Geoplat AI

Robust prediction of the most complex geological features based on varying seismic quality and complexity of geological strata

Data model at a new level

Pretrained Models on more than 1M data samples including multiple seismic attributes

Advanced hybrid neural network

Geoplat AI

Intelligent ML workflow Customisation aimed at retaining your competences and experience

Applying your knowledge

AI based integrated geoscience solutions

Intuitive ML workflow building that significantly decreases processing time and delivers fast and accurate prediction results

Reduced operational time

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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

Successful consultancy projects сompleted by the Geoplat team

Years of ML research and development

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

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AI Webinar Series

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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.

Features

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Fault Interpretation

Fault interpretation is one of the most difficult tasks within a general structural interpretation workflow.

Our ML software Geoplat AI is here to significantly speed up the processes for your business challenges and to give you valuable data insights

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.

Structure-oriented Seismic Conditioning

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.

Low quality seismic datasets often make it difficult to build a structural framework and predict pay zone properties.

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Case Studies

Improving Seismic Data Quality on Waka field

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

Delineation of Salt Bodies on F3 Seismic Survey

Salt geobody delineation outcome based on the AI capabilities

Paleo Channels Discovery on Tui Area

Detecting paleo channels on the entire survey area enabled by the AI geobody solution

Automatic Horizon Interpretation at Opunake Area

Results of automatic horizon interpretation, propagated over the entire survey area with a help of AI-driven tool

Enjoy the Advantages of the Integrated AI Workflow Today!

Enjoy the Advantages
of the Integrated
AI Workflow Today!

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