Check out the latest paper from Founder & SME Souvik Mukherjee in the March Leading Edge

Ground-truth-calibrated onshore and offshore subsurface infrastructure image from deep-learning-based 3D inversion of magnetic data

THE PROBLEM

Inaccurate subsurface infrastructure analysis increases operating expenditures by $50 billion annually.

Current subsurface analysis 2-dimensional.
The cost of oil and gas pipeline leak detection is around $2.5 billion annually.
Utility construction “rediscovery” adds as much as 30% to routine construction costs.

An MRI for the Subsurface

Field Results – 12X+ reduction in positional uncertainty compared with conventional 2-D interpretation.

AI-driven 3-D imaging extracts more information from geophysical survey data than conventional 2-D interpretation.

Just as an X-ray provides partial information, and MRI offers a complete 3-D view.

Conventional 2-D interpretation identifies anomalies, while ZeroDig Pro® provides 3-D location, depth, and quantified uncertainty.

Surface location is identified and a data acquisition plan is developed.

Appropriate sensors are selected and subsurface data is acquired typically using a magnetic or an electromagnetic sensor.

AI-driven analysis converts geophysical survey data into 3-D subsurface imagery.

3-D results are analyzed and targeted intervention plan is developed and implemented.