| Research progress of fluid discrimination with pre-stack seismic inversion XY Yin, DP Cao, BL Wang, ZY Zong Oil Geophysical Prospecting 49 (1), 22-34, 2014 | 98 | 2014 |
| Semiautomated seismic horizon interpretation using the encoder-decoder convolutional neural network H Wu, B Zhang, T Lin, D Cao, Y Lou Geophysics 84 (6), B403-B417, 2019 | 83 | 2019 |
| Reservoir physical parameters prediction based on LSTM recurrent neural network P AN, D CAO, B ZHAO, X YANG, M ZHANG Progress in Geophysics 34 (5), 1849-1858, 2019 | 51 | 2019 |
| Research and application of logging lithology identification based on deep learning P An, D CAO Progress in Geophysics 33 (3), 1029-1034, 2018 | 44 | 2018 |
| A study on the method of joint inversion of multiscale seismic data DP CAO, XY YIN, FC ZHANG, QF KONG Chinese Journal of Geophysics 52 (4), 1059-1067, 2009 | 36 | 2009 |
| Reconstruction of three-dimension digital rock guided by prior information with a combination of InfoGAN and style-based GAN D Cao, Z Hou, Q Liu, F Fu Journal of Petroleum Science and Engineering 208, 109590, 2022 | 34 | 2022 |
| Efficient pseudo-Gauss-Newton full-waveform inversion in the τ-p domain W Pan, KA Innanen, GF Margrave, D Cao Geophysics 80 (5), R225-R14, 2015 | 34 | 2015 |
| Equivalence relations of generalized rheological models for viscoelastic seismic‐wave modeling D Cao, X Yin Bulletin of the Seismological Society of America 104 (1), 260-268, 2014 | 32 | 2014 |
| Seismic fault attribute estimation using a local fault model Y Lou, B Zhang, R Wang, T Lin, D Cao Geophysics 84 (4), O73-O80, 2019 | 31 | 2019 |
| Seismic horizon picking by integrating reflector dip and instantaneous phase attributes Y Lou, B Zhang, T Lin, D Cao Geophysics 85 (2), O37-O45, 2020 | 27 | 2020 |
| VP and VS prediction from digital rock images using a combination of U-Net and convolutional neural networks R Cui, D Cao, Q Liu, Z Zhu, Y Jia Geophysics 86 (1), MR27-MR37, 2021 | 26 | 2021 |
| Accurate seismic dip and azimuth estimation using semblance dip guided structure tensor analysis Y Lou, B Zhang, T Lin, N Liu, H Wu, R Liu, D Cao Geophysics 84 (5), O103-O112, 2019 | 24 | 2019 |
| Enhancing digital rock image resolution with a GAN constrained by prior and perceptual information Z Hou, D Cao, S Ji, R Cui, Q Liu Computers & Geosciences 157, 104939, 2021 | 23 | 2021 |
| The BOPPPS teaching mode in Canada and its implications for higher education reform D Cao, X Yin Research and Exploration in Laboratory 35 (2), 196-200, 2016 | 22 | 2016 |
| The upscaling method of the well logging data based on Backus equivalence average method DP Cao Geophysical Prospecting for Petroleum 54 (1), 105-111, 2015 | 21 | 2015 |
| Multi-parameter pre-stack seismic inversion based on deep learning with sparse reflection coefficient constraints D Cao, Y Su, R Cui Journal of Petroleum Science and Engineering 209, 109836, 2022 | 20 | 2022 |
| Numerical simulation of detecting seismic signals in DAS wells GQ Ma, DP Cao, JJ Yin, Z Zhu Oil Geophysical Prospecting 50, 311-320, 2020 | 17 | 2020 |
| Three-term AVO approximation of Kf-fm-ρ and prestack seismic inversion for deep reservoirs XY Yin, HX Wang, DP Cao, Q Zhou, W Sun Oil Geophys. Prospect 53, 129-135, 2018 | 17 | 2018 |
| Multi-task learning for digital rock segmentation and characteristic parameters computation D Cao, S Ji, R Cui, Q Liu Journal of Petroleum Science and Engineering 208, 109202, 2022 | 16 | 2022 |
| Generating seismic horizon using multiple seismic attributes B Zhang, J Qi, Y Lou, H Fang, D Cao IEEE Geoscience and Remote Sensing Letters 18 (6), 979-983, 2020 | 16 | 2020 |
