Geophysical characterization of calderas is fundamental in assessing their potential for
future catastrophic volcanic eruptions. The mechanism behind the unrest of Long Valley …

Least-squares reverse time migration (LSRTM) has shown great potential to improve the
amplitude fidelity and spatial resolution of a reverse time migration (RTM) image. However …

Pre-stack AVO inversion of seismic data is a modeling tool for estimating subsurface elastic
properties. Our focus is on the model-based inversion method where then unknown …

Producing reliable acoustic subsurface velocity models still remains the main bottleneck of
the oil and gas industry's traditional imaging sequence. In complex geologic settings, the …

We develop a novel elastic amplitude-variation-with-offset (AVO) inversion process to
estimate the fluid saturation and effective pressure or variations in these properties from time …

In the process of tunnel excavation, advanced geological prediction technology has become
indispensable for safe, economical, and efficient tunnel construction. Although traditional …

Diffusion models have been widely studied as effective generative tools for solving inverse
problems. The main ideas focus on performing the reverse sampling process conditioned on …

The potential for open-source software and open-science practices to accelerate research in
applied geophysics and thereby contribute to solutions of geoscientific problems impacting …

Large-scale inverse problems that require high-performance computing arise in various
fields, including regional air quality studies. The paper focuses on parallel solutions of an …

Pyseis, a high-performance Python library, harnesses the power of low-level CUDA and C++
for computation, and provides a user-friendly Python interface for wave-equation modeling …