Geomodeling Technology Corp. is a leading innovator of seismic attribute analysis and multi-scale reservoir modeling software and services for the upstream exploration and production industry. We enable petroleum companies to maximize revenue and reduce costs with software solutions and project-based services for improved reservoir characterization and recovery. We are a privately-held global company with headquarters in Calgary, offices in Beijing and Houston, and customers around the world.
Next Generation Of Seismic Interpretation System Powered By Artificial Intelligence (AI) Algorithms.
- Interactive training process
- Driven by geophysicist’s interpretation, instead of synthetic training data
- Seamless integration with the conventional interpretation workflow by converting existing fault and horizon interpretation to training labels
- Extreamely easy to use, designed by seismic interperters for seismic interpreters, no requirement for machine learning knowledge or Python coding
- A quantum leap productivity and interpretation accuracy
Integrated Geological Interpretations Of Well Data And Seismic Attributes.
- Truely integration of well data and seismic interpretation processes.
- One system for the basic interpretation and advanced analysis workflows.
- Complete machine learning solution to well data and seismic attributes.
- Unique solutions to map sweet spots for optimal well placements in unconventional plays.
- Advanced visualization and interactive attribute analysis and quantitative interpretation.
- 10x productivity increase from the legacy system
Build Realistic Reservoir Models Based On Geological Interpretation
- Utilizes sedimentological rules to produce realist geologic models
- Generate high resolution reservoir models with stratigraphic details that honour geology
- Can incorporate data produced by seismic attribute analysis and small scale bedding modeling
A Discruptive Solution To Bridge Gaps From Core To Field Models
- Model small-scale sedimentary bedding, fractures, and bioturbation structure as observed in core data
- Flow-based upscaling from core data scale to field scale
- Conditioned to core interpretation, grain size and measurements , and well logs
- Accurate petrophysics at the right scales to reduce risks in reserve estimate and production planning
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