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SymAE: redatuming timelapse data to create virtual baseline sources in the monitoring medium

We introduce an auto-encoder called SymAE that learns to redatum time-lapse data recorded in passive-seismic subsurface-monitoring experiments. SymAE analyzes the baseline and monitor records and creates new monitor records that behave as if the …

SymAE: an autoencoder with embedded physical symmetries for passive time-lapse monitoring

We introduce SymAE, an auto-encoder architecture that learns to separate multichannel passive-seismic datasets into qualitatively interpretable components: one component corresponds to path-specific effects associated with subsurface properties while …

A seismoelectric inverse problem with well-log data and borehole-confined acquisition

One of the formation properties that most can impact drilling risk is pore-fluid pressure. While the literature abounds with analyses, computation and laboratory experiments, and case studies purportedly providing the remote estimation of pressure, …

Focused blind deconvolution of interferometric Green's functions

We detail a novel multichannel blind deconvolution (BD) algorithm that extracts the cross-correlated or interferometric Green's functions from the records due to a single noisy source. In this framework, we perform a least-squares fit of the …

Focused blind deconvolution of earthquake signals

Focused blind deconvolution (FBD) is the state-of-the-art blind deconvolution algorithm that can simultaneously estimate the subsurface Green’s function and the earthquake source signature from the records at multiple receiver stations. The inherent …

Deblending random seismic sources via independent component analysis

We consider the question of deblending for seismic shot records generated from simultaneous random sources at different locations, i.e., how to decompose them into isolated records involving one source at a time. As an example, seismic-while-drilling …

A Shear-Wave Seismic System to Look Ahead of a Tunnel Boring Machine

An Auxiliary Bump Functional to Overcome Cycle Skipping in Waveform Inversion

To overcome the local minima problem in FWI, we propose to use an auxiliary data-domain objective function during inversion. It reduces the data to a simpler form by squaring, followed by blurring to ensure that events that are too far apart can …

Looking ahead of a tunnel boring machine with 2-D SH full waveform inversion

In the near-surface with unconsolidated soils, shear properties can be well imaged, sometimes better than P-wave properties. To facilitate ground prediction ahead of a tunnel boring machine (TBM), active 'surveys' with shear-wave vibrators are …

Parametrization for 2-D SH full waveform inversion

With single-parameter full waveform inversion, estimating the inverse of the Hessian matrix will accelerate the convergence, but is computationally expensive. Therefore, an approximate Hessian, which is easier to compute, is often used. Similarly, in …