Article
Chemistry, Multidisciplinary
Mingwei Li, Zhifang Zhou, Meng Chen, Jian Wu
Summary: Studying the topological characteristics of fractured rock mass can help estimate the topological representative element volume (TREV) and accurately calculate the permeability representative element volume (PREV), simplifying the seepage calculation process.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Sciences
Zitong Zhou, Delphine Roubinet, Daniel M. Tartakovsky
Summary: A method for inferring fracture density and fractal dimension of fractured rocks from thermal experiments data is presented. This method shows that fracture density can be well constrained by data, while fractal dimension is harder to determine. Adding nonuniform prior information related to fracture network connectivity improves the inference of fractal dimension parameter.
WATER RESOURCES RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Kangsheng Xue, Zhenyu Zhang, Yujing Jiang, Yong Luo
Summary: The study proposes three independent topological parameters to describe the geometric characteristics of fractured rocks: fracture mean density (epsilon mean), network connectivity (nseg), and the average number of fractures intersecting with inlet and outlet boundaries per meter (Cmean). A prediction model of permeability is established based on these topological parameters and fracture aperture. The relationship between topological parameters, aperture, and permeability is analyzed using over 300 models generated by the Monte Carlo method. A multivariate regression equation with a correlation coefficient larger than 0.91 is constructed for predicting permeability. The deviation between permeability obtained from the prediction model and numerical simulation is less than 2%, verifying the accuracy of the prediction model.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Chemistry, Multidisciplinary
Luat Khoa Tran, Stephan Konrad Matthai
Summary: This study focuses on rainwater infiltration into fractured rock and examines the impact of fracture-matrix transfer (FMT) on infiltration depth. It was found that FMT has a significant influence on the infiltration rate within a specific fracture aperture range, and variations in fracture aperture can enhance finger-like infiltration. Additionally, the interaction between fracture flow and FMT is complex.
APPLIED SCIENCES-BASEL
(2021)
Review
Energy & Fuels
Na Huang, Richeng Liu, Yujing Jiang, Yuanfang Cheng
Summary: This paper reviews the development and application of 3D DFNs for modeling naturally fractured rocks, investigating issues related to generation, discretization, and flow calculation. Extensions to modeling multiphase flow in discrete-fractured media using DFNs are also considered, offering researchers insights into previous achievements and potential future works.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2021)
Article
Environmental Sciences
Siyu Wei, Yanyan Li, Yanjun Shang, Yuanchun Sun, Kun Li
Summary: The study found that randomly distributed discrete fractures have an impact on underground excavation, with fracture intensity, dip angle, and strike affecting the surrounding rock stability; fracture intensity mainly affects the magnitude of induced stress and displacement, while dip angle and strike have more impact on the distribution of displacement and failure modes.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Engineering, Geological
Zheng-Wei Li, Yuan Liu, Shi-Ming Mei, Shi-Cheng Xing, Xiao-Kai Wang
Summary: In this study, the effective thermal conductivity of fractured rock masses was numerically investigated, revealing a relationship between lambda(Eff) and fracture parameters that can be fitted with power law or negative exponent functions. It was also found that lambda(Eff) is linearly positively correlated with lambda(Intact), with the slope of the fitted line determined by fracture network parameters.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Article
Mechanics
Hao Shi, Chen Wenlong, Houquan Zhang, Song Lei, Li Ming, Wang Miaojing, Lu Pengju
Summary: This study investigated the effect of natural fractures on the dynamic impact strength of rock mass through numerical specimen simulations and experiments. The research found that the number of prefabricated fractures is related to stress transmission and impact strength.
ENGINEERING FRACTURE MECHANICS
(2023)
Article
Engineering, Civil
Jaspreet Singh, Sarada Prasad Pradhan, Vikram Vishal, Mahendra Singh
Summary: Rock mass heterogeneity due to structural discontinuities poses a significant concern to transportation. Characterizing the rock mass is crucial for preliminary investigation, with the Geological Strength Index (GSI) being a commonly used method. Advances in computational techniques, such as discrete fracture network (DFN) modeling and remote sensing, provide more precise data for examining rock mass characteristics. This work focuses on incorporating DFN in estimating GSI and utilizes machine learning to digitize the standard GSI chart.
