Dr Ying Da Wang

Back to

PhD: 2020, UNSW, Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis and micro-CT Imaging

E-mail

yingda.wang@unsw.edu.au

Location

Level 2 Tyree Energy Technologies Building

Book Chapters | 2021

McClure JE; Yin J; Armstrong RT; Maheshwari KC; Wilkinson S; Vlcek L; Da Wang Y; Berrill MA; Rivers M, 2021, 'Toward real-time analysis of synchrotron micro-tomography data: Accelerating experimental workflows with AI and HPC', in Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, Springer International Publishing, pp. 226 - 239, http://dx.doi.org/10.1007/978-3-030-63393-6_15
Journal articles | 2023

Meyer Q; Liu S; Ching K; Da Wang Y; Zhao C, 2023, 'Operando monitoring of the evolution of triple-phase boundaries in proton exchange membrane fuel cells', Journal of Power Sources, vol. 557, pp. 232539 - 232539, http://dx.doi.org/10.1016/j.jpowsour.2022.232539

Journal articles | 2023

Tang K; Wang YD; Niu Y; Honeyands TA; Dea DO; Mostaghimi P; Armstrong RT; Knackstedt M, 2023, 'Particle classification of iron ore sinter green bed mixtures by 3D X-ray microcomputed tomography and machine learning', Powder Technology, vol. 415, pp. 118151 - 118151, http://dx.doi.org/10.1016/j.powtec.2022.118151

Journal articles | 2023

Wang YD; Meyer Q; Tang K; McClure JE; White RT; Kelly ST; Crawford MM; Iacoviello F; Brett DJL; Shearing PR; Mostaghimi P; Zhao C; Armstrong RT, 2023, 'Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning', Nature Communications, vol. 14, pp. 745, http://dx.doi.org/10.1038/s41467-023-35973-8

Journal articles | 2022

Alqahtani NJ; Niu Y; Wang YD; Chung T; Lanetc Z; Zhuravljov A; Armstrong RT; Mostaghimi P, 2022, 'Super-Resolved Segmentation of X-ray Images of Carbonate Rocks Using Deep Learning', Transport in Porous Media, vol. 143, pp. 497 - 525, http://dx.doi.org/10.1007/s11242-022-01781-9

Journal articles | 2022

Ebadi M; Armstrong RT; Mostaghimi P; Wang YD; Alqahtani N; Amirian T; James LA; Parmar A; Zahra D; Hamze H; Koroteev D, 2022, 'Predictive Soft Computing Methods for Building Digital Rock Models Verified by Positron Emission Tomography Experiments', Water Resources Research, vol. 58, http://dx.doi.org/10.1029/2021WR031814

Journal articles | 2022

Higgs S; Da Wang Y; Sun C; Ennis-King J; Jackson SJ; Armstrong RT; Mostaghimi P, 2022, 'In-situ hydrogen wettability characterisation for underground hydrogen storage', International Journal of Hydrogen Energy, vol. 47, pp. 13062 - 13075, http://dx.doi.org/10.1016/j.ijhydene.2022.02.022

Journal articles | 2022

Tang K; Da Wang Y; McClure J; Chen C; Mostaghimi P; Armstrong RT, 2022, 'Generalizable Framework of Unpaired Domain Transfer and Deep Learning for the Processing of Real-Time Synchrotron-Based X-Ray Microcomputed Tomography Images of Complex Structures', Physical Review Applied, vol. 17, http://dx.doi.org/10.1103/PhysRevApplied.17.034048

Journal articles | 2022

Tang K; Meyer Q; White R; Armstrong RT; Mostaghimi P; Da Wang Y; Liu S; Zhao C; Regenauer-Lieb K; Tung PKM, 2022, 'Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells', Computers and Chemical Engineering, vol. 161, pp. 107768 - 107768, http://dx.doi.org/10.1016/j.compchemeng.2022.107768

Journal articles | 2022

Tang K; Wang YD; Mostaghimi P; Knackstedt M; Hargrave C; Armstrong RT, 2022, 'Deep convolutional neural network for 3D mineral identification and liberation analysis', Minerals Engineering, vol. 183, pp. 107592 - 107592, http://dx.doi.org/10.1016/j.mineng.2022.107592

Journal articles | 2021

Alqahtani NJ; Chung T; da Wang Y; Armstrong RT; Swietojanski P; Mostaghimi P, 2021, 'Flow-based characterization of digital rock images using deep learning', SPE Journal, vol. 26, pp. 1800 - 1811, http://dx.doi.org/10.2118/205376-PA

Journal articles | 2021

Chung T; Wang YD; Armstrong RT; Mostaghimi P, 2021, 'Minimising the impact of sub-resolution features on fluid flow simulation in porous media', Journal of Petroleum Science and Engineering, vol. 207, pp. 109055 - 109055, http://dx.doi.org/10.1016/j.petrol.2021.109055

Journal articles | 2021

Niu Y; Da Wang Y; Mostaghimi P; McClure JE; Yin J; Armstrong RT, 2021, 'Geometrical-Based Generative Adversarial Network to Enhance Digital Rock Image Quality', Physical Review Applied, vol. 15, http://dx.doi.org/10.1103/PhysRevApplied.15.064033

Journal articles | 2021

Wang YD; Blunt MJ; Armstrong RT; Mostaghimi P, 2021, 'Deep learning in pore scale imaging and modeling', Earth-Science Reviews, vol. 215, http://dx.doi.org/10.1016/j.earscirev.2021.103555

Journal articles | 2021

Wang YD; Chung T; Armstrong RT; Mostaghimi P, 2021, 'ML-LBM: Predicting and Accelerating Steady State Flow Simulation in Porous Media with Convolutional Neural Networks', Transport in Porous Media, vol. 138, pp. 49 - 75, http://dx.doi.org/10.1007/s11242-021-01590-6

