| A thermodynamic basis for the derivation of the Darcy, Forchheimer and Brinkman models for flows through porous media and their generalizations S Srinivasan, KR Rajagopal International Journal of Non-Linear Mechanics 58, 162-166, 2014 | 59 | 2014 |
| Identifying Backbones in Three-Dimensional Discrete Fracture Networks: A Bipartite Graph-Based Approach JD Hyman, A Hagberg, D Osthus, S Srinivasan, H Viswanathan, ... Multiscale Modeling & Simulation 16 (4), 1948-1968, 2018 | 42 | 2018 |
| Advancing Graph‐Based Algorithms for Predicting Flow and Transport in Fractured Rock HS Viswanathan, JD Hyman, S Karra, D O'Malley, S Srinivasan, ... Water Resources Research 54 (9), 6085-6099, 2018 | 41 | 2018 |
| Flow of a fluid through a porous solid due to high pressure gradients S Srinivasan, A Bonito, KR Rajagopal Journal of Porous Media 16 (3), 2013 | 40 | 2013 |
| Model reduction for fractured porous media: a machine learning approach for identifying main flow pathways S Srinivasan, S Karra, J Hyman, H Viswanathan, G Srinivasan Computational Geosciences 23 (3), 617-629, 2019 | 37 | 2019 |
| Study of a variant of Stokes’ first and second problems for fluids with pressure dependent viscosities S Srinivasan, KR Rajagopal International Journal of Engineering Science 47 (11-12), 1357-1366, 2009 | 36 | 2009 |
| Matrix Diffusion in Fractured Media: New Insights Into Power Law Scaling of Breakthrough Curves JD Hyman, H Rajaram, S Srinivasan, N Makedonska, S Karra, ... Geophysical Research Letters 46 (23), 13785-13795, 2019 | 33 | 2019 |
| A machine learning framework for rapid forecasting and history matching in unconventional reservoirs S Srinivasan, D O’Malley, MK Mudunuru, MR Sweeney, JD Hyman, ... Scientific Reports 11 (1), 21730, 2021 | 26 | 2021 |
| Towards real-time forecasting of natural gas production by harnessing graph theory for stochastic discrete fracture networks S Dana, S Srinivasan, S Karra, N Makedonska, JD Hyman, D O'Malley, ... Journal of Petroleum Science and Engineering 195, 107791, 2020 | 25 | 2020 |
| Role of pressure dependent viscosity in measurements with falling cylinder viscometer V Průša, S Srinivasan, KR Rajagopal International Journal of Non-Linear Mechanics 47 (7), 743-750, 2012 | 25 | 2012 |
| Physics-informed machine learning for real-time unconventional reservoir management MK Mudunuru, D O’Malley, S Srinivasan, JD Hyman, MR Sweeney, ... CEUR Workshop Proceedings, 1-10, 2020 | 22* | 2020 |
| Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristics S Srinivasan, J Hyman, S Karra, D O’Malley, H Viswanathan, ... Computational Geosciences 22, 1515-1526, 2018 | 20 | 2018 |
| Operation of natural gas pipeline networks with storage under transient flow conditions SKK Hari, K Sundar, S Srinivasan, A Zlotnik, R Bent IEEE Transactions on Control Systems Technology 30 (2), 667-679, 2021 | 18 | 2021 |
| On the flow of fluids through inhomogeneous porous media due to high pressure gradients S Srinivasan, KR Rajagopal International Journal of Non-Linear Mechanics 78, 112-120, 2016 | 16 | 2016 |
| FLOW OF FLUIDS THROUGH POROUS MEDIA DUE TO HIGH PRESSURE GRADIENTS: PART 2− UNSTEADY FLOWS KR Rajagopal, S Srinivasan Journal of Porous Media 17 (9), 2014 | 16 | 2014 |
| Physics-informed machine learning for backbone identification in discrete fracture networks S Srinivasan, E Cawi, J Hyman, D Osthus, A Hagberg, H Viswanathan, ... Computational Geosciences 24, 1429-1444, 2020 | 14 | 2020 |
| Flow of “stress power-law” fluids between parallel rotating discs with distinct axes S Srinivasan, S Karra International Journal of Non-Linear Mechanics 74, 73-83, 2015 | 13 | 2015 |
| Extracting Hydrocarbon From Shale: An Investigation of the Factors That Influence the Decline and the Tail of the Production Curve AE Lovell, S Srinivasan, S Karra, D O'Malley, N Makedonska, ... Water Resources Research 54 (5), 3748-3757, 2018 | 12 | 2018 |
| A physics-informed machine learning workflow to forecast production in a fractured Marcellus shale reservoir MR Gross, JD Hyman, S Srinivasan, D O’Malley, S Karra, MK Mudunuru, ... Unconventional Resources Technology Conference, 26–28 July 2021, 3641-3648, 2021 | 10 | 2021 |
| Fast Ewald summation for Green’s functions of Stokes flow in a half-space S Srinivasan, AK Tornberg Research in the Mathematical Sciences 5 (35), 2018 | 10 | 2018 |
Jeffrey HymanEES- 16, Los Alamos National LaboratoryVerified email at lanl.gov
