Geoteric
World-leading AI seismic interpretation software company with applications across the entire E&P lifecycle, serving the Energy sector with over 30 years of subsurface innovation.
About Geoteric
World-leading AI seismic interpretation software company with applications across the entire E&P lifecycle, serving the Energy sector with over 30 years of subsurface innovation.
Products
AI platform where geoscientists can experiment with multiple AI networks in a clean, modern interface, making it easier to extract valuable data faster.
AI-powered fault detection using 2D networks for seismic interpretation.
AI-powered fault detection using 3D networks for seismic interpretation.
AI-powered horizon interpretation for seismic data.
AI Seismic Interpretation enabling effective and detailed characterisation of geological elements to enhance understanding of the subsurface.
AI integration solutions for seismic interpretation workflows.
Core module delivering adaptive interpretation for more accurate interpretation in less time, incorporating the building blocks of machine learning.
Produce industry leading data and image quality, sharper and clearer images, improving signal to noise ratio for optimal structural interpretation and attribute analysis.
Intuitive colour blending of seismic attributes unlocking greater insights into the geology, allowing the geoscientist to focus on the subsurface.
Using machine learning, identify different seismic classes and relate them to geological classes, with direct transfer of learning and models to geocellular modelling packages.
Efficiently validate interpretation and model by correlating synthetic seismic volumes generated from geological interpretations with the original seismic data.
What customers say
- AI Faults - 3D Networks
Geoteric reports that bpx Energy used AI Faults - 3D Networks to analyze faults in Eagle Ford and Permian assets faster and at lower cost than manual interpretation. The vendor-published story says extracted faults…
Case study - Case study
Geoteric reports using AI fault interpretation for Aker BP’s Valhall field to delineate reservoir and overburden faults. The vendor-published story describes improved structural understanding to support well placement…
Case study - Geoteric AI
The vendor-published Ithaca Energy story reports that Geoteric AI predicted reservoir compartment size and hydrocarbon volume within a couple of weeks. Ithaca’s geoscientist says well data corroborated the results,…
Case study
Security and compliance
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