TRANSPORTATION GEOTECHNICS
(2023)
Article
Engineering, Geological
Jiayao Chen, Hyungjoon Seo, Chengzhan Gao, Qian Fang, Dingli Zhang, Hongwei Huang
Summary: A comprehensive method for evaluating similarity between 2D fracture maps is proposed, including five evaluation indicators and similarity calculation based on grouping matching of trace lines. The results show that grouping similarity indicators are more rigorous and suitable for engineering modeling. The proposed method effectively solves the difficulty of comprehensive distribution similarity evaluation and achieves more objective evaluation of position and density indicators. The established evaluation system is applied to real tunnel construction, improving the accuracy of fracture modeling.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Engineering, Geological
Kun Xiao, Ru Zhang, Jing Xie, Li Ren, Mingzhong Gao, Zetian Zhang, Chendi Lou, Ting Ai, Ersheng Zha
Summary: This study investigates the impact of fracture characteristics on the mechanical and hydraulic properties of rock mass. By simplifying fractures as non-similar ellipses, a multifactor coupling stereological relationship of the sampling trace length distribution is established. The distribution expressions of the major axis and axial ratio of the elliptical fractures are obtained, and a method is proposed to solve the probability density function of the characteristic size of the elliptical fractures. The applicability of the proposed method is verified through a Monte Carlo statistical simulation.
ROCK MECHANICS AND ROCK ENGINEERING
(2023)
Article
Engineering, Geological
Chuang-Bing Zhou, Yi-Feng Chen, Ran Hua, Zhibing Yang
Summary: Groundwater flow through fractured rocks is significant in geotechnical engineering practices. The paper discusses various aspects including the mechanisms of fluid flow, characterization of hydraulic properties, numerical modeling, and engineering applications. The microscopic mechanisms of fluid flow in fractured rocks under complex conditions have been revealed through visualized experiments and theoretical analysis. Methods for characterizing hydraulic properties and numerical simulation approaches for groundwater flow have been proposed, and case studies demonstrate the application of theoretical understanding, modeling approaches, and control strategies in geotechnical engineering projects.
JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Christian Zangerl, Matthias Koppensteiner, Thomas Strauhal
Summary: This study presents a semi-automatic workflow for determining basic discontinuity parameters of fractured rock masses. It aims to promote the use of widely accepted statistical evaluation methods in fields such as engineering geology and rock mechanics. The workflow is tested on data from a study site in granodioritic rock, and all scripts used are provided for easier implementation.
APPLIED SCIENCES-BASEL
(2022)
Article
Geosciences, Multidisciplinary
Xu Zhou, Qingfu Zhang, Hongchuan Xing, Jianrong Lv, Haibin Su, Zhaoqin Huang
Summary: Acidizing technology is an effective method for reservoir reformation, with the optimal injection rate being a key factor in reducing costs and improving results in fractured carbonate rock. Fractures have no impact on the optimal acid injection rate, only affecting the dissolution structure.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Geosciences, Multidisciplinary
Uwe Troeger, Antonio Chambel
Summary: The text describes the development of hydrogeology in hard-rock and fractured-rock aquifers, explaining the differences between porous aquifers and karst, as well as the groundwater flow regimes in different fractured rocks. It also discusses numerical modeling and highlights specific challenges, while mentioning the importance of fractured-rock aquifers and tools for groundwater exploration and resource management. The essay introduces a topical collection of articles.
