2022

Yu Y, Cilliers J, Hadler K, Starr S & Wang Y (2022) A review of particle transport and separation by electrostatic traveling wave methodsJournal of Electrostaticsdoi: 10.1016/j.elstat.2022.103735

005_Yu_Yue

  • Mr Yue Yu

    Personal details

    Mr Yue Yu

    Summary

    We provide a comprehensive review on the particle movement mechanisms and the development and application of ETW methods, featuring a diverse range of hardware and circuitry, particulate material and process objectives.

    Biography

    Yue Yu started his PhD studies on "Fluid-free fine particle transport and separation" at Resource Geophysics Academy in October 2020. 

Xu Q & Wang Y (2022) Spatial filter for the pseudo-spectral implementation of fractional derivative wave equationPure and Applied Geophysicsdoi: 10.1007/s00024-022-03083-z

004

  • Mr Qiang Xu

    Personal details

    Mr Qiang Xu

    Summary

    For the seismic wave equation formulated in terms of fractional spatial derivatives (FSD), a spatial position dependent filter was introduced in this paper. This reformulation with spatial filter adequately represents the viscoelastic effect in seismic wave propagation and leads to a high accuracy of the seismic wave simulation.   

    Biography

    Qiang Xu started his PhD studies on "Seismic reverse-time migration in the viscoelastic media" at Resource Geophysics Academy in September 2019. 

Yao J, Warner M & Wang Y (2022) Generating surface-offset common-image gathers with backward wavefield synthesis, Geophysics, Vol: 87, Pages: S129-S135, doi: 10.1190/geo2021-0398.1

003

  • Dr Jiashun Yao

    Personal details

    Dr Jiashun Yao

    Summary

    We implement the generation of surface-offset CIGs in RTM by synthesizing the backward wavefields using the forward wavefields. This method produces surface-offset CIGs with high accuracy and low cost.

    Biography

    Jiashun Yao started his Research Associate at Resource Geophysics Academy in 2019. 

Song C & Wang Y (2022) High-frequency wavefield extrapolation using the Fourier neural operator, Journal of Geophysics and Engineering, Vol: 19, Pages: 269-282, doi: 10.1093/jge/gxac016

002_Song_Chao

  • Dr Chao Song

    Personal details

    Dr Chao Song

    Summary

    We demonstrate that a data-driven machine learning method, called the Fourier neural operator (FNO), is capable of predicting high-frequency wavefields, based on a limited number of low-frequency components. The predicted wavefields are accurate and dispersion free.

    Biogarphy

    Chao Song worked as a Research Associate at Resource Geophysics Academy during 2021 to 2022. He is now a professor at Jilin University, China.

Yao J & Wang Y (2022) Building a full-waveform inversion starting model from wells with dynamic time warping and convolutional neural networks, Geophysics, Vol: 87, Pages: R223-R230, doi: 10.1190/GEO2021-0168.1

001_Yao_Jiashun

  • Dr Jiashun Yao

    Personal details

    Dr Jiashun Yao

    Summary

    We have built a feasible starting model from wells by applying dynamic time warping (DTW) localized rewarp and convolutional neural network (CNN) methods alternatively. This method is robust against kinematic incorrectness in a given initial velocity model.

    Biography

    Jiashun Yao started his Research Associate at Resource Geophysics Academy in 2019.