EAGE 2018 Presentations
If you'd like to receive access to the slides from our booth presentations at EAGE 2018, please provide your email.
Solving interpretation problems with machine learning
Paradise is a step-change in the way seismic interpretation is done, solving complex geologic problems, using machine learning for classification of multiple attributes on the sample level. With Paradise, interpreters can:
Identify thin beds
See detailed stratigraphy
Reveal Direct Hydrocarbon Indicators (DHIs)
Analyze reservoir properties
Expose faults and fracture trends
Isolate pressure-related facies
Key Features of Paradise
High Performance Computing (HPC)
Advanced Attribute Library
Isolate and investigate areas of interest in the SOM results.
- Investigate geobodies at the sample level of each neuron
- Capture details on areas of interest, including volumetrics and statistics
- Edit/clean up selected geobodies by filling in areas or pruing extraneous samples
- Export areas of interest to an interpretation system
With an increase in the size of data volumes, traditional servers and workstations can limit the speed of interpretation. The new Paradise HPC capability enables the generation of geometric and spectral decomposition attributes on clusters of machines, dramatically reducing computation time.
Seismic attributes provide a framework for interpreting geologic features that define depositional environments. The Paradise Attribute Generator makes a library of over 100 attributes readily accessible.