首页|Investigators from Northeast Petroleum University Have Reported New Data on Engineering (Seismic Velocity Inversion Based On Physically Constrained Neural Networks)
Investigators from Northeast Petroleum University Have Reported New Data on Engineering (Seismic Velocity Inversion Based On Physically Constrained Neural Networks)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Network Daily News - Current studyresults on Engineering have been published. According to news reporting originating from Daqing, People’sRepublic of China, by NewsRx correspondents, research stated, “The propagation velocity of seismic wavesis a crucial parameter in seismic exploration, encompassing the entire process of seismic data acquisition,processing, and interpretation. Traditional model-driven full-waveform inversion (FWI) methods, whichrely on an initial velocity, suffer from low computational efficiency.”
DaqingPeople’s Republic of ChinaAsiaEngineeringNetworksNeural NetworksNortheast Petroleum University
NETL
NSTL
