PaleoScan 2025 is a major release from Eliis, representing a significant step forward in semi-automated seismic interpretation by integrating AI-assisted tools with patented Relative Geological Time (RGT) technology . This version introduces new features designed to bridge the gap between seismic interpretation, petroleum systems analysis, and reservoir modeling . The release is available for commercial use and through academic licensing for faculty and students .
Key New Features in 2025
This version introduces several major advancements across the platform:
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Prospect Evaluation: A new toolbox enables geoscientists to identify traps for hydrocarbons or CO2, compute volumes, define injection points, and visualize fill-spill and leakage points, bringing interactive petroleum systems modeling into the platform .
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Interpretation Tools: New capabilities include GeoBlend for rapid screening of geological features using RGB blending , significant improvements to manual 2D and 3D multi-seed trackers , automatic AVO cross-plotting , and upgrades to gridding methods .
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Deep Learning Upgrades: AI GeoSeg 2.0 offers interactive, guided extraction of complex geobodies that can be applied in both the seismic and horizon-slice domains . AI FaultAssist 3.0, developed in collaboration with Chevron, delivers fault likelihood predictions at every voxel, with improved cleanup of edge effects and false predictions .
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Time/Depth & 4D Analysis: New 4D attribute volumes help characterize time/depth/amplitude shifts between baseline and monitor surveys for maturing oil fields and CO2 injection projects . The Depth-Depth Adjustment tool automatically corrects mismatches between seismic data, RGT models, and well markers .
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Data Management: Native support for the Volume Data Store (VDS) format eliminates the need for external transcoders and ensures interoperability . On the wellbore side, the software now adopts the OSDU classification for well log data .
Core Capabilities
The PaleoScan platform is built on a powerful chronostratigraphic framework that optimizes the correlation of seismic traces to build a consistent geological model . A core advantage of this approach is that it can cut interpretation time by up to 80% compared to traditional workflows . Its core modules empower users to generate a large panel of seismic attributes, convert seismic reflectors into horizons, model stratal slices, emphasize and model faults, extract and classify geobodies, and cross-correlate well logs with seismic attributes
