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3D cooperative inversion of airborne magnetic and gravity gradient data using deep learning techniques
Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Yueqing Huang, Jiefu Chen
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Deep perceptual losses for joint inversion
Yanyan Hu, Xuqing Wu, Jiefu Chen
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A deep learning enhanced framework for multi-physics joint inversion
Using joint inversion to reveal underlying geology has drawn considerable research attention due to the availability of multiple …
Yanyan Hu, Xiaolong Wei, Xuqing Wu, Jiajia Sun, Jiuping Chen, Yueqin Huang, Jiefu Chen
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A robust learning method for low-frequency extrapolation in GPR full waveform inversion
Full-waveform inversion (FWI) plays a significant role in producing high-resolution subsurface imaging in seismic prospecting and …
Yuchen Jin, Yuan Zi, Wenyi Hu, Yanyan Hu, Xuqing Wu, Jiefu Chen
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A theory-guided deep neural network for time fomain electromagnetic dimulation and inversion using a differentiable programming platform
In this communication, a trainable theory-guided recurrent neural network (RNN) equivalent to the finite-difference-time-domain (FDTD) …
Yanyan Hu, Yuchen Jin, Xuqing Wu, Jiefu Chen
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A maxwell's equations based deep learning method for time domain electromagnetic simulations
In this paper, we discuss an unsupervised deep learning (DL) method for solving time domain electromagnetic simulations. Compared to …
Pan Zhang, Yanyan Hu, Yuchen Jin, Shaogui Deng, Xuqing Wu, Jiefu Chen
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A supervised descent learning technique for solving directional electromagnetic logging-while-drilling inverse problems
In this article, a new scheme based on the supervised descent method (SDM) for solving directional electromagnetic …
Yanyan Hu, Rui Guo, Yuchen Jin, Xuqing Wu, Maokun Li, Aria Abubakar, Jiefu Chen
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