Remote sensing combined with machine learning to increase your precision
Innovative data. Smarter decisions. Lower exploration risk.
In today’s competitive upstream landscape, innovation in data mapping can give you the edge.
We help exploration teams identify oil indications and map reservoir potential with precision — using satellite imagery, geophysical data, and AI-driven analysis.
Our proprietary maps reveal what conventional methods can miss — helping you prioritize prospects, de-risk drilling decisions, and focus investment where it matters most.
Here’s how we do it.
Seafloor Oil Seepage Map
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We use advanced satellite imagery and ocean current modeling to map the probability of active oil seepage on the seafloor. The result: a powerful visual layer highlighting areas with a high likelihood of hydrocarbon presence.
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Method steps:
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👉 Outcome: A high-resolution map guiding exploration decisions with seepage potential insight
Detect oil seepage slicks on the sea surface via satellite
Reconstruct ocean circulation with computational models
Simulate backward trajectories of the seepage slicks to the seafloor
Map seepage potential, assigning a score (0 to 1) to each grid point
Oil Commercial Accumulation Favorability Map
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Predict where your next producer well should be.
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We combine geological, geophysical, and seepage data with AI to estimate where new commercial oil accumulations are most likely. Our machine learning model is trained on existing well data, enabling confident predictions in undrilled wells.
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Satellite-derived data and derived attributes as inputs for the model:
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​ Train Machine Learning Model using known well outcomes
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Model understands the petroleum system (source rock, reservoir, seal, trap, migration)
Model predicts favorability scores (0 to 1) across the area of interest
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👉 Outcome: A favorability map to prioritize drilling targets, before the bit hits the ground.
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Seepage probability (from Seafloor Oil Seepage Map)
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Gravimetry
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Sedimentary thickness
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Bathymetry