Machine learning techniques for fractured media
作者： Shriram Srinivasan , Jeffrey D. Hyman , Daniel O'Malley , Satish Karra , Hari S. Viswanathan
DOI: 10.1016/BS.AGPH.2020.08.001
关键词: Machine learning 、 Network connectivity 、 Graph theory 、 Graph (abstract data type) 、 Artificial intelligence 、 Computer science
摘要: Abstract This is primarily an account of the role machine learning, including played by graph theory, in development reduced-order models (ROM) flow and transport through fractured media that are modeled with DFN approach. We describe construction a DFN, necessary governing equations for various representations it. The ROMs then traced divided into different unifying themes. set out, general terms, learning constructing place three approaches have been developed this context abstract perspective, explain fundamental ideas each show differ identity elements being classified, rule assigning labels to elements. By choosing as paths, rather than fractures, truly physics-informed method results preserves network connectivity reduced networks.
sci-hub.st 参考文章(92)
Stefano Berrone, Sandra Pieraccini, Stefano Scialò, Fabio Vicini, A Parallel Solver for Large Scale DFN Flow Simulations SIAM Journal on Scientific Computing. ,vol. 37, ,(2015) , 10.1137/140984014
Elizabeth Santiago, Manuel Romero-Salcedo, Jorge X. Velasco-Hernández, Luis G. Velasquillo, J. Alejandro Hernández, An integrated strategy for analyzing flow conductivity of fractures in a naturally fractured reservoir using a complex network metric mexican international conference on artificial intelligence. pp. 350- 361 ,(2012) , 10.1007/978-3-642-37798-3_31
A. Frampton, V. Cvetkovic, Numerical and analytical modeling of advective travel times in realistic three‐dimensional fracture networks Water Resources Research. ,vol. 47, ,(2011) , 10.1029/2010WR009290
M. Karimi-Fard, B. Gong, L. J. Durlofsky, Generation of coarse‐scale continuum flow models from detailed fracture characterizations Water Resources Research. ,vol. 42, pp. 10423- ,(2006) , 10.1029/2006WR005015
Jean-Raynald de Dreuzy, Caroline Darcel, Philippe Davy, Olivier Bour, Influence of spatial correlation of fracture centers on the permeability of two-dimensional fracture networks following a power law length distribution Water Resources Research. ,vol. 40, ,(2004) , 10.1029/2003WR002260
Charles Jenkins, Andy Chadwick, Susan D. Hovorka, The state of the art in monitoring and verification—Ten years on International Journal of Greenhouse Gas Control. ,vol. 40, pp. 312- 349 ,(2015) , 10.1016/J.IJGGC.2015.05.009
T. W. Patzek, F. Male, M. Marder, Gas production in the Barnett Shale obeys a simple scaling theory Proceedings of the National Academy of Sciences of the United States of America. ,vol. 110, pp. 19731- 19736 ,(2013) , 10.1073/PNAS.1313380110
S. Painter, V. Cvetkovic, Upscaling discrete fracture network simulations: An alternative to continuum transport models Water Resources Research. ,vol. 41, pp. 02002- ,(2005) , 10.1029/2004WR003682
M. H. B. Nasseri, H. O. Ghaffari, R. P. Young, Fluid Flow Complexity in Fracture Networks: Analysis with Graph Theory and LBM arXiv: Computational Engineering, Finance, and Science. ,(2011)
J. D. Hyman, S. L. Painter, H. Viswanathan, N. Makedonska, S. Karra, Influence of injection mode on transport properties in kilometer-scale three-dimensional discrete fracture networks Water Resources Research. ,vol. 51, pp. 7289- 7308 ,(2015) , 10.1002/2015WR017151