Now you’ve seen what Geoteric can do, it’s time to see Geoteric in action. Don’t just take our word for it – see the impressive capabilities for yourself.
Produce industry leading data and sharper and clearer images. Improve signal to noise ratio for optimal structural interpretation and attribute analysis.
Reveal the geology
Intuitive colour blending of seismic attributes unlocks greater insights into the geology. Simple and easy to use allowing the geoscientist to focus on the subsurface rather than the process.
Adaptive interpretation
Adaptive interpretation deliver more accurate interpretation in less time. Incorporating the building blocks of machine learning.
Geoteric AI Seismic Interpretation
Driven by you, supercharged with AI. Achieve significantly shorter interpretation times using a full suite of conventional interpretation tools, backed by over 30 years of research and now integrated with AI.
Greater understanding
Using machine learning, identify different seismic classes and relate them to your geology. Directly transfer the learning and models to your favourite geocelluar modelling package.
Reduce uncertainty
Efficiently validate your interpretation and model. Correlate synthetic seismic volumes generated from your geological interpretations with the original seismic data.
First Break July 2020 - The evolution of structural interpretation from 2D to AI: The reinterpretation of the Cheviot Field
GEOExPro May 2020 - Advancing Subsurface Understanding and Maximising Operational Efficiency with AI
GEOExPro April 2020 - Trusting AI in the Subsurface
First Break March 2020 - Interpretational applications of artificial intelligence-based seismic fault delineation
CIOReview Dec 2019 - Time-saving AI-backed solution for Seismic Interpretation
GEOExPro May 2019 - Artificial Intelligence and Seismic Interpretation
First Break May 2019 - Spectral Decomposition AVO attributes for identifying potential hydrocarbon-related frequency anomalies
First Break May 2018 - Understanding frequency decomposition colour blends using forward modelling — examples from the Scarborough gas field
First Break Sep 2016 - European student lecture tour ready for take-off
First Break October 2015 - Common characteristics of remobilized sand mounds from seismic attributes
First Break May 2014 - Forward modelling to understand colour responses in an HDFD RGB blend around a gas discovery
First Break May 2012 - Automated delineation of geological elements from 3D seismic data through analysis of multichannel, volumetric spectral decomposition data
First Break May 2012 - Seismic imaging of thrust faults and structural damage: a visualization workflow for deepwater thrust belts
First Break March 2012 - Geological Expression: data driven–interpreter guided approach to seismic interpretation
First Break October 2010 - Seismic analysis workflow for reservoir characterization in the vicinity of salt
First Break May 2009 - Seismic facies analysis featured in software release