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Company / Competitor

TGS

Mentioned in 3 AI use cases across 1 industries

Active Industries

energy3

AI Patterns

monitoring and competitive intelligence1risk scoring and performance optimization1causal inference and scenario forecasting1Computer vision-style pattern recognition and segmentation for seismic horizon picking and subsurface boundary prediction in volumetric seismic data1

Tech Stack

Convolutional neural networks (CNNs)Pre-trained CNNsUser-trained CNNsTransfer learning / fine-tuningHigh-performance computing (HPC) platformSurvey-tailored training label datasetsHigh-quality seismic volumesSLB multiclient data library

Also Competes With

EnverusHalliburtonBaker HughesCGGOsebergComboCurveSLB

Use Cases Mentioning TGS

energymonitoring and competitive intelligence

Wind supply-chain and turbine supplier intelligence

The platform tracks factories, turbine suppliers, and order backlogs so companies can see who can build what, where bottlenecks may happen, and which suppliers are winning.

energyrisk scoring and performance optimization

Frac execution risk and performance optimization

It uses past frac jobs plus rock and cost information to spot safer, more effective ways to execute completions.

energycausal inference and scenario forecasting

Well completions optimization for fracturing design and spacing

Use machine learning to compare different fracking and well-spacing choices, so operators can pick completion designs that are more likely to produce better wells.

energyComputer vision-style pattern recognition and segmentation for seismic horizon picking and subsurface boundary prediction in volumetric seismic data

ML-assisted seismic horizon interpretation for regional offshore exploration in the Kwanza Basin

Machine learning helps geoscientists trace key underground layers in seismic data much faster and more consistently than doing the work entirely by hand.