Chicheng Xu
Chicheng Xu
Aramco Research Center - Houston
Verified email at - Homepage
Cited by
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When Petrophysics Meets Big Data: What can Machine Do?
C Xu, S Misra, P Srinivasan, S Ma
SPE Middle East Oil and Gas Show and Conference, 18-21 March, Manama, Bahrain, 2019
Pore System Characterization and Petrophysical Rock Classification Using a Bimodal Gaussian Density Function
C Xu, C Torres-Verdín
Mathematical Geosciences 45 (6), 753-771, 2013
Formation of photovoltaic bright spatial soliton in photorefractive LiNbO3 crystal by a defocused laser beam induced by a background laser beam
WL She, CC Xu, B Guo, WK Lee
JOSA B 23 (10), 2121-2126, 2006
Rock Classification in Carbonate Reservoirs based on Static and Dynamic Petrophysical Properties Estimated from Conventional Well Logs
C Xu, Z Heidari, C Torres-Verdin
SPE Annual Technical Conference and Exhibition, 2012
Saturation-Height and Invasion Consistent Hydraulic Rock Typing Using Multi-well Conventional Logs
C Xu, C Torres-Verdín
SPWLA Annual Symposium, 2012
Machine learning workflow to predict multi-target subsurface signals for the exploration of hydrocarbon and water
O Osogba, S Misra, C Xu
Fuel 278, 118357, 2020
Quantifying fluid distribution and phase connectivity with a simple 3D cubic pore network model constrained by NMR and MICP data
C Xu, C Torres-Verdín
Computers & geosciences 61, 94-103, 2013
Synthetic Sonic Log Generation With Machine Learning: A Contest Summary From Five Methods
Y Yu, C Xu, et al.
Petrophysics 62 (04), 393-406, 2021
A Comparative Study of Three Supervised Machine-Learning Algorithms for Classifying Carbonate Vuggy Facies in the Kansas Arbuckle Formation
T Deng, C Xu, D Jobe, R Xu
SPWLA Petrophysics 60 (6), 838 - 853, 2019
Petrophysical rock classification in the Cotton Valley tight-gas sandstone reservoir with a clustering pore-system orthogonality matrix
C Xu, C Torres-Verdín
Interpretation 2 (1), T13-T23, 2014
Diagenetic Facies Classification in the Arbuckle Formation Using Deep Neural Networks
JD T Deng, C Xu, X Lang
Mathematical Geosciences, 2021
Deep-Learning-Based Vuggy Facies Identification from Borehole Images
CX J Jiang, R Xu, J.C. Scott
SPE Reservoir Evaluation & Engineering, 2020
Integration of NMR and Conventional Logs for Vuggy Facies Classification in the Arbuckle Formation: A Machine Learning Approach
CX Rui Xu, Tianqi Deng, Jiajun Jiang, Dawn Jobe
SPE Reservoir Evaluation & Engineering, 13, 2020
3D printing for experiments in petrophysics, rock physics, and rock mechanics: a review
L Kong, S Ishutov, F Hasiuk, C Xu
SPE Reservoir Evaluation & Engineering 24 (04), 721-732, 2021
Machine learning in petrophysics: Advantages and limitations
C Xu, L Fu, T Lin, W Li, S Ma
Artificial Intelligence in Geosciences 3, 157-161, 2022
Scattering from PEC cylinders by normally incident plane wave
P Tsuji, K Parrish, C Xu
The university of Texas at Austin, Tech. Rep, 2010
3D Printing of True Pore-Scale Berea Sandstone and Digital Rock Verification
A Li, S Zhang, C Xu, X Zhao, X Zhang
SPE Journal, 2021
Reservoir description with well-log-based and core-calibrated petrophysical rock classification
C Xu
Nuclear magnetic resonance (NMR) microscopic simulation based on random-walk: Theory and parameters analysis
M Tan, J Xu, Y Zou, C Xu
Journal of Central South University 21 (3), 1091-1097, 2014
Enhanced dispersion analysis of borehole array sonic measurements with amplitude and phase estimation method
W Li, R Guo, G Tao, H Wang, C Torres-Verdín, J Ma, C Xu
SEG Technical Program Expanded Abstracts 2012, 1-5, 2012
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