| 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 | 60 | 2018 |
| 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 | 35 | 2015 |
| 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 | 35 | 2014 |
| 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 | 25 | 2014 |
| 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, D022S152R002, 2020 | 22 | 2020 |
| A probabilistic neural network (PNN) based framework for lithology classification using seismic attributes S Chaki, A Routray, WK Mohanty Journal of Applied Geophysics 199, 104578, 2022 | 19 | 2022 |
| 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 | 18 | 2017 |
| 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 | 18 | 2015 |
| Reservoir Characterization: A Machine Learning Approach (http://arxiv.org/abs/1506.05070) S Chaki arXiv Preprint arXiv:1506.05070, 2015 | 17* | 2015 |
| 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 | 17 | 2014 |
| 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 | 15* | 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 | 10 | 2014 |
| A Novel Preprocessing Method Based on Variational Mode Decomposition for Reservoir Characterization Using Support Vector Regression S Chaki, A Routray, WK Mohanty | 8 | 2019 |
| 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 | 8 | 2013 |
| 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 | 4 | 2016 |
| 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 | 4 | 2015 |
| Data-driven domain conversion using machine learning techniques S Roy, S Chaki, S Vallabhaneni US Patent 11,614,557, 2023 | 3 | 2023 |
| Application of machine learning algorithms for petroleum reservoir characterization S Chaki, A Routray, WK Mohanty Handbook of Petroleum Geoscience: Exploration, Characterization, and …, 2022 | 3 | 2022 |
| 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 | 3 | 2018 |
| A Proxy Flow Modelling Workflow to Estimate Gridded Dynamic Properties and Well Production Rates by Deep Learning Algorithms S Chaki, Y Zagayevskiy, T Wong SPE Asia Pacific Oil and Gas Conference and Exhibition, D011S009R001, 2021 | 2 | 2021 |
Aurobinda RoutrayProfessor, Department of Electrical Engineering, IIT KharagpurVerified email at ee.iitkgp.ernet.in
