dfnWorks Small Team LANL Distinguished Performance Award, 2018
LANL Fellows Prize for Outstanding Research, 2018
Professional Societies
American Geophysical Union
American Chemical Society
Publications
Viswanathan, H.S., J. D. Hyman, S. Karra, D. O’Malley, S. Srinivasan, A. Hagberg, and G. Srinivasan. Advancing graph-based algorithms for predicting flow and transport in fractured rock. Submitted to Water Resour. Res., 2018.
G. Aldrich, J. Lukasczyk, J.D. Hyman, G. Srinivasan, H. Viswanathan, H. Leitte, J. Ahrens, B. Hamann A Query-based Framework for Searching, Sorting, and Exploring Data Ensembles, submitted to IEEE Computing in science and engineering, 2018.
E. Lovell, S. Srinivasan, S. Karra, D. O’Malley, N. Makedonska, H. S. Viswanathan, G. Srinivasan, J. W. Carey, and L. P. Frash. Extracting hydrocarbon from shale: An investigation of the factors that influence the decline and the tail of the production curve. Water Resources Research, 2017.
O’Malley, S. Karra, J. D. Hyman, H. Viswanathan, and G. Srinivasan. Efficient monte carlo with graph-based subsurface flow and transport models. Water Resour. Res., 2017.
Srinivasan, J. D. Hyman, D. Osthus, B. Moore, D. O’Malley, S. Karra, E Rougier, A. Hagberg, A. Hunter, and H. S. Viswanathan. Quantifying topological uncertainty in fractured systems using graph theory and machine learning. Scientific Reports, 2017.
Zhao, J., Kang, Q., Pawar, R., Viswanathan, H.S., The Effect of Wettability Heterogeneity on Relative Permeability of Two-phase Flow in Porous Media: A Lattice Boltzmann Study, submitted to Water Resources Research.
Karra, S., O’Malley, D. O., Hyman, J.D., Viswanathan, H.S., Srinivasan, G., Modeling flow and transport in fracture networks using graphs, submitted to PRE.
J. D. Hyman, J.W. Carey, S. Karra, C.W. Gable, H. Viswanathan, E. Rougier, and Z. Lei. Discontinuities in effective permeability due to fracture percolation, accepted to Mechanics of Materials, 2018
Miller, R., Moore, B. Viswanathan, H., Srinivasan, G., Image analysis using Convolution Neural Networks for Modeling Fracture Propagation, IEEE International Conference on Data Mining.
Valera, M., Guo, Z., Kelly, P., Matz, S., Cantu, A., Percus, A.G., Hyman, J.D., Srinivasan, G., Viswanathan., H., Machine learning for graph-based representations of three-dimensional discrete fracture networks, accepted Computers and Geosciences.
Zhang, Y., Zeng, Z., Dai, Z., Viswanathan, H.S., Xiao, T., Ma, Y., Feng, X., Experimental investigation on oil migration and accumulation in tight sandstones, Journal of of Petroleum Science and Engineering, vol 160, pp. 267-275, 2018.
Mudunuru, M.K., Karra, S., Harp, D.R., Guthrie, G.D., Viswanathan, H.S., Regression-based reduced-order models to predict transient thermal output for enhanced geothermal systems, Geothermics, Vol. 70, pp. 192-205, 2017.
Xiao, T., Dai, Z., McPherson, B., Viswanathan, H.S., Jia, W., Reactive transport modeling of arsenic mobilization in shallow groundwater: Impacts of CO2 and brine leakage, Geomechanics and Geophysics for Geo-Energy and Geo-Resources, vol 3., pp. 339-350, 2017.
Hadgu, T., Karra, S., Kalinina, E., Makedonska, N., Hyman, J.D., Klise, K., Viswanathan. H.S., Wang, Y., A Comparative Study of Discrete Fracture Network and Equivalent Continuum Models for Simulating Flow and Transport in the Far Field of a Hypothetical Nuclear Waste Repository in Crystalline Host Rock, Journal of Hydrology, 2017.
Frash, L.P., Carey, J.W., Ickes, T., Viswanathan, H.S., Caprock integrity susceptibility to permeable fracture creation, International Journal of Greenhouse Gas Control, 64, pp. 60-72, 2017.
