The FluidFlower Validation Benchmark Study for the Storage of CO$$_2$$
From Fluid Flow to Coupled Processes in Fractured Rock: Recent Advances and New Frontiers
N. Ray, T. Banerjee, B. Nadiga, and S. Karra. "On the viability of quantum annealers to solve fluid flows." Frontiers in Mechanical Engineering , 8, 2022
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H. S. Viswanathan, J. Ajo-Franklin, J. Birkholzer, J. W. Carey, Y. Guglielmi, J. Hyman, S. Karra, L. Pyrak-Nolte, H. Rajaram, G. Srinivasan, et al. "From fluid flow to coupled processes in fractured rock: recent advances and new frontiers." Reviews of Geophysics , page e2021RG000744, 2022 2021
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Constraining maximum event magnitude during injection-triggered seismicity
S. Srinivasan, D. O’Malley,M.Mudunuru,M. Sweeney, J. Hyman, S. Karra, L. Frash, J. Carey,M. Gross, G. Guthrie, T. Carr, L. Li, and H. Viswanathan. A machine learning framework for rapid forecasting and history matching in unconventional reservoirs. S cientific Reports , 11(1), 2021
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H. Ushijima-Mwesigwa, J. D. Hyman, A. Hagberg, I. Safro, S. Karra, C. W. Gable, M. R. Sweeney, and G. Srinivasan. "Multilevel graph partitioning for three-dimensional discrete fracture network flow simulations." Mathematical Geosciences , pages 1–26, 2021
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Ahmmed, S. Karra, V. V. Vesselinov, and M. K. Mudunuru. "Machine learning to discover mineral trapping signatures due to CO2 injection." International Journal of Greenhouse Gas Control , 109:103382, 2021
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Ahmmed, M. Mudunuru, S. Karra, S. James, and V. Vesselinov. "A comparative study of machine learning models for predicting the state of reactive mixing." Journal of Computational Physics , page 110147, 2021
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B. Ahmmed, M. K. Mudunuru, S. Karra, S. C. James, H. Viswanathan, and J. A. Dunbar. PFLOTRAN-SIP: A PFLO-TRAN module for simulating spectral-induced polarization of electrical impedance data. Energies, 13(24):6552, 2020
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S. Srinivasan, D. O’Malley, J. D. Hyman, S. Karra, H. S. Viswanathan, and G. Srinivasan. Transient flow modeling in fractured media using graphs. Physical Review E, 102:052310, Nov 2020
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N. Makedonska, S. Karra, H. S. Viswanathan, and G. Guthrie. Role of interaction between hydraulic and natural fractures on production. Journal of Natural Gas Science and Engineering, 82:103451, 2020
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N. Lubbers, A. Agarwal, Y. Chen, S. Son, M.Mehana, Q. Kang, S. Karra, C. Junghans, T. C. Germann, and H. S. Viswanathan. Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media. Scientific Reports, 10(1):1–13, 2020
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S. Dana, S. Srinivasan, S. Karra, N. Makedonska, J. D. Hyman, D. O’Malley, H. Viswanathan, and G. Srinivasan. Towards real-time forecasting of natural gas production by harnessing graph theory for stochastic discrete fracture networks. Journal of Petroleum Science and Engineering, 195:107791, 2020
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V. Romano, S. Bigi, F. Carnevale, J. D. Hyman, S. Karra, A. J. Valocchi, M. C. Tartarello, and M. Battaglia. Hydraulic characterization of a fault zone from fracture distribution. Journal of Structural Geology, page 104036, 2020
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D. Osthus, J. D. Hyman, S. Karra, N. Panda, and G. Srinivasan. A probabilistic clustering approach for identifying primary subnetworks of discrete fracture networks with quantified uncertainty. SIAM/ASA Journal on Uncertainty Quantification, 8(2):573–600, 2020
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M. Sweeney, C. Gable, S. Karra, P. Stauffer, R. Pawar, and J. D. Hyman. Upscaled discrete fracture matrix model (UDFM): an octree-refined continuum representation of fractured porous media. Computational Geosciences, 24:293–310, 2020
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M. K. Mudunuru, N. Panda, S. Karra, G. Srinivasan, V. T. Chau, E. Rougier, A. Hunter, and H. S. Viswanathan. Surrogate models for estimating failure in brittle and quasi-brittle materials. Applied Sciences, 9(13):2706, 2019
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A. Iraola, P. Trinchero, S. Karra, and J. Molinero. Assessing dual continuum method for multicomponent reactive transport. Computers & Geosciences, 130:11–19, 2019
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V. Vesselinov, M. Mudunuru, S. Karra, D. O’Malley, and B. Alexandrov. Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing. Journal of Computational Physics, 395:85–104, 2019
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S. Srinivasan, S. Karra, J. Hyman, H. Viswanathan, and G. Srinivasan. Model reduction for fractured porous media: a machine learning approach for identifying main flow pathways. Computational Geosciences, 23(3):617–629, 2019
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A. Hunter, B. A. Moore, M. Mudunuru, V. Chau, R. Tchoua, C. Nyshadham, S. Karra, D. O’Malley, E. Rougier, H. Viswanathan, et al. Reduced-order modeling through machine learning and graph-theoretic approaches for brittle fracture applications. Computational Materials Science, 157:87–98, 2019
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S. Rahimi-Aghdam, V.-T. Chau, H. Lee, H. Nguyen, W. Li, S. Karra, E. Rougier, H. Viswanathan, G. Srinivasan, and Z. P. Bažant. Branching of hydraulic cracks enabling permeability of gas or oil shale with closed natural fractures. Proceedings of the National Academy of Sciences, 116(5):1532–1537, 201
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Reduced-order modeling through machine learning and graph-theoretic approaches for brittle fracture applications
S. Srinivasan, J. Hyman, S. Karra, D. O’Malley, H. Viswanathan, and G. Srinivasan. Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristics. Computational Geosciences, 22(6):1515–1526, 2018
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G. Srinivasan, J. D. Hyman, D. A. Osthus, B. A. Moore, D. O’Malley, S. Karra, E. Rougier, A. A. Hagberg, A. Hunter, and H. S. Viswanathan. Quantifying topological uncertainty in fractured systems using graph theory and machine learning. Scientific Reports, 8(1):11665, 2018
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D. R. Harp, J. P. Ortiz, S. Pandey, S. Karra, D. Anderson, C. Bradley, H. Viswanathan, and P. H. Stauffer. Immobile pore-water storage enhancement and retardation of gas transport in fractured rock. Transport in Porous Media, 124(2):369–394, Sep 2018
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G. D. Guthrie, R. J. Pawar, J. W. Carey, S. Karra, D. R. Harp, and H. S. Viswanathan. The mechanisms, dynamics, and implications of self-sealing and CO2 resistance in wellbore cements. International Journal of Greenhouse Gas Control, 75:162–179, 2018
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S. Karra, D. O’Malley, J. Hyman, H. Viswanathan, and G. Srinivasan. Modeling flow and transport in fracture networks using graphs. Physical Review E, 97(3):033304, 2018
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