Comparison of supervised and unsupervised approaches for mudstone lithofacies classification: Case studies from the Bakken and Mahantango-Marcellus Shale, USA S Bhattacharya, TR Carr, M Pal Journal of Natural Gas Science and Engineering 33, 1119-1133, 2016 | 154 | 2016 |
Applications of machine learning for facies and fracture prediction using Bayesian Network Theory and Random Forest: Case studies from the Appalachian basin, USA S Bhattacharya, S Mishra Journal of Petroleum Science and Engineering 170, 1005-1017, 2018 | 137 | 2018 |
Application of predictive data analytics to model daily hydrocarbon production using petrophysical, geomechanical, fiber-optic, completions, and surface data: A case study from … S Bhattacharya, PK Ghahfarokhi, TR Carr, S Pantaleone Journal of Petroleum Science and Engineering 176, 702-715, 2019 | 73 | 2019 |
A fiber-optic assisted multilayer perceptron reservoir production modeling: A machine learning approach in prediction of gas production from the marcellus shale PK Ghahfarokhi, T Carr, S Bhattacharya, J Elliott, A Shahkarami, K Martin Unconventional Resources Technology Conference, Houston, Texas, 23-25 July …, 2018 | 39 | 2018 |
Integrated data-driven 3D shale lithofacies modeling of the Bakken Formation in the Williston basin, North Dakota, United States S Bhattacharya, TR Carr Journal of Petroleum Science and Engineering 177, 1072-1086, 2019 | 35 | 2019 |
The role of salt tectonics in the energy transition: An overview and future challenges O Duffy, M Hudec, F Peel, G Apps, A Bump, L Moscardelli, T Dooley, ... Tektonika 1 (1), 2023 | 29 | 2023 |
Application of volumetric seismic attributes for complex fault network characterization on the North Slope, Alaska S Bhattacharya, S Verma Journal of Natural Gas Science and Engineering 65, 56-67, 2019 | 24 | 2019 |
Delineation of early Jurassic aged sand dunes and paleo-wind direction in southwestern Wyoming using seismic attributes, inversion, and petrophysical modeling S Verma, S Bhattacharya, B Lujan, D Agrawal, S Mallick Journal of Natural Gas Science and Engineering 60, 1-10, 2018 | 21 | 2018 |
A primer on machine learning in subsurface geosciences S Bhattacharya Springer 1, 1-172, 2021 | 19 | 2021 |
Integrated petrofacies characterization and interpretation of depositional environment of the Bakken Shale in the Williston Basin, North America S Bhattacharya, TR Carr Petrophysics 57 (02), 95-110, 2016 | 17 | 2016 |
Hydrogen infrastructure expansion requires realistic framework MW Shuster, S Bhattacharya, IJ Duncan, P Eichhubl, SA Hosseini, ... Oil and Gas Journal 119 (5), 50-58, 2021 | 16 | 2021 |
Seismic attribute and petrophysics-assisted interpretation of the Nanushuk and Torok Formations on the North Slope, Alaska S Bhattacharya, S Verma Interpretation 8 (2), SJ17-SJ34, 2020 | 16 | 2020 |
Petrophysical analysis and mudstone lithofacies classification of the HRZ shale, North Slope, Alaska TS Williams, S Bhattacharya, L Song, V Agrawal, S Sharma Journal of Petroleum Science and Engineering 208, 109454, 2022 | 8 | 2022 |
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 |
Shear wave slowness prediction integrating unsupervised multivariate time series clustering and ensemble class-based machine learning S Bhattacharya SEG International Exposition and Annual Meeting, D011S061R006, 2021 | 7 | 2021 |
Preservation of organic carbon in the Cretaceous Hue Shale on the North Slope of Alaska: Insights from pyrite morphology L Song, S Bhattacharya, Z Webb, A Fowler, V Lee International Journal of Coal Geology 235, 103678, 2021 | 7 | 2021 |
Integrated Geologic Analysis From Two Marcellus Shale Science Wells in Northeastern West Virginia TJ Paronish, S Bhattacharya, TR Carr AAPG Annual Convention and Exhibition, Calgary, Canada, 2016 | 6 | 2016 |
Shale Lithofacies Classification and Modeling: Case Studies From the Bakken and Marcellus Formations, North America S Bhattacharya, TR Carr, G Wang AAPG Annual Convention and Exhibition, Denver, Colorado, USA, 2015 | 6 | 2015 |
Summarized applications of machine learning in subsurface geosciences S Bhattacharya A Primer on Machine Learning in Subsurface Geosciences, 123-165, 2021 | 5 | 2021 |
The classification and interpretation of the polyphase fault network on the North Slope, Alaska using deep learning S Bhattacharya, H Di SEG Technical Program Expanded Abstracts 2020, 3847-3851, 2020 | 5 | 2020 |