HYDROGEOLOGY JOURNAL
(2021)
Article
Energy & Fuels
N. Makedonska, S. Karra, H. S. Viswanathan, G. D. Guthrie
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
(2020)
Article
Energy & Fuels
Bulbul Ahmmed, Maruti Kumar Mudunuru, Satish Karra, Scott C. James, Hari Viswanathan, John A. Dunbar
Article
Computer Science, Interdisciplinary Applications
B. Ahmmed, M. K. Mudunuru, S. Karra, S. C. James, V. V. Vesselinov
Summary: Mixing phenomena play a crucial role in controlling flow, species transport, and reaction processes. This study utilized a finite-element numerical model to simulate reactive mixing scenarios and trained machine learning models to emulate system behavior. Ensemble methods and MLP models were found to accurately classify the state of reactive mixing and predict quantities of interest, making them excellent emulators for these numerical simulations.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Energy & Fuels
Saumik Dana, Shriram Srinivasan, Satish Karra, Nataliia Makedonska, Jeffrey D. Hyman, Daniel O'Malley, Hari Viswanathan, Gowri Srinivasan
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2020)
Article
Geochemistry & Geophysics
Martin Schoenball, Jonathan B. Ajo-Franklin, Doug Blankenship, Chengping Chai, Aditya Chakravarty, Patrick Dobson, Chet Hopp, Timothy Kneafsey, Hunter A. Knox, Monica Maceira, Michelle C. Robertson, Parker Sprinkle, Christopher Strickland, Dennise Templeton, Paul C. Schwering, Craig Ulrich, Todd Wood
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2020)
Article
Engineering, Multidisciplinary
M. K. Mudunuru, S. Karra
Summary: This paper introduces a physics-informed machine learning framework for constructing reduced-order models for reactive-transport quantities of interest based on high-fidelity numerical simulations. The importance of model inputs/features with respect to QoIs is evaluated using random forests, F-test, and mutual information criterion. Support Vector Machines and Support Vector Regression are used to construct ROMs, which are able to predict the reaction-diffusion system state reasonably well with an R-2 score greater than 0.9 on unseen data.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Ziyan Li, Derek Elsworth, Chaoyi Wang, L. Boyd, Z. Frone, E. Metcalfe, A. Nieto, S. Porse, W. Vandermeer, R. Podgorney, H. Huang, T. McLing, G. Neupane, A. Chakravarty, P. J. Cook, P. F. Dobson, C. A. Doughty, Y. Guglielmi, C. Hopp, M. Hu, R. S. Jayne, S. E. Johnson, K. Kim, T. Kneafsey, S. Nakagawa, G. Newman, P. Petrov, J. C. Primo, M. Robertson, V. Rodriguez-Tribaldos, J. Rutqvist, M. Schoenball, E. L. Sonnenthal, F. A. Soom, S. Sprinkle, C. Ulrich, C. A. Valladao, T. Wood, Y. Q. Zhang, Q. Zhou, L. Huang, Y. Chen, T. Chen, B. Chi, Z. Feng, L. P. Frash, K. Gao, E. Jafarov, S. Karra, N. Makedonska, D. J. Li Li, R. Pawar, N. Welch, P. Fu, R. J. Mellors, C. E. Morency, J. P. Morris, C. S. Sherman, M. M. Smith, D. Templeton, J. L. Wagoner, J. White, H. Wu, J. Moore, S. Brown, D. Crandall, P. Mackey, T. Paronish, S. Workman, B. Johnston, K. Beckers, J. Weers, Y. Polsky, M. Maceira, C. P. Chai, A. Bonneville, J. A. Burghardt, J. Horner, T. C. Johnson, H. Knox, J. Knox, B. Q. Roberts, P. Sprinkle, C. E. Strickland, J. N. Thomle, V. R. Vermeul, M. D. White, D. Blankenship, M. Ingraham, T. Myers, J. Pope, P. Schwering, A. Foris, D. K. King, J. Feldman, M. Lee, J. Su, T. Baumgartner, J. Heise, M. Horn, B. Pietzyk, D. Rynders, G. Vandine, D. Vardiman, T. Doe, J. McLennan, Y. S. Wu, J. Miskimins, P. Winterfeld, K. Kutun, M. D. Zoback, A. Singh, R. N. Horne, K. Li, A. Hawkins, Y. Zhang, E. Mattson, D. Elsworth, K. J. Im, Z. Li, C. J. Marone, E. C. Yildirim, J. Ajo-Franklin, A. Ghassemi, D. Kumar, V. Sesetty, A. Vachaparampil, H. F. Wang, H. Sone, K. Condon, B. Haimson, W. Roggenthen, C. Medler, N. Uzunlar, C. Reimers, M. W. McClure
Summary: This study emphasizes the importance of understanding the mechanisms controlling fluid injection-triggered seismicity in order to mitigate the impact of earthquakes. By conducting experiments and observations, researchers proposed a new framework to define maximum event magnitudes as a function of pre-existing critical stresses and fluid injection volume.
