Abstract: A method for monitoring subsurface changes in a subsurface domain is disclosed. The method may include receiving ambient noise occurring in a subsurface domain, generating a plurality of time-space virtual shots by processing the ambient noise, modeling subsurface changes based on at least a portion of the plurality of time-space virtual shots, transforming the plurality of time-space virtual shots to a space-time representation, determining at least one difference between the transformed time-space virtual shots, and detecting the subsurface changes based on the at least one difference.

Abstract: A technique includes a method and apparatus for simultaneous joint inversion of surface wave and refraction data to identify near surface geophysical and geological properties.

Abstract: Methods and computing systems for multiple-domain inversion are disclosed to enhance subsurface region evaluation. In one embodiment, three or more datasets corresponding to a subterranean region are received, wherein at least one of the datasets is a magnetic dataset; and the three or more datasets are jointly inverted to generate at least a velocity model that corresponds to at least a first part of the subterranean region, and a susceptibility model that corresponds to at least the first part of the subterranean region, wherein the velocity model and the susceptibility model are correlated.