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Shuvajit Bhattacharya
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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
832016
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
792018
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
322019
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
202019
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
192018
Integrated petrofacies characterization and interpretation of depositional environment of the Bakken Shale in the Williston Basin, North America
S Bhattacharya, TR Carr
Petrophysics-The SPWLA Journal of Formation Evaluation and Reservoir …, 2016
142016
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
132019
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
132018
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
112020
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
72016
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
52015
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
42020
Delineation of Complex fault network North Slope, Alaska using seismic attributes
S Verma, S Bhattacharya
SEG Technical Program Expanded Abstracts 2019, 1893-1897, 2019
42019
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
32021
3D seismic imaging of the submarine slide blocks on the North Slope, Alaska
S Bhattacharya, S Verma, JR Rotzien
Interpretation 8 (4), SR37-SR44, 2020
22020
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
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
12022
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
First International Meeting for Applied Geoscience & Energy, 2213-2217, 2021
12021
Shear wave slowness prediction integrating unsupervised multivariate time series clustering and ensemble class-based machine learning
S Bhattacharya
First International Meeting for Applied Geoscience & Energy, 1470-1474, 2021
12021
Automated detection of bad borehole sections and evaluation of log quality using Toeplitz Inverse Covariance-based Clustering
S Bhattacharya
First International Meeting for Applied Geoscience & Energy, 347-351, 2021
12021
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Articles 1–20