GeoManager AI-Agent Beta: Join the Early Access Program
Help us shape the first truly useful AI orchestrator for geoscience projects. This short survey (5–7 minutes) will help us understand your team, your workflows, and whether GeoManager AI-Agent is a good fit for your seismic interpretation projects. By answering these questions, you’ll get a chance to join a small group of early adopters, influence our roadmap, and be among the first to try Geoplat’s new AI‑powered experience in real projects.
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Reduced operational time
Intuitive ML workflow building that significantly decreases processing time and delivers fast and accurate prediction results
Applying your knowledge
Intelligent ML workflow Customisation aimed at retaining your competences and experience
Advanced hybrid neural network
Pretrained Models on more than 1M data samples including multiple seismic attributes
Data model at a new level
Robust prediction of the most complex geological features based on varying seismic quality and complexity of geological strata
Adaptation of generalized models to specific geological scenarios using advanced transfer learning techniques
Local Geological Adaptation
Physics-Guided AI
Hybrid AI models, pre-trained on extensive synthetic data and rigorously validated on real seismic surveys, deliver robust, data-driven predictions across diverse geological settings
Universal Pre-Trained Models
A library exceeding millions geologically constrained synthetic datasets for robust AI model pre-training
Physics-Guided Data Generator
15
8
80
70%
Leading Academic Institutions participating in the R&D program
1M
500
Up to
Productivity improvement
Data samples are included in the AI models
Geoscientists have already
applied Geoplat AI on their data
applied Geoplat AI on their data
Successful consultancy projects сompleted by the Geoplat team
Years of ML research and development
AI Webinar Series
Features
Our ML software Geoplat AI is here to significantly speed up the processes for your business challenges and to give you valuable data insights
Fault Interpretation
Fault interpretation is one of the most difficult tasks within a general structural interpretation workflow.
Geoplat developed the technology which can help to significantly reduce time and resources spent on building a geological model. The use of machine learning based on deep neural networks allows to calculate fault probability distribution, extract surfaces, and eliminate interpretation uncertainties.
More Geoplat developed the technology which can help to significantly reduce time and resources spent on building a geological model. The use of machine learning based on deep neural networks allows to calculate fault probability distribution, extract surfaces, and eliminate interpretation uncertainties.
Horizon Interpretation
Horizon interpretation is the core process in understanding the structural features of a geological cross section and conducting reliable dynamic seismic analysis.
Geoplat offers a new approach to address automatic horizon tracing. You can trace a single horizon or the whole set, preserving complex fault structures and regional geological features.
More Geoplat offers a new approach to address automatic horizon tracing. You can trace a single horizon or the whole set, preserving complex fault structures and regional geological features.
Structure-oriented Seismic Conditioning
Low quality seismic datasets often make it difficult to build a structural framework and predict pay zone properties.
Machine learning algorithms developed by Geoplat provide a powerful workflow for interactive and intelligent data conditioning of post stack seismic data. It enables getting instant results considerably saving time on defining functions and workflows.
More Machine learning algorithms developed by Geoplat provide a powerful workflow for interactive and intelligent data conditioning of post stack seismic data. It enables getting instant results considerably saving time on defining functions and workflows.
Case Studies
Check out an effective application of the Geoplat technologies on real seismic data
Seismic data quality increasing with a help of seismic data AI-based cleaning functions
Salt geobody delineation outcome based on the AI capabilities
Results of automatic horizon interpretation, propagated over the entire survey area with a help of AI-driven tool
Detecting paleo channels on the entire survey area enabled by the AI geobody solution
Enjoy the Advantages of the Integrated AI Workflow Today!
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