Soumi Chaki
Soumi Chaki
Postdoctoral Researcher, Uppsala University
Verified email at angstrom.uu.se
Title
Cited by
Cited by
Year
A Novel Preprocessing Scheme to Improve the Prediction of Sand Fraction From Seismic Attributes Using Neural Networks
S Chaki, A Routray, WK Mohanty
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
282015
Well tops guided prediction of reservoir properties using modular neural network concept: A case study from western onshore, India
S Chaki, AK Verma, A Routray, WK Mohanty, M Jenamani
Journal of Petroleum Science and Engineering 123, 155-163, 2014
232014
Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine-Learning Perspective
S Chaki, A Routray, WK Mohanty
IEEE Signal Processing Magazine 35 (2), 72-81, 2018
192018
A one-class classification framework using SVDD: application to an imbalanced geological dataset
S Chaki, AK Verma, A Routray, WK Mohanty, M Jenamani
Proceedings of the 2014 IEEE Students' Technology Symposium, 76-81, 2014
192014
A Diffusion Filter Based Scheme to Denoise Seismic Attributes and Improve Predicted Porosity Volume
S Chaki, A Routray, WK Mohanty
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
122017
Quantification of sand fraction from seismic attributes using Neuro-Fuzzy approach
AK Verma, S Chaki, A Routray, WK Mohanty, M Jenamani
Journal of Applied Geophysics 111, 141-155, 2014
122014
Prediction of Porosity and Sand Fraction from Well Log Data using ANN and ANFIS: a comparative study
S Chaki, AK Verma, A Routray, M Jenamani, WK Mohanty, PK Chaudhuri, ...
10th Biennial International Conference and Exposition on Petroleum Geophysics, 2013
11*2013
A Novel Framework based on SVDD to Classify Water Saturation from Seismic Attributes
S Chaki, AK Verma, A Routray, WK Mohanty, M Jenamani
2014 Fourth International Conference of Emerging Applications of Information …, 2014
92014
Reservoir Characterization: A Machine Learning Approach (http://arxiv.org/abs/1506.05070)
S Chaki
arXiv Preprint arXiv:1506.05070, 2015
8*2015
A novel multiclass SVM based framework to classify lithology from well logs: A real-world application
S Chaki, A Routray, WK Mohanty, M Jenamani
2015 Annual IEEE India Conference (INDICON), 1-5, 2015
72015
Quantifying Sand Fraction from Seismic Attributes using Modular Artificial Neural Network
AK Verma, S Chaki, A Routray, M Jenamani, WK Mohanty, PK Chaudhuri, ...
10th Biennial International Conference and Exposition on Petroleum Geophysics, 2013
42013
Development of a hybrid learning system based on SVM, ANFIS and domain knowledge: DKFIS
S Chaki, A Routray, WK Mohanty, M Jenamani
arXiv preprint arXiv:1612.00585, 2016
32016
Development of a hybrid learning system based on SVM, ANFIS and domain knowledge: DKFIS
S Chaki, A Routray, WK Mohanty, M Jenamani
2015 Annual IEEE India Conference (INDICON), 1-6, 2015
32015
Source localization using MUSIC and selection of sensor number and distance
A Naha, A Routray, S Chaki, AK Deb, S Mukhopadhyay
2016 IEEE Annual India Conference (INDICON), 1-4, 2016
22016
A Variational Mode Decomposition Based Novel Preprocessing Method for Reservoir Characterization Using Support Vector Regression
S Chaki, A Routray, WK Mohanty
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
12018
Machine Learning for Proxy Modeling of Dynamic Reservoir Systems: Deep Neural Network DNN and Recurrent Neural Network RNN Applications
S Chaki, Y Zagayevskiy, X Shi, T Wong, Z Noor
International Petroleum Technology Conference, 2020
2020
A Novel Preprocessing Method Based on Variational Mode Decomposition for Reservoir Characterization Using Support Vector Regression
S Chaki, A Routray, WK Mohanty
2019
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Articles 1–17