Robotics & Machine Learning Daily News2024,Issue(Jan.25) :43-44.

Investigators from Northeast Petroleum University Have Reported New Data on Engineering (Seismic Velocity Inversion Based On Physically Constrained Neural Networks)

Robotics & Machine Learning Daily News2024,Issue(Jan.25) :43-44.

Investigators from Northeast Petroleum University Have Reported New Data on Engineering (Seismic Velocity Inversion Based On Physically Constrained Neural Networks)

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Abstract

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.”

Key words

Daqing/People’s Republic of China/Asia/Engineering/Networks/Neural Networks/Northeast Petroleum University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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