TraceOS integrates well-log and seismic data to deliver quantitative reservoir and geomechanical property estimates. Built for exploration and development geoscientists who need answers, not approximations.
Most seismic inversion approaches require Low Frequency Models to bridge the gap between well-log scale and seismic scale. That's a heavy dependency — it adds cost, complexity, and uncertainty at every step.
Our Relative Rock Properties methodology doesn't need LFMs. It works directly with the bandwidth you have, exploiting the relationships between rock properties to deliver reliable reservoir property estimates without the model-building overhead.
Analyze relationships between reflectivities, absolute rock properties, relative rock properties, and reservoir properties. Time or depth domain. Well-log or seismic resolution.
Build physics-based rock models through effective media relations, iterative moduli optimization, and accurate Vp/Vs/density reconstruction. Modify reservoir conditions and visualize property effects.
Train a linear neural network to estimate reservoir properties from seismic attributes. Absolute properties, relative properties, or reflectivities as input. Multi-resolution, time or depth.
SeisRP analyzes relationships between rock properties and reservoir properties at well-log scale, establishing the calibration basis for the entire survey.
SeisMod reconstructs Vp, Vs, and density logs through effective media modeling — finding the optimal moduli and density combination that fits the measurements.
SeisCar trains a linear neural network on the calibrated model, then estimates reservoir properties directly from seismic attributes at survey scale.
SeisTool runs on Windows. Data inputs and outputs are handled through standard industry formats. No proprietary lock-in on your interpretations.
TraceSeis has delivered reservoir characterization and geomechanical analysis to oil and gas companies across the Americas, Europe, and the Middle East. Our SeisTool package powers the analysis. Our consulting team delivers the interpretation.
We're building toward an era where every geoscientist has access to fast, physics-based reservoir property analysis — without the enterprise software overhead.