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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Seismic data enhancement
Speed up seismic interpretation
Revive seismic archive data
Skip reprocessing,
save $
save $
Problematics
Unlocking the full potential of oil and gas fields relies on the precision of seismic interpretation. Yet, legacy data quality limitations and subsurface complexity often obscure critical insights. This can lead to the following problems in oil and gas industry:
Leading to well loss, which can cost up to $3 mln per well
lncreased drilIing risks
Petroleum reserve errors
As high as 50%, especially in case of legacy data
Disrupted work deadlines
Leading to reputation risks and investment decrease
The result is a suite of ready-to-use solution sets that deliver consistent, physics-aware results at the click of a button.
The core technology behind these tools is a series of neural networks trained on millions of synthetic seismic examples and verified on real ones. This training allows the AI to recognize and separate noise from signal across various geological settings—without requiring to build or train models.
Geoplat offers specialized AI-powered enhancement tools directly into interpretation workflow. Instead of using low-quality seismic data or spending weeks on manual processing, you can now apply targeted algorithms that denoise seismic data fast and easy to apply.
How to solve these problems?
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This set has a variety of data enhancement tools, that allow the interpreter to archive the following results (can be used simultaneously or separately):
Data enhancement
for structural interpretation
for structural interpretation
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Increasing time resolution to reveal thin structures
Restoring reflections to speed up horizon correlation
Highlighting fault zones for their precise detection
Removing incoherent noise to reveal horizons and structures
Regular noise suppression (footprints, seismic migration artifacts, etc.)
It can archive the following results (used simultaneously or separately):
Irregular noise suppression (soft, medium and hard options)
This set effectively removes noise component and preserves the real amplitudes. The results can be used for dynamic interpretation – like attributes calculation, rock properties estimation.
Data enhancement
for dynamic interpretation
for dynamic interpretation
High Resolution tool
Mean Seismic tool
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Geobodies Detection
Fault interpretation is оnе of the most difficult tasks within а general structural interpretation workflow.
Fault interpretation is оnе of the most difficult tasks within а general structural interpretation workflow.
Seismic Facies Identification
Fault interpretation is оnе of the most difficult tasks within а general structural interpretation workflow.
Fault interpretation is оnе of the most difficult tasks within а general structural interpretation workflow.
FauIt Interpretation
Fault interpretation is оnе of the most difficult tasks within а general structural interpretation workflow.
Fault interpretation is оnе of the most difficult tasks within а general structural interpretation workflow.
Other AI Solutions
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