Seismic imaging is a linearized inversion problem relying on the minimization of a least‐
squares misfit functional as a function of the medium perturbation. The success of this …

Full-waveform inversion relies on the collection of large multi-experiment data volumes in
combination with a sophisticated back-end to create high-fidelity inversion results. While …

Least‐squares reverse‐time migration is well known for its capability to generate artefact‐
free true‐amplitude subsurface images through fitting observed data in the least‐squares …

Seismic inversion in exploration geophysics is a process to determine subsurface structure
of the Earth from seismic data, usually collected at the surface and sometimes in wells. Full …

Images obtained from seismic data are used by the oil and gas industry for geophysical
exploration. Cutting-edge methods for transforming the data into interpretable images are …

In modern seismic exploration, wave-equation-based inversion and imaging approaches
are widely employed for their potential of creating high-resolution subsurface images from …

We have studied the preconditioned conjugate gradient (CG) algorithm in the context of shot-
record extended model domain least-squares migration. The CG algorithm is a powerful …

Microseismic data is often used to locate fracture locations and their origin in time created by
fracking. Although surface microseismic data can have large apertures and is easier to …

This thesis will address the large computational costs of solving least-squares migration and
full-waveform inversion problems. Least-squares seismic imaging and full-waveform …

In this paper, we present an efficient way to compute extended images for all subsurface
offsets without explicitly calculating the source and receiver wavefields for all the sources …