Results 71 to 80 of about 3,297,474 (208)

Bayesian Full‐Waveform Monitoring of CO2 Storage With Fluid‐Flow Priors via Generative Modeling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Quantitative monitoring of subsurface changes is essential for ensuring the safety of geological CO2 ${\text{CO}}_{2}$ sequestration. Full‐waveform monitoring (FWM) can resolve these changes at high spatial resolution, but conventional deterministic inversion lacks uncertainty quantification and incorporates only limited prior information ...
Haipeng Li, Nanzhe Wang, Louis J. Durlofsky, Biondo L. Biondi   +3 more
wiley   +1 more source

Deep GPR Permittivity Inversion Guided by FWI-Derived Coarse Models

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
A central challenge in ground-penetrating radar permittivity inversion is that strong near-surface heterogeneity causes complex superposition of multiple scattering and diffractions, making the inverse problem highly nonlinear and ill-posed.
Xuelei Li, Linfeng Tang, Shouhua Liu, Yanqi Wu, Zhijun Huo   +4 more
doaj   +1 more source

Rock Physics of the Critical Zone: Models, Inversion, and Interpretation

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Rock physics models link geophysical measurements with subsurface petrophysical properties, such as porosity, mineral composition, and fluid saturation. While originally developed for hydrocarbon exploration, these models are increasingly applied in the near surface for quantitative interpretation of geophysical data.
Dario Grana, Brady A. Flinchum, Denys Grombacher, Andrew D. Parsekian, Clifford S. Riebe, W. Steven Holbrook   +5 more
wiley   +1 more source

Mapping Subsea Permafrost Distribution in the Canadian Beaufort Sea With Marine Seismic and Deep Learning

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract Subsea permafrost is widespread across the polar continental shelf, and mapping its distribution is crucial for assessing the possible impact of its degradation in response to global warming. While seismic techniques have been useful in determining the lateral extent of subsea permafrost in the Canadian Beaufort Sea, are limited when it comes ...
Jefferson Bustamante, Gabriel Fabien‐Ouellet, Mathieu J. Duchesne   +2 more
wiley   +1 more source

Monte Carlo Full-Waveform Inversion of Cross-Hole Ground-Penetrating Radar Data Based on Improved Residual Network

Remote Sensing
A full-waveform inversion (FWI) of ground-penetrating radar (GPR) data can be used to effectively obtain the parameters of a shallow subsurface. Introducing the Markov chain Monte Carlo (MCMC) algorithm into the FWI can reduce the dependence on the ...
Shengchao Wang, Xiangbo Gong, Liguo Han
doaj   +1 more source

Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source

Journal of Marine Science and Engineering
Full waveform inversion (FWI) is an established precise velocity estimation tool for seismic exploration. Machine learning-based FWI could plausibly circumvent the long-standing cycle-skipping problem of traditional model-driven methods.
Qiqi Zheng, Meng Li, Bangyu Wu
doaj   +1 more source

Automated Three‐Dimensional Reflection Traveltime Modelling to Extract 3D Dipping Layer Geometries

Geophysical Prospecting, Volume 74, Issue 4, May 2026.
ABSTRACT Steep geological structures are critical for improved understanding of tectonic processes and fluid circulation, particularly in crystalline settings. However, accurately determining their geometry at depth remains a challenge for conventional 2D surveys.
Samuel Zappalá, Michael Westgate, Alireza Malehmir   +2 more
wiley   +1 more source

MPI‐Based Approaches to Overlap Computation and I/O in Geophysical Simulations

Concurrency and Computation: Practice and Experience, Volume 38, Issue 7, April 2026.
ABSTRACT Geophysical simulations, such as wave propagation, are often constrained by I/O bottlenecks, where a significant portion of the execution time is spent writing data to disk. This process frequently leaves expensive computational resources, such as GPUs, idle, directly impacting both performance and energy consumption.
Rodrigo C. Machado, Arthur F. Lorenzon, Philippe O. A. Navaux   +2 more
wiley   +1 more source

Correlative Full-Intensity Waveform Inversion

, 2020
Full-waveform inversion (FWI) is considered an effective technique for building high-resolution velocity models by fitting observed seismology waveforms.
Liu, Yike, He, Bin, Lu, Huiyi, Zhang, Zhendong   +3 more
core   +1 more source

Interpretation-Based Full Waveform Inversion

, 2020
Full waveform inversion (FWI) is an iterative seismic data-fitting procedure used to resolve geologically complex subsurface property models. Inverting low-frequency components of the seismic wavefield to update velocity models has been shown to ...
Graham, David P
core   +1 more source