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Turn complex geoscience into development optimization
Simplify complex electrofacies into actionable facies
Leverage seismic inversion into better economics
Integrate geoscience with stimulation and drilling
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Unconventional shale reservoir targets are becoming increasingly challenging to identify as the most productive core play areas are already developed. Future opportunities lie mainly in geologically higher-risk regions at the margins of existing play fairways.
While machine learning and AI tools have improved efficiency, they face limitations at play margins where geology—not engineering—becomes the primary challenge. Many oil and gas companies have reduced reliance on geoscience for several reasons:
High costs and time demands of seismic and geological integration.
Skepticism about the effectiveness of tools like seismic inversion in mitigating risk.
Complex but impractical models—seismic inversions often generate numerous
Lithologies that do not tie clearly to horizontal well performance or production data.
As a result, operators often receive models that are visually impressive but deliver limited actionable guidance for identifying the next viable drilling locations.