Paradise is a dramatic new geoscience analysis software featuring machine learning technology for oil and gas exploration and development. The platform enables geoscientists to rapidly analyse multiple attributes and other information simultaneously, generating these sources of value:
- Identify thin beds below traditional seismic resolution
- Discriminate DHIs in conventional reservoirs
- Locate fracture trends and sweet spots in shale plays
- Highlight changes in pore pressure related facies
- Reveal geologic and stratigraphic features
- Visualize thin beds and facies below seismic resolution
Seismic attributes provide a framework for interpreting geologic features that define depositional environments. Using the Advanced Attribute Library, interpreters can systematically generate seismic attribute volumes for multi-attribute analysis. Employ an array of instantaneous, geometric, and spectral decomposition attributes to extract more from the seismic response.
The Advanced Attribute library is based on software developed by the world-class Attribute Assisted Seismic Processing & Interpretation (AASPI) Consortium at The University of Oklahoma. The Paradise Attribute Generator presents this powerful software in straightforward Thoughtflows™, making them available for all interpreters who use Paradise for attribute generation and analysis.
Principal Component Analysis
Attributes differ in their relative contribution to information in a given volume. PCA is a method of identifying those attributes that have the greatest contribution to the data and quantifying the relative contribution of each attribute. The PCA workflow in Paradise is applied on the attributes to assess their relative contribution to the SOM analysis.
Self-Organizing Maps (SOM)
The SOM is a neural network based machine learning process that is applied to multiple attribute volumes simultaneously. Applied at full seismic resolution in Paradise, the SOM produces a non-linear classification of the data in a region designated by the interpreter. Regions can be delimited by time, between horizons, or above and below a given horizon in Paradise. The interpreter uses the 2D Colormap to analyse SOM results. Each hexagonal object (neuron) in the interactive 2D Colormap represents a class of data in the region and a corresponding geologic condition. The SOM distils greater information from the seismic response by extracting more information from multiple attributes.
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