Прати
Shuvajit Bhattacharya
Shuvajit Bhattacharya
Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin
Верификована је имејл адреса на beg.utexas.edu - Почетна страница
Наслов
Навело
Навело
Година
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
1692016
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
1592018
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
772019
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
452023
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
422018
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
402019
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
282019
A primer on machine learning in subsurface geosciences
S Bhattacharya
Springer 1, 1-172, 2021
222021
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
212018
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
212016
Hydrogen infrastructure expansion requires realistic framework
MW Shuster, S Bhattacharya, IJ Duncan, P Eichhubl, SA Hosseini, ...
Oil & Gas Journal 119 (5), 2021
182021
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
162020
Unsupervised time series clustering, class-based ensemble machine learning, and petrophysical modeling for predicting shear sonic wave slowness in heterogeneous rocks
S Bhattacharya
Geophysics 87 (5), D161-D174, 2022
112022
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
112022
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
112021
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
102021
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
82021
Summarized applications of machine learning in subsurface geosciences
S Bhattacharya
A Primer on Machine Learning in Subsurface Geosciences, 123-165, 2021
72021
Generating 3D lithology probability volumes using poststack inversion, probabilistic neural networks, and Bayesian classification—A case study from the mixed carbonate and …
S Karakaya, OC Ogiesoba, C Olariu, S Bhattacharya
Geophysics 89 (2), B131-B146, 2024
62024
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
62016
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