Results 101 to 110 of about 24,964,284 (390)

Adaptive SVD Denoising in Time Domain and Frequency Domain

open access: yesApplied Sciences
In seismic data processing, noise not only affects velocity analysis and seismic migration, but also causes potential risks in post-stack processing because of the artifacts.
Meixuan Ren   +5 more
doaj   +1 more source

Fast dictionary learning for noise attenuation of multidimensional seismic data

open access: yesGeophysical Journal International, 2017
The K-SVD algorithm has been successfully utilized for adaptively learning the sparse dictionary in 2-D seismic denoising. Because of the high computational cost of many singular value decompositions (SVDs) in the K-SVD algorithm, it is not applicable ...
Yangkang Chen
semanticscholar   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

open access: yesDeep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza   +4 more
wiley   +1 more source

Combined Gravimetric-Seismic Moho Model of Tibet

open access: yesGeosciences, 2018
Substantial progress has been achieved over the last four decades to better understand a deep structure in the Himalayas and Tibet. Nevertheless, the remoteness of this part of the world still considerably limits the use of seismic data.
Alexey Baranov   +2 more
doaj   +1 more source

Lunar seismic data analysis [PDF]

open access: yes
The scientific data transmitted continuously from all ALSEP (Apollo Lunar Surface Experiment Package) stations on the Moon and recorded on instrumentation tapes at receiving stations distributed around the Earth were processed.
Dorman, H. J.   +2 more
core   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

open access: yesDeep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu   +8 more
wiley   +1 more source

Seismic analysis and design of tunnels within fault ground: A review

open access: yesDeep Underground Science and Engineering, EarlyView.
The research methods of seismic response of tunnels within fault ground, including field investigations, analytical solutions, physical experiments, and numerical simulations, and seismic countermeasures are discussed. The present study examines the shortcomings and limitations of the current research and design, and puts forward proposals for future ...
Xingda Wang   +6 more
wiley   +1 more source

Measuring the Fractal Properties of Reservoirs for Use in Modeling CCUS Potential

open access: yesEarth and Space Science
The injection of CO2 underground into reservoirs for carbon capture and underground storage (CCUS) is highly sensitive to heterogeneity and anisotropy. Although conventional geological modeling cannot take explicit account of heterogeneity or anisotropy ...
Mehdi Yaghoobpour   +3 more
doaj   +1 more source

Thermal‐induced fracture evolution and acoustic signature of Beishan granite: Insights into tensile strength of barrier system for high‐level radioactive waste disposal

open access: yesDeep Underground Science and Engineering, EarlyView.
The tensile strength of granite, a proposed host for nuclear waste, degrades severely above 400°C. We link this to specific microcracking patterns captured by acoustic emission, establishing a scientific basis for assessing repository safety under thermal load.
Wei Zeng   +7 more
wiley   +1 more source

Transformer and Convolutional Hybrid Neural Network for Seismic Impedance Inversion

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The inversion of elastic parameters especially P-wave impedance is an essential task in seismic exploration. Over the years, deep learning methods have made significant achievements in seismic impedance inversion, and convolutional neural networks (CNNs)
Chunyu Ning, Bangyu Wu, Baohai Wu
doaj   +1 more source

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