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Technology

LithoSight delivers advanced AI-driven subsurface analysis through a suite of high‑value services, including well‑to‑seismic calibration, thin‑bed reflectivity inversion, fracture mapping, and predictions of porosity, Total Organic Content, and lithology—providing fast, accurate geological insight that strengthens exploration, development, and decision‑making across energy sectors.

LithoSight Reservoir Characterisation Technology AI

LithoSight Interpret

The LithoSight Interpret suite enhances subsurface data clarity through advanced calibration, thin-bed reflectivity inversion, and advanced fracture mapping.

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TieSight consistently calibrates all well data using AI, removing depth shifts and interpretation drift—saving geoscientists weeks of manual tying and delivering cleaner logs, stronger correlations, and faster, more confident decisions

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ThinSight applies AI‑driven thin‑bed reflectivity inversion to sharply enhance seismic resolution, revealing subtle geology with turnaround times 70–90% faster than traditional methods for quicker, more confident interpretation.

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FractureSight uses advanced AI‑driven seismic attribute analysis to assess fracture openness in carbonates or basement, delivering rapid, high‑clarity fracture insights for better reservoir management and more productive geothermal development

LithoSight Predict

The LithoSight Predict suite delivers high‑accuracy AI predictions of key subsurface properties, transforming enhanced data into actionable geologic insight

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PoroSight uses AI‑driven regression to predict porosity across full 2D or 3D seismic volumes, integrating all available well and seismic data to deliver fast, continuous, high‑resolution reservoir property volumes.

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TocSight predicts Total Organic Content across full seismic volumes using AI‑driven regression, integrating every available well and seismic input to deliver fast, continuous, high‑resolution property volumes for better understanding of the source rock potential

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StrataSight applies AI classification to all well and seismic data to predict lithology across entire 2D or 3D volumes, providing rapid, high‑resolution facies and stratigraphic understanding for more confident reservoir evaluation.

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