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Miao Tian
Miao Tian
Department of Mathematical Science, Norwegian University of Science and Technology
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Inversion of well logs into lithology classes accounting for spatial dependencies by using hidden markov models and recurrent neural networks
M Tian, H Omre, H Xu
Journal of Petroleum Science and Engineering 196, 107598, 2021
422021
What is this article about? Generative summarization with the BERT model in the geosciences domain
K Ma, M Tian, Y Tan, X Xie, Q Qiu
Earth Science Informatics, 1-16, 2022
302022
Extraction of temporal information from social media messages using the BERT model
K Ma, Y Tan, M Tian, X Xie, Q Qiu, S Li, X Wang
Earth Science Informatics 15 (1), 573-584, 2022
232022
Deep learning assisted well log inversion for fracture identification
M Tian, B Li, H Xu, D Yan, Y Gao, X Lang
Geophysical Prospecting 69 (2), 419-433, 2021
202021
Artificial neural network assisted prediction of dissolution spatial distribution in the volcanic weathered crust: A case study from Chepaizi Bulge of Junggar Basin …
M Tian, H Xu, J Cai, J Wang, Z Wang
Marine and Petroleum Geology 110, 928-940, 2019
152019
A question answering system based on mineral exploration ontology generation: A deep learning methodology
Q Qiu, M Tian, K Ma, YJ Tan, L Tao, Z Xie
Ore Geology Reviews 153, 105294, 2023
102023
Geological symbol recognition on geological map using convolutional recurrent neural network with augmented data
Q Qiu, Y Tan, K Ma, M Tian, Z Xie, L Tao
Ore Geology Reviews 153, 105262, 2023
92023
火成岩蚀变层段的有效储层识别及孔隙度定量表征——以滨南油田沙四段上亚段火成岩为例
王敏, 王永诗, 田淼, 傅爱兵, 朱家俊, 张顺, 余光华
油气地质与采收率 25 (4), 22-27, 2018
82018
A new workflow for multi-well lithofacies interpretation integrating joint petrophysical inversion, unsupervised, and supervised machine learning
S Verma, S Bhattacharya, NUMK Chowdhury, M Tian
SEG International Exposition and Annual Meeting, D011S093R002, 2021
62021
Sedimentary architecture of hyperpycnal flow deposits: Cretaceous Sangyuan outcrop, from the Luanping Basin, North East China
D Yan, H Xu, Z Xu, Z Lei, M Tian, L Cheng, Y Ma, Z Wang, M Ostadhassan
Marine and Petroleum Geology 121, 104593, 2020
62020
Ontology-based BERT model for automated information extraction from geological hazard reports
K Ma, M Tian, Y Tan, Q Qiu, Z Xie, R Huang
Journal of Earth Science 34 (5), 1390-1405, 2023
52023
Recurrent neural network: application in facies classification
M Tian, S Verma
Advances in Subsurface Data Analytics, 65-94, 2022
52022
Impact of petrographic characteristics on reservoir quality of tight sandstone reservoirs in coal‐bearing strata: A case study in Lower Permian Shihezi Formation in northern …
Z Liu, S Wu, J Li, Z Xu, M Tian, T Zhang, Y An
Geological Journal 56 (6), 3097-3117, 2021
42021
Chinese engineering geological named entity recognition by fusing multi-features and data enhancement using deep learning
Q Qiu, M Tian, Z Huang, Z Xie, K Ma, L Tao, D Xu
Expert Systems with Applications 238, 121925, 2024
32024
Recognition of geological legends on a geological profile via an improved deep learning method with augmented data using transfer learning strategies
M Tian, K Ma, Z Liu, Q Qiu, Y Tan, Z Xie
Ore Geology Reviews 153, 105270, 2023
32023
Mesozoic multistage structural deformation along the Ke‐Bai fault zone in the north‐west Junggar Basin, NW China
D Yan, H Xu, Z Xu, M Tian, Z Lei
Geological Journal 55 (6), 4097-4111, 2020
32020
Well logs inversion into lithology classes: Comparing Bayesian inversion and machine learning
M Tian, H Omre, H Xu
Petroleum Geostatistics 2019 2019 (1), 1-5, 2019
32019
BERTCWS: unsupervised multi-granular Chinese word segmentation based on a BERT method for the geoscience domain
Q Qiu, Z Xie, K Ma, M Tian
Annals of GIS 29 (3), 387-399, 2023
22023
Application of seismic attributes and machine learning for imaging submarine slide blocks on the North Slope, Alaska
S Bhattacharya, M Tian, J Rotzien, S Verma
SEG Technical Program Expanded Abstracts 2020, 1096-1100, 2020
22020
Effect of Turbidite Fan Sedimentary System on Reservoir Diagenesis in Chexi Sag
YU Yongpeng, D Chunmei, REN Lihua, T Miao
Journal of Petrochemical Universities 31 (5), 53, 2018
2*2018
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