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Abstract

Summary

In this paper we present findings from a study to explore the possibilities of using pulsed electromagnetic (EM) waves for CO2-storage monitoring purposes, to help mitigate the release of large quantities of CO2 in the atmosphere. The study focused on the geological setting of the Mississippi Basin, targeting the detection of CO2 leaks at depths ranging from 350 to 3000 m. The primary objective was to assess the effectiveness of surface-based monitoring technologies, such as pulsed EM detection, that eliminate the need for wellbore access. A sensitivity study was performed to determine the minimum CO2 concentration and leak size detectable using this technology by utilizing finite-difference and machine learning-based computational analysis.

The simulation was run for different D (diameter of CO2 cube) values. The CO2 scan is most sensitively detected in the data using our in-house anomaly detector. A neural network is trained to reproduce the time measured time series across many windows with minimal error. The simulations suggest CO2 leaks of the order of 2–4% volumetric concentration can be reliably detected from the surface at a depth of 350m. Simulation results indicate 3000m leak detection is difficult but theoretically possible for a concentration of 20% and up.

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/content/papers/10.3997/2214-4609.202539009
2025-03-24
2026-02-14
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References

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