Seismic Attributes are a valuable addition to seismic amplitude data in structural and stratigraphic interpretation, particularly in highlighting subtle geological features, such as faults, fractures, channels, and karst features. Many seismic attributes provide a more “geological-looking” data volume than seismic amplitude data, enhancing understanding of the geological setting of plays, and also improving understanding of the reservoir. Seismic Attributes have been available and used by Geoscientists for many years and continue to evolve. They have, however, been historically underutilized by geoscientists and engineers in their most critical workflows. With ongoing advances in computer technology and the availability of lower cost, easy to use, attribute generation and analysis tools, the use of derived attributes on the desktop has become an increasingly mainstream and critical aspect of seismic interpretation and reservoir characterization workflows.
LMKR Volume Attributes is a new product offering from LMKR that provides a high quality, high performance engine for calculating the standard and state of the art high resolution frequency tuned seismic attributes that are becoming more and more mainstream in today’s exploration and development processes. LMKR Volume Attributes allows calculation of curvature and geometric attributes such as semblance and Event Similarity Prediction (ESP), based on spectral decomposition of the seismic amplitude data. It also supports calculation of time-based attributes based on time windows, instantaneous attributes based on Hilbert-transformed traces, and expression-based attributes calculated from mathematical combinations and operations on other attribute volumes. The spectral decomposition algorithm that is embedded is patented, and allows higher resolution decomposition than conventional approaches. In this blog we will focus on how LMKR Volume Attributes can assist you in the application of frequency tuned coherence attributes for the detection of faults, fractures, and stratigraphic features.
For example, Figure 1 shows that a feature is not visible at all frequencies – different features will tune on different frequency bands with clarity. In LMKR Volume Attributes, users can easily identify and select the frequency pass band to optimally compute frequency tuned attributes resulting in coherence images that clearly reveal buried deltas, river channels, reefs and dewatering features.
LMKR Volume Attributes offers 3 different algorithms to compute spatial gradients and coherence attributes. Coherence attribute generation can thus be divided into a multi-step workflow (refer to Figure 2 below):
- Select an input volume.
- Analyze the frequency spectrum of the zone of interest.
- Run spectral decomposition using CAPS (Continuous Amplitude Phase Spectrum – a patented approach). Both amplitude and phase volumes are serialized with each frequency.
- Compute the frequency dependent geometric curvature attributes for each frequency output volume.
- A single volume per attribute is generated and serialized on disk
Uses of Coherence Attributes
- Automated fault delineation
- Assistance in manual fault picking
- Delineation of directional fault sets
- Delineation of buried deltas, river channels, reefs and dewatering features
Deriving modern seismic attributes from the seismic data your company has invested in is a key component of producing a more refined interpretation and analysis of the reservoirs of interest. Getting the most out of the data you have available is now a simple process involving spectral analysis in the zone of interest and calculation of high resolution attributes that will help you understand the character of your reservoir and lead to better decisions. LMKR Volume Attributes automates key steps using patented technology to produce extremely high-resolution results.
If you have any questions or would like to find out more about LMKR Volume Attributes please leave a comment below and I will respond to you as quickly as possible. Alternatively, see LMKR Volume Attributes in action by clicking here to see our recent webinar.
Data set Sources:
- Figures 1,3&4 generated from dataset Netherland F3 Block courtesy of Creative Commons
- Figure 5 1997 generated from Toolachee 3D Seismic Survey data source courtesy of Santos Ltd and the Government of South Australia Department for Manufacturing, Innovation, Trade, Resource and Energy (DMITRE)
- Figure 5: Our thanks to Tim Brown, Consultant and GeoGraphix Product Champion for producing and providing these outputs.