NATURE COMMUNICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Bulbul Ahmmed, Satish Karra, Velimir V. Vesselinov, Maruti K. Mudunuru
Summary: In this study, machine learning (ML) techniques were applied to analyze reactive-transport simulation data of geological CO2 sequestration (GCS). The NMFk method was found to reveal hidden mechanisms and stage-specific attributes in the data, identifying important properties for mineral trapping. The results showed that calcite plays a significant role in mineral trapping, while the contributions of other minerals are relatively minor.
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL
(2021)
Correction
Geosciences, Multidisciplinary
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Matthew R. Sweeney, Gowri Srinivasan
MATHEMATICAL GEOSCIENCES
(2021)
Article
Geosciences, Multidisciplinary
Hayato Ushijima-Mwesigwa, Jeffrey D. Hyman, Aric Hagberg, Ilya Safro, Satish Karra, Carl W. Gable, Matthew R. Sweeney, Gowri Srinivasan
Summary: This study introduces a topology-based method for mesh-partitioning in three-dimensional discrete fracture network (DFN) simulations, which leverages the multi-level nature of a DFN. By comparing different methods based on graph-based metrics and computational performance, it is found that DFN-based partitioning is faster and outperforms mesh-based partitioning in terms of total run time.
MATHEMATICAL GEOSCIENCES
(2021)
Review
Geochemistry & Geophysics
H. S. Viswanathan, J. Ajo-Franklin, J. T. Birkholzer, J. W. Carey, Y. Guglielmi, J. D. Hyman, S. Karra, L. J. Pyrak-Nolte, H. Rajaram, G. Srinivasan, D. M. Tartakovsky
Summary: Quantitative prediction of phenomena in fractured rock is a major challenge in Earth and Energy Sciences. Recent advances in research have improved understanding and prediction of flow and transport in fractured systems, with applications in various fields.
REVIEWS OF GEOPHYSICS
(2022)
Article
Multidisciplinary Sciences
Shriram Srinivasan, Daniel O'Malley, Maruti K. Mudunuru, Matthew R. Sweeney, Jeffrey D. Hyman, Satish Karra, Luke Frash, J. William Carey, Michael R. Gross, George D. Guthrie, Timothy Carr, Liwei Li, Hari S. Viswanathan
Summary: The novel workflow proposed in this study combines reduced-order models and machine-learning to forecast production in unconventional reservoirs. By utilizing transfer learning to combine fast but less accurate models with slow but accurate models, the study addresses the challenges of real-time reservoir management, such as data scarcity and computational expense. The results demonstrate that training with low-fidelity models is not enough for accurate forecasting, but transfer learning can enhance knowledge and perform well when trained with results from high-fidelity models.
SCIENTIFIC REPORTS
(2021)
Article
Geosciences, Multidisciplinary
Jeffrey D. Hyman, Alexis Navarre-Sitchler, Elizabeth Andrews, Matthew R. Sweeney, Satish Karra, J. William Carey, Hari S. Viswanathan
Summary: Field measurements of apparent geochemical weathering reaction rates in subsurface fractured porous media deviate significantly from laboratory measurements. This discrepancy has not been geologically explained for predicting reaction rates in field systems. Through numerical simulations, it is found that geological structure could be a primary reason for the difference in apparent dissolution rates between laboratory and field observations.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Energy & Fuels
Mohamed Mehana, Javier E. Santos, Chelsea Neil, James William Carey, George Guthrie, Jeffery Hyman, Qinjun Kang, Satish Karra, Mathew Sweeney, Hongwu Xu, Hari Viswanathan
Summary: This article summarizes important findings and methods regarding shale reservoirs to improve hydrocarbon extraction efficiency and minimize environmental impact. By integrating fundamental knowledge and machine learning, a pathway to enhance model prediction capabilities is outlined, and science-based workflows and platforms for pressure-drawdown optimization, real-time management, and uncertainty quantification are presented.
Article
Engineering, Mechanical
Navamita Ray, Tirtha Banerjee, Balu Nadiga, Satish Karra
Summary: This paper explores the suitability of adiabatic annealing based quantum computers in solving fluid dynamics problems. It provides a framework to convert such problems and explores multiple solution selection strategies.
FRONTIERS IN MECHANICAL ENGINEERING-SWITZERLAND
(2022)
