petryx

Reservoir Quality for Frontier Exploration

Reduce the total cost of hydrocarbon recovery for new ventures by pre-screening clastic reservoir quality potential. Leverage big data and predictive computation, all without expensive seismic or well data acquisition.

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Quantifying reservoir quality risk

Frontier hydrocarbon exploration needs to be efficient and effective. Often, poor reservoir quality only becomes apparent at a later stage, resulting in either high sunk costs or lower-than-expected recovery.

To help explorers avoid this we've built a powerful workflow to quantify clastic reservoir quality potential in blocks and basins without accessible seismic or well data.

Combining the power of predictive computation, massive globally distributed datasets and sediment process expertise, we provide cost-efficient intelligence for better preparing explorers before committing capital to new ventures.

Predictive computation

We've distilled knowledge from the most up-to-date scientific research and literature classics to build predictive models for quantifying the sediment compositional characteristics which influence reservoir quality on block and basin scales.

Our algorithms undergo continuous improvement and are ground-truthed using reservoir data from different modern and past sedimentary systems.

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Massive, globally distributed data

To feed our predictive capability we've spent almost three years aggregating and standardising massive amounts of raw geological and geochemical data.

Now, with over 140 million data points, we can apply our models in almost all of the world's sedimentary basins.

Get in touch to see how we can help you predict reservoir quality
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