Journal articles | 2021

Wang YD; Chung T; Rabbani A; Armstrong RT; Mostaghimi P, 2021, 'Fast direct flow simulation in porous media by coupling with pore network and Laplace models', Advances in Water Resources, vol. 150, http://dx.doi.org/10.1016/j.advwatres.2021.103883

Journal articles | 2021

Wang YD; Shabaninejad M; Armstrong RT; Mostaghimi P, 2021, 'Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images', Applied Soft Computing, vol. 104, pp. 107185 - 107185, http://dx.doi.org/10.1016/j.asoc.2021.107185

Journal articles | 2020

Alzahid YA; Aborshaid H; Asali M; McClure J; Chen C; Mostaghimi P; Da Wang Y; Sun C; Armstrong RT, 2020, 'Real-time synchrotron-based X-ray computed microtomography during in situ emulsification', Journal of Petroleum Science and Engineering, vol. 195, http://dx.doi.org/10.1016/j.petrol.2020.107885

Journal articles | 2020

Chung T; Da Wang Y; Armstrong RT; Mostaghimi P, 2020, 'CNN-PFVS: Integrating Neural Network and Finite Volume Models to Accelerate Flow Simulation on Pore Space Images', Transport in Porous Media, vol. 135, pp. 25 - 37, http://dx.doi.org/10.1007/s11242-020-01466-1

Journal articles | 2020

Chung T; Wang YD; Armstrong RT; Mostaghimi P, 2020, 'Voxel agglomeration for accelerated estimation of permeability from micro-CT images', Journal of Petroleum Science and Engineering, vol. 184, http://dx.doi.org/10.1016/j.petrol.2019.106577

Journal articles | 2020

Niu Y; Wang YD; Mostaghimi P; Swietojanski P; Armstrong RT, 2020, 'An Innovative Application of Generative Adversarial Networks for Physically Accurate Rock Images With an Unprecedented Field of View', Geophysical Research Letters, vol. 47, http://dx.doi.org/10.1029/2020GL089029

Journal articles | 2020

Rabbani A; Babaei M; Shams R; Wang YD; Chung T, 2020, 'DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials', Advances in Water Resources, vol. 146, http://dx.doi.org/10.1016/j.advwatres.2020.103787

Journal articles | 2020

Wang YD; Armstrong RT; Mostaghimi P, 2020, 'Boosting Resolution and Recovering Texture of 2D and 3D Micro-CT Images with Deep Learning', Water Resources Research, vol. 56, http://dx.doi.org/10.1029/2019WR026052

Journal articles | 2020

Wang YD; Chung T; Armstrong RT; McClure J; Ramstad T; Mostaghimi P, 2020, 'Accelerated Computation of Relative Permeability by Coupled Morphological and Direct Multiphase Flow Simulation', Journal of Computational Physics, vol. 401, http://dx.doi.org/10.1016/j.jcp.2019.108966

Journal articles | 2020

Wang YD; Chung T; Armstrong RT; Mostaghimi P, 2020, 'ML-LBM: Machine Learning Aided Flow Simulation in Porous Media', , http://arxiv.org/abs/2004.11675v1

Journal articles | 2020

Wang YD; Shabaninejad M; Armstrong RT; Mostaghimi P, 2020, 'Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images', , http://arxiv.org/abs/2002.05322v2

Journal articles | 2019

Chung T; Wang YD; Armstrong RT; Mostaghimi P, 2019, 'Approximating permeability of microcomputed-tomography images using elliptic flow equations', SPE Journal, vol. 24, pp. 1154 - 1163, http://dx.doi.org/10.2118/191379-PA

Journal articles | 2019

Wang YD; Armstrong RT; Mostaghimi P, 2019, 'Enhancing Resolution of Digital Rock Images with Super Resolution Convolutional Neural Networks', Journal of Petroleum Science and Engineering, vol. 182, http://dx.doi.org/10.1016/j.petrol.2019.106261

Journal articles | 2019

Wang YD; Chung T; Armstrong RT; McClure JE; Mostaghimi P, 2019, 'Computations of permeability of large rock images by dual grid domain decomposition', Advances in Water Resources, vol. 126, pp. 1 - 14, http://dx.doi.org/10.1016/j.advwatres.2019.02.002

Journal articles | 2018

Aljehani AS; Wang YD; Rahman SS, 2018, 'An innovative approach to relative permeability estimation of naturally fractured carbonate rocks', Journal of Petroleum Science and Engineering, vol. 162, pp. 309 - 324, http://dx.doi.org/10.1016/j.petrol.2017.12.055
Conference Papers | 2020

Rushood IA; Alqahtani N; da Wang Y; Shabaninejad M; Armstrong R; Mostaghimi P, 2020, 'Segmentation of X-ray images of rocks using deep learning', in Proceedings - SPE Annual Technical Conference and Exhibition, Society of Petroleum Engineers, presented at SPE Annual Technical Conference and Exhibition, http://dx.doi.org/10.2118/201282-ms

Conference Papers | 2020

Yuan M; Jing Y; Wang YD; Armstrong R; Mostaghimi P, 2020, 'A coupled diffusion model for gas transport in tight unconventional reservoirs', in Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference 2020, ADIP 2020, Society of Petroleum Engineers, presented at Abu Dhabi International Petroleum Exhibition & Conference, http://dx.doi.org/10.2118/202616-ms

My Teaching

Enhanced Oil Recovery - 2021

Production Engineering - 2021

Business Practices in the Petroleum Industry - 2020, 2021

Follow

Dr Ying Da Wang

Follow me