2022

Zhang H, Brito-Parada P, Neethling S & Wang Y (2022) Yield stress of foam flow in porous media: The effect of bubble trapping, Colloids and Surfaces A: Physicochemical and Engineering Aspects, doi: 10.1016/j.colsurfa.2022.130246

006_Zhang_Haosen

  • Mr Haosen Zhang

    Personal details

    Mr Haosen Zhang

    Summary

    Based on a traditional sub-pore level method and utilizing the pore connectivity, we proposed a pore-network level method in order to study the effect of bubble trapping on foam’s yield stress. We find that a foam film moves in a non-smooth way even in a rounded pore when trapped films present in neighboring pores, which consequently alters the yield stress.

    Biography

    Haosen Zhang started his PhD studies on "Foam flow simulation in porous media" at Resource Geophysics Academy in October 2020. 

Yu Y, Cilliers J, Hadler K, Starr S & Wang Y (2022) A review of particle transport and separation by electrostatic traveling wave methods, Journal of Electrostatics, doi: 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 equation, Pure and Applied Geophysics, doi: 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.