cognitive Interpretation workflow, GeoTeric’s new Adaptive Horizons use Regional Structural Awareness to create the fastest and most accurate 3D seismic interpretation. Any seismic, attribute or HSV colour blend volume can be used as a source for the Adaptive Horizons (which can be interpreted in both the 3D scene or using a 2D interpretation window), with different auto-track fill options ranging from Waveform, Amplitude, PDF and Graph Theory depending on the source data and objectives. A variety of tracking modes are also available: Full line, Piecewise and Manual, all with interactive previews due to the Regional Structural Awareness. More details on these and other options will be covered in the next blog post.
GeoTeric 2017.1 is our biggest release yet with lots of new functionality. 2017.1 launches our brand new unified seismic interpretation platform with the new Adaptive Horizons, harnessing the power of cognitive decision making.
The previous two blog posts looked at 'standard' frequency decomposition techniques which applied convolution of the trace with bandpass filters in a traditional manner. This post focuses on the High Definition Frequency Decomposition or HDFD.
This weeks blog post continues to look at frequency decomposition techniques available in GeoTeric. We previously looked at the Constant Bandwidth technique, we now look at another Standard Frequency Decomposition technique, the Constant Q.
The Standard Frequency Decomposition module uses bandpass filters to carry out decomposition with properties similar to either a Fast Fourier Transform (FFT) or to a Constant Wavelet Transform (CWT). Due to the nature of the waveform transformation between the frequency and time domains there is resulting uncertainty, as defined by uncertainty principle. Therefore, the different frequency decomposition methods show differences between the frequency resolution and temporal resolution with the two being traded off against each other.
With the release of GeoTeric 2016.2.1, the user can now take advantage of the new Stratigraphic Slicing workflow. This workflow allows the user to rapidly create a series of stratigraphically conformant slices which can then be used to extract data from any of the volumes or colour blends available in their project. The Stratigraphic Slicing workflow consists of the following steps:
IFC+ offers the interpreter an advanced method of Seismic Facies classification in a rich multi-attribute environment. By utilizing the optimized blends, attributes and volumes created in GeoTeric, the IFC+ provides the optimal solution for translating the geology that you see in your data, into classified facies that can be embedded directly into the reservoir model.
GeoTeric’s Adaptive Geobodies changed the paradigm of geobody generation. The tool doesn’t rely on the standard threshold technique, where the user sets an opacity value in order to tell the software which attribute values to ignore.
Colour blending is one of the most powerful visualisation tools currently available to geoscientists. Through this one simple process, the user is able to concurrently view the information from three different volumes, allowing them to interpret their data with more confidence. While there are other methods of interrogating multiple volumes, none offer the same level of data density at one time and although interpretation can be done by moving between multiple volumes, it is far more difficult to notice subtle variations.