Stochastic resonance for exploration geophysics

TL;DR

This paper demonstrates that stochastic resonance can enhance signal detection in exploration geophysics by improving the signal-to-noise ratio through controlled noise addition, supported by spectral analysis of model data.

Contribution

It provides the first proof of principle that stochastic resonance is applicable and beneficial in exploration geophysics, opening new avenues for signal enhancement techniques.

Findings

SR improves SN ratio in geophysical signals

Spectral analysis confirms SR effectiveness on model data

Potential for SR to aid in resource exploration

Abstract

Stochastic resonance (SR) is a phenomenon in which signal to noise (SN) ratio gets improved by noise addition rather than removal as envisaged classically. SR was first claimed in climatology a few decades ago and then in other disciplines as well. The same as it is observed in natural systems, SR is used also for allowable SN enhancements at will. Here I report a proof of principle that SR can be useful in exploration geophysics. For this I perform high frequency GaussVanicek variance spectral analyses (GVSA) of model traces characterized by varying levels of complexity, completeness and pollution. This demonstration justifies all further research on SR in applied geophysics, as energy demands and depletion of reachable supplies potentially make SR vital in a near future.