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 | 44 | 2021 |
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 | 30 | 2022 |
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 | 23 | 2022 |
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 | 21 | 2021 |
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 | 15 | 2019 |
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 | 10 | 2023 |
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 | 9 | 2023 |
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 | 8 | 2018 |
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 | 7 | 2021 |
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 | 6 | 2023 |
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 | 6 | 2020 |
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 | 5 | 2024 |
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 | 5 | 2023 |
Recurrent neural network: application in facies classification M Tian, S Verma Advances in Subsurface Data Analytics, 65-94, 2022 | 5 | 2022 |
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 | 4 | 2021 |
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 | 3 | 2020 |
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 | 3 | 2019 |
Multi-granularity retrieval of mineral resource geological reports based on multi-feature association K Ma, J Deng, M Tian, L Tao, J Liu, Z Xie, H Huang, Q Qiu Ore Geology Reviews, 105889, 2024 | 2 | 2024 |
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 | 2 | 2023 |
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 | 2 | 2020 |