Results 151 to 160 of about 692,725 (319)

The new insight of tectonic setting in Sunda–Banda transition zone using tomography seismic. Case study: 7.1 M deep earthquake 29 August 2023

Open Geosciences
The Sunda–Banda arc transition zone features the collision of the Indo-Australian oceanic plate and the Australian continent, resulting in intricate geological and geodynamic conditions.
Hasanah Mia Uswatun, Supendi Pepen, Nugraha Andri Dian, Widiyantoro Sri, Syaifuddin Firman   +4 more
doaj   +1 more source

Sedimentary lithofacies, petrography and diagenesis of the Kapuni group in the Kapuni Field, Taranaki Basin, New Zealand : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science with Honours in Earth Science at Massey University, Palmerston North, New Zealand [PDF]

, 2004
The reservoir architecture and quality of the Kapuni Group sandstones in seven wells (Kapuni−1, −3, −8, −12, Deep−1, 14 and −15) in the Kapuni Field are characterised using available core and digital geophysical log data.
Cooper, Brent John
core  

Measurement of Phase Velocity and Ellipticity of Multi‐Mode Surface Waves by Beamforming Multi‐Component Ambient Seismic Noise

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract Conventional beamforming of multi‐component ambient seismic noise typically utilizes only the vertical‐vertical (ZZ) component to extract Rayleigh wave dispersion curves or the transverse‐transverse (TT) component for Love waves. In this study, we extend weighted and modified beamforming to cross‐correlation functions between different ...
Tongwei Qin, Youyuan Zhang, Shanshan Jia, Laiyu Lu   +3 more
wiley   +1 more source

Mercury's Tectonic and Geodynamic History: 1. Contractional Tectonic Landform Analysis and Tectonic Strain Using Machine Learning

Journal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Mercury's tectonic record is dominated by shortening landforms, including lobate scarps, high‐relief ridges and wrinkle ridges. Previous analyses of these structures have used displacement–length ratios to constrain the planet's global contraction to a range of either no more than 2 km or up to 7 km.
A. Broquet, J. C. Andrews‐Hanna
wiley   +1 more source

Mercury's Tectonic and Geodynamic History: 2. Contribution of Membrane–Flexural Strains to the Tectonic Record

Journal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Previous analyses of Mercury's tectonic record have arrived at widely varying amounts of global contraction. Contraction also varies spatially, with some regions displaying a near‐zero record of contraction. Here, we investigate the contribution of membrane–flexural strain from lithosphere loading to the tectonic record.
A. Broquet, J. C. Andrews‐Hanna
wiley   +1 more source

Seeing Through Geomorphic Complexity to Recover Tectonics From Topography: Inverting Landscapes for Uplift Histories Using the Wasserstein Distance

Journal of Geophysical Research: Earth Surface, Volume 131, Issue 4, April 2026.
Abstract An important problem in the Earth sciences is extracting information about tectonic and other processes from topography. A general challenge is that geomorphic activity that we typically have little information about during the lifetime of a landscape can introduce geomorphic “noise”.
M. J. Morris, G. G. Roberts, F. D. Richards, A. G. Lipp, E. R. Siddle   +4 more
wiley   +1 more source

GeoFWI: A Large Velocity Model Data Set for Benchmarking Full Waveform Inversion Using Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Full waveform inversion (FWI) plays an increasingly important role in the field of seismic imaging due to its strong ability to estimate subsurface properties. Specifically, data‐driven FWI (DDFWI) establishes a straightforward mapping relationship between seismic data and the corresponding velocity model, yielding promising results.
Chao Li, Yiran Shen, Sergey Fomel, Umair Bin Waheed, Alexandros Savvaidis, Yangkang Chen   +5 more
wiley   +1 more source

Rethinking Collinearity in Self‐Organizing Maps: Evidence From Geophysical Data Classification

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract This study examines the impact of collinearity on unsupervised machine learning algorithms (UMLAs), specifically Self‐Organizing Maps (SOMs), for detecting lithological boundaries in geophysical data. Using a multi‐scale experimental framework that includes bivariate isotropic clusters, geologically complex Noddy simulations, and real‐world ...
Limin Xu, Leonardo Feltrin, Eleanor C. R. Green   +2 more
wiley   +1 more source

CNXT‐Ti‐LT–Based Multi‐Scale Feature–Aware Susceptibility Mapping of Rainfall‐Induced Clustered Landslides in Southeast China

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract This study focuses on the clustered landslide event triggered by intense rainfall on 16 June 2024 in the Fujian–Guangdong–Jiangxi border region, aiming to develop an efficient deep learning model for high‐accuracy landslide susceptibility mapping. Based on the mapped landslide distribution and insights from field investigations, we constructed
Senlin Luo, Wuwei Mao, Zhiqiang Yang, Guoming Zheng, Zhonghui He, Jiahuang Wang, Yu Huang   +6 more
wiley   +1 more source

Foreland deformational pattern in the Southern Adriatic Sea

Annals of Geophysics, 1993
G. Mattietti, M. Marani, M. Ligi, M. Gasperini, F. Frugoni, P. Favalli, A. Argnani, G. Mele   +7 more
doaj   +1 more source