Results 91 to 100 of about 101,769 (259)
Transformer and Convolutional Hybrid Neural Network for Seismic Impedance Inversion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe 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
Seismic anisotropy in siliciclastic reservoir rocks [PDF]
, 2006 The interpretation of geophysical field measurements of seismic anisotropy is presently limited by our knowledge of the controls of the elastic anisotropy of sedimentary rocks in the subsurface. Traditionally, laboratory ultrasonic velocity measurements
Maddock, Jamie Stewart
core
Deep Underground Science and Engineering, EarlyView.This study reveals the failure evolution characteristics of deep cross‐fault roadway surrounding rock under excavation support and periodic weighting. Periodic weighting readily induces fault activation, with the spatial distribution of failed rock masses being controlled by the fault strike and dip.
Tiezhu Li +4 more
wiley +1 more source
Multi-Scale Acoustic Velocity Inversion Based on a Convolutional Neural Network
Remote SensingThe full waveform inversion at this stage still has many problems in the recovery of deep background velocities. Velocity modeling based on end-to-end deep learning usually lacks a generalization capability.
Wenda Li, Tianqi Wu, Hong Liu
doaj +1 more source
seismic-py: Reading seismic data with Python
, 2008 The field of seismic exploration of the Earth has changed dramatically over the last half a century. The Society of Exploration Geophysicists (SEG) has worked to create standards to store the vast amounts of seismic data in a way that will be portable across computer architectures.
openaire +1 more source
Community Seismic Network Earthquake Dataset: http://csn.caltech.edu/data/
Acceleration waveform time series recorded by Community Seismic Network (CSN) strong-motion stations for select California and global earthquakes. The data can be downloaded from the Community Seismic Network's publicly-available website: http://csn ...
Community Seismic Network
core +1 more source
Towards using seismic anisotropy to interpret ductile deformation in mafic lower crust [PDF]
, 2008 The lower crust forms an important geodynamic control in continental tectonics and the communication and coupling of kinematics between surface and deep-Earth processes.
Tatham, Daniel John
core
Three-dimensional joint inversion of traveltime and gravity data across the Chicxulub impact crater
, 2009 In 2005 an extensive new seismic refraction data set was acquired over the central part of the Chicxulub impact crater, allowing us to image its structure with much better resolution than before.
Morgan, J. V. +8 more
core +1 more source
, 2020 Seismic data used in Liu, S., Suardi, I., Zheng, M., Yang, D., Huang, X., & Tong, P. (2019). Slab morphology beneath northern Sumatra revealed by regional and teleseismic traveltime tomography. Journal of Geophysical Research: Solid Earth, 124.
Tong, Ping
core +1 more source
Ecography, EarlyView.Latitudinal diversity gradients (LDGs) arise from the interplay of historical, ecological, and evolutionary processes, yet these drivers may differ across landforms. Mountains, with steep elevational and climatic gradients, often sustain distinct diversity dynamics compared with adjacent lowlands, where vertical climatic gradients are weak and human ...
Zhenyuan Liu +5 more
wiley +1 more source